CN112232769A - Method, apparatus, device and medium for genetic resource related declaration - Google Patents

Method, apparatus, device and medium for genetic resource related declaration Download PDF

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CN112232769A
CN112232769A CN202011111739.1A CN202011111739A CN112232769A CN 112232769 A CN112232769 A CN 112232769A CN 202011111739 A CN202011111739 A CN 202011111739A CN 112232769 A CN112232769 A CN 112232769A
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declaration
information
content
item
template
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胡磊
张琰
李婷
王程
黄伊
吴铮
于希
张�浩
朱真樾
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Bayer Healthcare LLC
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    • G06F40/00Handling natural language data
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires

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Abstract

Embodiments of the present disclosure relate to methods, apparatuses, devices and computer program products for genetic resource related declaration. The method proposed herein comprises: in response to a declaration request for executing target processing for genetic resources, determining a declaration template corresponding to the declaration request, the declaration template including items to be filled in; generating reference content for the item to be filled based on an information set associated with the declaration request and a content acquisition policy corresponding to the item to be filled, the information set including information about attributes associated with the target process; and generating a declaration document for the declaration request based on the reference content. Embodiments of the present disclosure can automatically generate a declaration document for requesting execution of a process on a genetic resource (e.g., a human genetic resource), thereby greatly reducing human costs.

Description

Method, apparatus, device and medium for genetic resource related declaration
Technical Field
Embodiments of the present disclosure relate to the field of genetic resource management, and more particularly, to methods, apparatuses, devices, and computer storage media for declaration related to genetic resources.
Background
Human genetic resources are not only the fundamental material for developing human genome biodiversity, understanding the origin and evolution of human, but also the material basis for the study of human genetic diseases and many serious diseases. Due to the importance of human genetic resources, various countries have relevant regulations for the handling of human genetic resources in our country. For example, in 2019, in 7 and 1, China, the regulation of human genetic resource management of the people's republic of China was implemented, and regulations on the collection, preservation, utilization and external provision of human genetic resources in China were stipulated. In addition, some different countries may also specify the use of other types of genetic resources (e.g., animal genetic resources and plant genetic resources, etc.).
In general, scientific research institutions, higher schools, medical institutions or enterprises apply for cooperative scientific research using genetic resources (e.g., human genetic resources), and submit declaration documents to genetic resource management institutions (e.g., the human genetic resource management office of the department of scientific technology, china), and only after approval, relevant genetic resource research can be performed. However, such declaration documents often involve a lot of contents, which results in a great deal of labor and time cost for preparing such declaration documents for scientific research institutions, higher schools, medical institutions, or enterprises.
Disclosure of Invention
Embodiments of the present disclosure provide a scheme for declaration relating to genetic resources.
According to a first aspect of the present disclosure, a method for declaration relating to genetic resources is presented. The method comprises the following steps: in response to a declaration request for executing target processing for genetic resources, determining a declaration template corresponding to the declaration request, the declaration template including items to be filled in; generating reference content for the item to be filled based on an information set associated with the declaration request and a content acquisition policy corresponding to the item to be filled, the information set including information about attributes associated with the target process; and generating a declaration document for the declaration request based on the reference content.
According to a second aspect of the present disclosure, an apparatus for declaration relating to genetic resources is presented. The device includes: a declaration template determination module configured to determine, in response to a declaration request for performing target processing for a genetic resource, a declaration template corresponding to the declaration request, the declaration template including an item to be filled in; a reference content generation module configured to generate reference content for the item to be filled based on an information set associated with the declaration request and a content acquisition policy corresponding to the item to be filled, the information set including information about an attribute associated with the target process; and a declaration document generation module configured to generate a declaration document for the declaration request based on the reference content.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a memory and a processor; wherein the memory is for storing one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method according to the first aspect of the disclosure.
According to a fourth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon one or more computer instructions, wherein the one or more computer instructions are executed by a processor to implement a method according to the first aspect of the present disclosure.
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the disclosure, nor is it intended to be used to limit the scope of the disclosure.
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The foregoing and other objects, features and advantages of the disclosure will be apparent from the following more particular descriptions of exemplary embodiments of the disclosure as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the disclosure.
FIG. 1 illustrates a schematic diagram of an example environment in which embodiments of the present disclosure can be implemented;
FIG. 2 illustrates a flow chart of a process for declaration relating to genetic resources in accordance with an embodiment of the present disclosure;
FIG. 3 illustrates a schematic diagram of an example declaration template, in accordance with an embodiment of the present disclosure;
FIG. 4 illustrates a schematic diagram of an example information set, in accordance with an embodiment of the present disclosure;
FIG. 5 illustrates a flow chart of an example process of generating reference content according to an embodiment of the present disclosure;
FIG. 6 illustrates a flow chart of an example process of building an information set according to an embodiment of the present disclosure;
FIG. 7 illustrates a schematic diagram of an example source file, according to an embodiment of the present disclosure;
FIG. 8 illustrates a flowchart of an example process of generating a declaration document, according to an embodiment of the present disclosure;
fig. 9 illustrates a schematic block diagram of an apparatus for correlating genetic resources, in accordance with some embodiments of the present disclosure; and
FIG. 10 illustrates a schematic block diagram of an example device that can be used to implement embodiments of the present disclosure.
Detailed Description
Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The term "include" and variations thereof as used herein is meant to be inclusive in an open-ended manner, i.e., "including but not limited to". Unless specifically stated otherwise, the term "or" means "and/or". The term "based on" means "based at least in part on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment". The term "another embodiment" means "at least one additional embodiment". The terms "first," "second," and the like may refer to different or the same object. Other explicit and implicit definitions are also possible below.
As discussed above, preparing a declaration document relating to human genetic resources is often labor and time consuming for a scientific research institution, an advanced school, a medical institution, or a business. In addition, preparing such a declaration document may also involve preparing a large number of other files and filling in information of the other files into the declaration document. For example, a research institution, an advanced school, a medical institution/business may need to prepare a clinical study scenario as an attachment and to keep it consistent with the information in the attachment in the process of preparing the final filing document. This further increases the time invested by the scientific research institution/enterprise.
According to an embodiment of the present disclosure, a scheme for declaration related to genetic resources is provided. In this scenario, first, a declaration template corresponding to a declaration request, which may be related to a genetic resource performing a target process, may be determined. Reference content for the item to be filled in the declaration template may then be generated based on the set of information associated with the declaration request and the content acquisition policy corresponding to the item to be filled in. Subsequently, a declaration document for the declaration request may be automatically generated based on the generated reference content. In this way, the embodiment of the disclosure can automatically acquire the information to be filled in the declaration template corresponding to the declaration request, and further automatically complete the generation of the declaration document. This, in turn, can greatly improve the efficiency of generating the declaration documents, reducing the labor cost and time cost that the declaration parties (e.g., scientific research institutions, higher schools, medical institutions/enterprises) need to spend.
For convenience of description, the application is described hereinafter with human genetic resources as an example. It is to be understood that processing with respect to other types of genetic resources (e.g., animal genetic resources or plant genetic resources) may also need to be managed or constrained according to different regulations regarding genetic resources for different regions.
Referring initially to FIG. 1, a schematic diagram of an environment 100 is schematically illustrated in which exemplary implementations according to the present disclosure may be used. As shown in FIG. 1, environment 100 includes a computing device configured to automatically generate a declaration document 150 according to the processes described in this disclosure.
In an example scenario, computing device 120 may receive a claim request from a user to perform targeted processing for a genetic resource, for example. For example, a user can send a claim request to computing device 120 through operation of a presented Graphical User Interface (GUI), which can specify, for example, a particular treatment for a genetic resource.
For example, a user may select, at a terminal device (e.g., a personal computer) coupled to computing device 120, the type of processing performed on the genetic resource involved in the present declaration, to enable the terminal device to send a declaration request to computing device 120 (e.g., a server device). It should be appreciated that a user may also utilize an input device to interact directly with computing device 120 to generate the claim request.
In another example scenario, the declaration request may also be automatically generated by computing device 120 or another device coupled to computing device 120 (e.g., a terminal device). For example, the computing device 120 can periodically generate a claim request to automatically create a claim document from an existing file. Alternatively, the computing device 120 can check the integrity of the required file for declaration and, upon determining that the required file is complete, automatically generate a declaration request to create a declaration document.
It should be understood that the "declaration request" herein is intended to be used to trigger the computing device 120 to create the declaration document 150. Any suitable type of signal, message, or instruction, etc., may be used as a "declaration request," as desired for implementation.
In some implementations, the request for declaration may instruct a scientific research institution, an advanced school, a medical institution/enterprise to apply to the genetic resource management institution for performing a particular type of processing on the genetic resource. For example, the processing may include collecting genetic resources, preserving genetic resources, utilizing genetic resources, or providing genetic resources to the outside, or the like.
Upon determining a claim request, computing device 120 can determine a claim template corresponding to the claim request. Illustratively, as shown in FIG. 1, the computing device 120 can determine, for example, a declaration template corresponding to the declaration request from among a plurality of candidate templates 110. Such candidate templates 110 may be stored, for example, in a storage device to which the computing device 120 is coupled. The determination process for declaring a template will be described in detail below in conjunction with fig. 2, and will not be described in detail here.
As shown in fig. 1, computing device 120 may also obtain information set 130. The set of information 130 may include information about attributes associated with a targeted treatment for a genetic resource. Illustratively, the set of information 130 may be stored, for example, in a storage device to which the computing device 120 is coupled.
In some implementations, the set of information 130 can, for example, maintain different information about attributes of the targeted process requesting approval (e.g., an external offer of a genetic resource), such as an item number, an item title, a partner, and so forth of the externally offered item. The information sets 130 may be organized, for example, as one or more data tables to enable the computing device 120 to obtain values for particular attributes through particular fields.
In some implementations, the information sets 130 may also be automatically created from uploaded related files 160 (hereinafter also referred to as "source files"), for example. An example creation process for the information set 130 may refer, for example, to that described below with respect to fig. 6.
As shown in FIG. 1, computing device 120 can generate an automatically generated declaration document 150 based on the determined declaration template and information set 130. For example, the computing device 120 can populate an item to be filled in the declaration template with one or more items of information in the set of information 130 to obtain a final declaration document.
In one example scenario, the computing device 120 may, for example, first provide the user with a declaration template populated with information in the information set. The user can further edit the declaration template to enable the computing device 120 to generate a final declaration document 150 from the user-edited declaration template.
In some implementations, the generated declaration document 150 may be delivered to, for example, a genetic resource management authority to complete the declaration. The specific process regarding the generation of the declaration document 150 will be described in detail below with reference to fig. 2 to 8.
A process for declaration about genetic resources according to an embodiment of the present disclosure will be described below with reference to fig. 2 to 8. Fig. 2 illustrates a flow diagram of a process 200 for declaration about genetic resources, in accordance with some embodiments of the present disclosure. Process 200 may be implemented, for example, by computing device 120 shown in FIG. 1, or by any other suitable electronic device.
As shown in FIG. 2, at block 202, in response to a claim request to perform targeted processing for a genetic resource, the computing device 120 determines a claim template corresponding to the claim request. The declaration template may include, for example, fixed content as well as content to be filled in (also referred to as "items to be filled in"). The declaration template may include one or more items to be filled in, and embodiments of the present disclosure do not have any limitation on the number of items to be filled in.
As discussed above, the computing device 120 can determine a declaration template in response to a declaration request received from a user. Alternatively, the computing device 120 can also automatically determine the declaration template in response to an indication generated by the computing device 120 or another computing device, without additional action by the user.
In some implementations, the declaration template may correspond to, for example, a declaration requirement of the genetic resource authority for that type of processing of the genetic resource. For example, the department of science and technology in china issues different declaration requirements corresponding to different treatments for genetic resources, such as "international cooperative scientific research approval administrative approval guide for genetic resources in china" and "collection approval administrative approval guide for genetic resources in china" service guide for genetic resources in china.
In some implementations, the declaration template can be determined based on a declaration requirement corresponding to the declaration request. For example, the computing device 120 can extract the approved application portion of the claim and convert it to a claim template corresponding to the claim.
In some implementations, the declaration template may also be determined from a plurality of predefined candidate templates. As described with reference to fig. 1, the computing device 120 can determine a declaration template corresponding to the declaration request from among the plurality of candidate templates 110. In some implementations, the plurality of candidate templates may be determined based on declaration requirements issued by the genetic resource authority corresponding to different types of processing for the genetic resource. For example, the computing device 120 can convert different declaration requirements issued by the genetic resource administrator into corresponding candidate templates, and the computing device 120 can determine a declaration template from among the plurality of candidate templates 110 based on the type of genetic resource process to which the declaration request corresponds.
As described above, the declaration template may include fixed content and one or more items to be filled in. FIG. 3 illustrates a schematic diagram of an example declaration template 300, in accordance with an embodiment of the present disclosure.
As shown in FIG. 3, the declaration template 300 may include fixed content 320 and a plurality of items to be filled in 310-1 through 310-5 (individually or collectively referred to as items to be filled in 310).
The fixed content 320 may include, for example, text or a form describing the item to be filled in. For example, the fixed content "item number" is a text for describing filling information required for the item to be filled 310-1. In some implementations, the fixed content 320 will be converted directly into the final declaration document 150.
As shown in fig. 3, the item to be filled in 310 may be a part of the information required to be filled in the declaration template and used for describing the declaration request. For example, the item to be filled out 310 may include an option to be checked, text to be input, or content to be uploaded, and the like. .
It should be understood that the declaration template 300 is shown in fig. 3 in a form visible to the user for convenience of description only. In some other implementations, the declaration template 300 may also be embodied as a piece of descriptive code without a corresponding graphical visualization. Further, it should be understood that the content filled in the terms 310 to be filled in the declaration template 300 shown in fig. 3 is merely illustrative, and that one or more terms 310 to be filled in the declaration template 300 presented to the user may be blank.
With continued reference to FIG. 2, at block 204, the computing device 120 generates reference content for the item to be filled based on the set of information 130 associated with the declaration request and the content acquisition policy corresponding to the item to be filled, where the set of information 130 includes information about attributes associated with the target process.
In some implementations, a corresponding content acquisition policy may be configured for the to-be-filled item in the declaration template. Such content acquisition policies may be stored, for example, in association with corresponding candidate templates.
In some implementations, the content acquisition policy may indicate a content template corresponding to the item to be filled, where the content template includes a fixed portion and a replaceable portion. Taking fig. 3 as an example, the content template corresponding to the item to be filled in 310-5 may be represented as: the "{ project number } study is a { project title } initiated by company a, and will recruit { number of patients } patients in approximately { number of countries }. "
In the example of the content template, { item number }, { item title }, { country number }, and { patient number }, etc., represent the replaceable parts in the content template, with the remaining text parts being fixed parts. It should be understood that such content templates are merely illustrative in form and are not intended as limitations on the present disclosure.
In some implementations, alternative portions of the content template may be configured with corresponding content acquisition pathways. Illustratively, the content acquisition pathway corresponding to the replaceable part { item number } instructs, for example, the computing device 120 to acquire the content to be filled in the item 310-1 to be filled as the content of the replaceable part.
As another example, the content acquisition pathway corresponding to the replaceable portion { item title } may, for example, instruct the computing device 120 to acquire the corresponding content from the information set 130. FIG. 4 illustrates an example information set 400 in accordance with an embodiment of the present disclosure.
As shown in FIG. 4, information set 400 may include, for example, a plurality of entries 450, 460, and 470 organized in different fields (attributes 410, content 420, files 430, pages 440, etc.). Each entry may correspond to, for example, an attribute associated with a target treatment of the genetic resource. For example, entry 450 may correspond to the attribute "protocol number", entry 460 to the attribute "title", entry 470 to the "clinical trial type", and so on.
Accordingly, the value corresponding to each field in the information set 130 may include the content associated with the attribute. For example, the content corresponding to the field "content" 420 in the entry 450 indicates that the information on the attribute "scheme number" is "X0001". In addition, the values of file 430 and page number 440 may represent the source of content 420. It should be understood that although examples of values in information set 400 are all in text format, other types of values are possible, including but not limited to: pictures, tables, video or audio, etc.
Further, when the value is NULL (or NULL), it indicates that information on the attribute is not included in the information set. For example, information about the attribute "clinical trial type" is not included in the information set 400.
In some implementations, the set of information 130 can include shared information, where the shared information is common to multiple claim requests or multiple items containing multiple claim requests. Such shared information may illustratively be some general information, for example. For example, such a set of information can include various items of information of a single application subject, e.g., names, addresses, and trademarks can be multiplexed by different claim requests or different items, such as when the set of information 130 is different genetic resource claims for the subject application.
In some implementations, the set of information 130 can also include specific information, where the specific information is specific to the claim request or to the item to which the claim request pertains. Such specific information may include, for example, the particular partner for which the request is being submitted, the project number, the project title, and the type of clinical trial, among others. Different claim requests or different claim request groups may have different specific information.
A schematic diagram of an example process 204 for generating reference content according to information sets and content acquisition pathways is described below with reference to fig. 5. As shown in fig. 5, at block 502, the computing device 120 may look up the target information in the information set 130 that corresponds to the alternative portion.
The study is a project title initiated by company a with a content template "{ project number } that will recruit { patient number } patients in approximately { country number } countries. "As an example, the computing device 120 can look up the target information corresponding to the alternative portion { item title } from the information set 130 (e.g., the example information set 400). Specifically, the computing device 120 looks up, for example, in the information set, whether there is an entry that takes the value of the attribute 410 as a "title" and whether the content field in the entry is empty.
At block 504, the computing device 120 may determine whether the target information is included in the set of information 130. If it is determined that the target information is included in the set of information 130, the process 204 may proceed to block 506. At block 506, the computing device 120 may generate reference content based on the fixed portion and the target information.
Continuing with the previous example, the computing device 120 may determine, for example, in the information set 400 that there is an entry 460 of the attribute 410 that takes on the value "title" and that the content field in the entry 460 does not take on the value null. Accordingly, the computing device 120 may, for example, replace the replaceable portion { item title } in the content template with the value in the content field, thereby generating the reference content:
the "{ project number } study was a study initiated by company AMulti-center, random and dosage for evaluating safety of B medicament Exploration phase II studyA number of patients will be enrolled in approximately a number of countries. "
Further, as discussed above, the computing device 120 may also replace the replaceable part { item number } in the content template with the content filled in the field to be filled in 310-1, for example, thereby generating the reference content 340:
19766the study was initiated by company AMulticenter, random and dosage exploration for evaluating B medicament safety Phase II studyA number of patients will be enrolled in approximately a number of countries. "
With continued reference to fig. 5, if it is determined at block 504 that the target information is not included in the set of information 130, the process 204 may proceed to block 508. At block 508, the computing device 120 may generate reference content based on the fixed portion.
As an example of the replaceable part { country number } in the example content template mentioned above, if the computing device 120 determines that an entry corresponding to the attribute "country number" is not included in the information set 400, or that the content field in the corresponding entry is empty, the computing device 120 may determine that content for replacing the replaceable part { country number } cannot be obtained from the information set 400.
In some embodiments, the computing device 120 may present text corresponding to the replaceable portion, for example, in the generated reference text to indicate that the computing device 120 failed to automatically fill in the replaceable portion, requiring the user to manually make the revision.
Illustratively, in the case where the replaceable parts { country number } and { patient number } are not automatically filled in, the auxiliary content 340 may be represented as: "19766The study was initiated by company AA multicenter for evaluating the safety of the B medicament, Randomized, dose exploratory phase II studyWill be in the order of{ number of countries }Individual country recruitment{ number of patients }Patients were treated. "in this auxiliary content 340, text in underlining and parentheses is provided to indicateThe user modifies the text as desired.
In some implementations, the content templates discussed above can be generated based on historical declaration documents for historical declaration requests that perform the same type of processing as the target processing for the genetic resource.
Illustratively, the computing device 120 may obtain a plurality of history declaration documents, which may be associated with the same type of genetic resource processing. Subsequently, the computing device 120 can determine a content template corresponding to the item to be filled out based on the content corresponding to the item to be filled out in the history declaration documents, for example.
Illustratively, the computing device 120 may generate a content template, for example, by extracting corresponding text patterns based on corresponding content in a plurality of history declaration documents. It should be appreciated that the computing device 120 may employ any suitable technique (including but not limited to rule extraction, machine learning, etc.) to generate a content template based on a plurality of history declaration documents, and the disclosure is not intended to be limited thereto. It should be understood that the generation of the content template may also be performed by a different other device than computing device 120.
In some implementations, rather than indicating a content template associated with the item to be filled in, the content acquisition policy may also indicate a target attribute corresponding to the item to be filled in. Continuing with the example of FIG. 3, the content retrieval policy corresponding to the to-be-filled item 310-4 may indicate that information corresponding to the target attribute "schema number" is retrieved from the information set 130.
Accordingly, the computing device 120 may obtain, from the information set 400, information corresponding to the target attribute "schema number" as "X0001" in accordance with the content acquisition policy. Subsequently, computing device 120 may generate corresponding reference content 330 based on "X0001".
It should be understood that although the generation of the reference content is described above in text as an example, the reference content may include content in any suitable format, corresponding to the format of the information corresponding to the information set: text, pictures, tables, video or audio, etc.
With continued reference to FIG. 2, at block 206, the computing device 120 generates a declaration document 150 for the declaration request based on the reference content.
In some implementations, computing device 120 can automatically utilize the reference content to generate a declaration document 150. In particular, the computing device 120 can populate the reference content into the terms to be filled in the declaration template and generate the declaration document 150 based on the populated declaration template.
Illustratively, computing device 120 may, for example, populate reference content 330 to fill-in item 310-4 and reference content 340 to fill-in item 310-5 to obtain declaration document 150. It should be understood that the computing device 120 can provide the declaration document 150 to the user and indicate that at least a portion of the information in the declaration document 150 needs to be revised.
In other implementations, computing device 120 may also provide the reference content to the user and generate a declaration document 150 based on an update or confirmation by the user based on the reference content. An example process of generating a device document according to some implementations of the present disclosure will be described below with reference to fig. 6.
As shown in fig. 6, at block 602, computing device 120 may provide reference content in association with a to-be-filled item.
In some implementations, the computing device 120 can, for example, present the declaration template to the user and automatically populate the generated reference content in the to-be-filled item. Taking fig. 3 as an example, computing device 120 may automatically fill reference content 330 into to-be-filled item 310-4 and reference content 340 into to-be-filled item 310-5. In still other implementations, the computing device 120 may also provide reference content outside of the item to be filled in as a reference for the user to fill in the item to be filled in. Based on the mode, effective reference can be provided for the user to input the item to be filled, so that the burden of the user is relieved, and the user is assisted to finish high-quality declaration.
In some implementations, the computing device 120 may also provide the auxiliary content in association with the reference content, where the auxiliary content is generated based on review results from the genetic resource management authority. Such review results may be associated with, for example, history declaration documents for history declaration requests. These history declaration requests may be used to apply to the genetic resource management authority for processes that are of the same type as the target processes to be performed for the genetic resource. For example, these history declaration requests may likewise be requests for acquisition of genetic resources.
Illustratively, the computing device 120 may obtain review results of the genetic resource administrator for historical declaration documents generated using the same declaration template and determine auxiliary content based on portions of the review results corresponding to the items to be filled. For example, such auxiliary content may indicate a possible deficiency in content or format of the reference content that is automatically filled in or the content filled in by the user. By the method, the user can be helped to effectively know the possible defects of the reference content, so that the user can overcome the defects in advance and the passing rate of the declaration document is improved.
With continued reference to fig. 6, at block 604, the computing device 120 may receive updated content for the item to be filled, wherein the updated content is generated based on the reference content. For an example in which the computing device 120 fills the reference content into the item to be filled, the computing device 120 may, for example, receive a user revision to the content filled in the item to be filled and determine the revised content as the updated content. Examples of such revisions include, but are not limited to: inputting new content, deleting existing content, adjusting the presentation of content, or modifying the format of content, etc.
For an example in which the computing device 120 provides the reference content outside the to-be-filled item, the computing device 120 may receive, as the update content, content entered by the user in the to-be-filled item based on the reference content.
At block 606, the computing device 120 can generate a declaration document 150 using the declaration template and the updated content. In particular, the computing device 120 can populate the updated content to the terms to be filled in the declaration template and generate the declaration document 150 based on the populated declaration template.
In some implementations, these updated contents may also be used to optimize the content acquisition policy associated with the item to be filled. For example, the computing device 120 may modify the fixed portion of the content template based on a user's pruning or adjustment of the reference content. It should be appreciated that the computing device 120 may optimize the content retrieval policy based on the updated content, such as through machine learning or rule-based adjustments.
In some implementations, prior to generating the declaration document 150, the computing device 120 can also automatically verify the filled-in content based on the associations between different items to be filled in the declaration template. For example, computing device 120 may determine whether information about the same attribute is consistent, logical, or otherwise reasonable among different items to be filled. In some implementations, the computing device 120 can, in the event that the information is determined to be inconsistent, suspend generation of the declaration document 150 and provide a reminder to the user that the particular item to be filled in needs to be modified.
Based on the above-discussed method, the embodiment of the present disclosure may automatically acquire information to be filled in the declaration template corresponding to the declaration request, and further automatically complete generation of the declaration document. This, in turn, can greatly improve the efficiency of generating the declaration documents, reducing the labor cost and time cost that the declaration parties (e.g., scientific research institutions, higher schools, medical institutions/enterprises) need to spend. In addition, the method can also avoid errors possibly caused in the manual filling process, so that the probability of passing the audit of the declaration document is improved.
In some implementations, the computing device 120 can also adjust the content acquisition policy based on the results of the review of the declaration document 150 by the genetic resource administrator. Specifically, when the declaration document 150 fails to pass the audit due to some defects, the computing device 120 may, for example, obtain the audit result of the genetic resource management authority on the declaration document 150, and adjust the content obtaining policy based on the part of the audit result associated with the item to be filled, so as to meet the requirement of the continuous refinement of the genetic resource management of china.
For example, if the result of the review indicates that the declared document 150 is due to a lack of content related to "project basis" in the project summary, the declared document 150 fails the review. At this time, the computing device 120 may adjust a content acquisition policy corresponding to the item to be filled (e.g., the item to be filled 310-5 in fig. 3) corresponding to the project summary according to the review result. For example, the computing device 120 may adjust the content template indicated by the content acquisition policy to add content related to "item basis". Based on the mode, the embodiment of the disclosure can also dynamically optimize the content acquisition strategy based on the auditing result, so that the auditing passing probability of the declaration document is improved.
The creation process of the information set will be described below with reference to fig. 7 to 8. FIG. 7 shows a schematic diagram of an example process 700 of creating an information set, according to an embodiment of the disclosure. As shown in FIG. 7, at block 702, the computing device 120 can obtain a source file associated with a claim request. In some implementations, the computing device 120 can provide an interface to upload source files for the claim request or a user under the project to which the claim request pertains. Such source files may be used to apply for clinical research protocols, legal materials, ethical review lots, etc. needed for targeted processing of genetic resources. It should be understood that different types of genetic resource processing may require different types of source files.
FIG. 8 shows a schematic diagram of an example source file 800, according to an embodiment of the present disclosure. The source file 800 is, for example, a clinical study protocol required for submission of a claim. In some implementations, the source file 800 may comprise a file of a different format. In some examples, the source file 800 may be, for example, a text format file uploaded by a user, such as a Word format file. In other examples, the source file 800 may comprise a PDF formatted file, for example. In some examples, the source file 800 may include, for example, a file in a picture format, or the like.
In some implementations, upon receiving the source files, the computing device 120 can assign corresponding identifications to the source files to indicate the content to which the source files correspond. For example, computing device 120 may assign a FILE name "FILE 1" to clinical study protocol 800.
Alternatively or additionally, the user may also add descriptions about the source files when uploading these source files. Such a description may indicate, for example, what the source file corresponds to, and be used as an identification corresponding to the source file. For example, the user may add the description "FILE 1" when uploading the clinical study protocol 800. Alternatively, the user may also select the description of the source file as "clinical study plan" from a plurality of options when uploading the clinical study plan, to enable the computing device 120 to automatically determine the corresponding identification based on the description.
With continued reference to FIG. 7, at block 704, the computing device 120 may determine information from the source file regarding attributes associated with the target process. In some implementations, the computing device 120 also maintains a correspondence between particular attributes and the source files. For example, the computing device 120 may determine through the correspondence that information corresponding to the attributes "protocol number" and "title" should be obtained from a source FILE (e.g., clinical study protocol) identified as "FILE 1".
In some implementations, the computing device 120 can determine, from the uploaded plurality of source files, a source file corresponding to the attributes based on the correspondence. After determining the corresponding source file, computing device 120 can utilize an appropriate method to obtain information about the property from the source file.
Illustratively, for the example where the uploaded source file is in text format, the computing device 120 can obtain information about a particular attribute, for example, by text matching based on regular expressions. For example, the computing device 120 may number: (.: "and the ending word" 1.
For the example of FIG. 8, computing device 120 can determine, for example, a portion 810 from source file 800 that matches the regular expression and determine, based on the portion 810, that the information about the attribute "schema number" is "X0001".
It should be appreciated that the computing device 120 may also obtain information about particular attributes from the source file, for example, by machine learning or knowledge mapping in any suitable manner. For example, computing device 120 may construct a knowledge graph based on a majority 820 of source files 800 to indicate a relationship between "study plan title" and "one evaluation B drug safety multicenter, randomized, dose exploration phase II study" and determine information about the attribute "title" as "one evaluation B drug safety multicenter, randomized, dose exploration phase II study" based on the relationship.
In other examples, the source file uploaded by the user may be in a non-text format. In some implementations, the computing device 120 may first convert these non-text formats to text formats and then obtain information about the particular attributes based on a similar approach.
In other implementations, the computing device 120 may also directly determine a portion of the source file in a non-text format as information about a particular attribute without text conversion, for example. Illustratively, the computing device 120 determines, for example, a partial picture of the uploaded picture-formatted source file (e.g., a company license) as information about the attribute "company trademark".
It should be appreciated that the manner in which information about particular attributes is obtained from the source file above is merely exemplary, and that any other suitable manner of obtaining such information may also be employed. Further, such information may include any suitable type, such as text format, picture format, table format, and the like.
At block 706, the computing device 120 may store the determined information in an information set. In some examples, the computing device 120 can store the determined information from the source file, for example, into the information set as a value for a "content" field in an entry corresponding to the particular attribute.
In this way, embodiments of the present disclosure can automatically organize content from different source files into information that is usable to generate a declaration document, thereby greatly improving the efficiency of generating declaration documents.
In some implementations, in an example of providing reference content to a user, the computing device 120 can also provide at least a portion of the target source file in association with the reference content if the reference content includes information determined from the target source file. For example, the computing device 120 can provide a preview of the target source file near the location of the reference content.
For example, taking fig. 3 as an example, when the auxiliary content 340 includes, for example, information determined from the source file 800, the computing device 120 can, for example, present a corresponding portion of the source file 800 in comparison to the reference content. For example, the computing device 120 can display a first page of the source file 800 based on location information (e.g., values of fields (page number 440)) of the source file 800 used to add an entry in the information set 400 corresponding to the attribute "title".
By providing the reference content and the target source file in an associated manner, the user can be helped to check whether the information automatically filled into the reference content is consistent with the target source file, so that errors possibly generated in the automatic information grabbing process can be avoided.
Embodiments of the present disclosure also provide corresponding apparatus of the methods and/or processes discussed with reference to fig. 2-8. Fig. 9 illustrates a schematic block diagram of an apparatus 900 for declaration about genetic resources, in accordance with some embodiments of the present disclosure.
As shown in fig. 9, the apparatus 900 may include: a declaration template determination module 910 configured to determine, in response to a declaration request to perform a target process for a genetic resource, a declaration template corresponding to the declaration request, wherein the declaration template includes items to be filled in. The apparatus 900 further includes a reference content generation module 920 configured to generate reference content for the item to be filled based on an information set associated with the declaration request and a content acquisition policy corresponding to the item to be filled, the information set including information about attributes associated with the target process. Moreover, the apparatus 900 further includes a declaration document generation module 930 configured to generate a declaration document for the declaration request based on the reference content.
In some implementations, the content acquisition policy indicates a content template corresponding to the item to be filled in, and the content template includes a fixed portion and a replaceable portion. Further, the reference content generating module includes 920: a search module configured to search the set of information for target information corresponding to the replaceable portion; and a first generation module configured to generate the reference content based on the fixed portion and the target information if the target information is included in the set of information.
In some implementations, the reference content generation module 920 further includes: a second generation module configured to generate the reference content based on the fixed portion if the target information is not included in the set of information.
In some implementations, the content template is generated based on a history declaration document for a history declaration request that performs the same type of processing as the target processing for the genetic resource.
In some implementations, the content acquisition policy indicates target attributes corresponding to the to-be-filled item, and wherein the reference content generation module 920 includes: an information acquisition module configured to acquire information corresponding to the target attribute from the information set; and a third generation module configured to generate the reference content based on the acquired information.
In some implementations, the declaration document generating module 930 includes: a filling module configured to fill the reference content into the item to be filled in the declaration template; and a fourth generation module configured to generate a declaration document based on the populated declaration template.
In some implementations, the declaring documents module 930 includes: a first providing module configured to provide the reference content in association with the item to be filled; a receiving module configured to receive update content for the item to be filled, the update content being generated based on the reference content; and a fifth generation module configured to generate a declaration document using the declaration template and the updated content.
In some implementations, the apparatus 900 further includes: a second providing module configured to provide auxiliary content in association with the reference content, the auxiliary content being generated based on a result of review of a history declaration document by the genetic resource management institution for a history declaration request that performs a process of the same type as the target process for the genetic resource.
In some implementations, the set of information includes at least: shared information common to a plurality of declaration requests or a plurality of items including a plurality of declaration requests, or specific information specific to the declaration request or to an item to which the declaration request belongs.
In some implementations, the apparatus 900 further includes: a source file acquisition module configured to acquire a source file associated with the declaration request; an information determination module configured to determine information about attributes associated with a target process from a source file; and an information storage module configured to store the determined information in an information set.
In some implementations, the apparatus 900 further includes: a third providing module configured to provide at least a portion of the target source file in association with the reference content if the determined information is included in the reference content.
In some implementations, the apparatus 900 further includes: the result acquisition module is configured to acquire an audit result of the genetic resource management mechanism about the declaration document; and an adjusting module configured to adjust the content acquisition policy based on a portion of the audit result associated with the item to be filled.
In some implementations, the target processing includes at least one of: collecting genetic resources, preserving the genetic resources, utilizing the genetic resources, and providing the genetic resources to the outside.
In some implementations, the declaration template determination module 910 includes: a template selection module configured to determine a declaration template corresponding to the declaration request from among a plurality of candidate templates determined based on declaration requirements corresponding to different types of processing for the genetic resource issued by the genetic resource management institution.
Fig. 10 illustrates a block diagram of a computing device/server 1000 in which one or more embodiments of the disclosure may be implemented. It should be understood that the computing device/server 1000 illustrated in fig. 10 is merely exemplary and should not constitute any limitation as to the functionality and scope of the embodiments described herein.
As shown in fig. 10, computing device/server 1000 is in the form of a general purpose computing device. The components of computing device/server 1000 may include, but are not limited to, one or more processors or processing units 1010, memory 1020, storage 1030, one or more communication units 1040, one or more input devices 1050, and one or more output devices 1060. The processing unit 1010 may be a real or virtual processor and can perform various processes according to programs stored in the memory 1020. In a multiprocessor system, multiple processing units execute computer-executable instructions in parallel to improve the parallel processing capability of computing device/server 1000.
Computing device/server 1000 typically includes a number of computer storage media. Such media may be any available media that is accessible by computing device/server 1000 and includes, but is not limited to, volatile and non-volatile media, removable and non-removable media. Memory 720 may be volatile memory (e.g., registers, cache, Random Access Memory (RAM)), non-volatile memory (e.g., Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory), or some combination thereof. Storage 730 may be a removable or non-removable medium and may include a machine-readable medium, such as a flash drive, a magnetic disk, or any other medium, which may be capable of being used to store information and/or data (e.g., training data for training) and which may be accessed within computing device/server 1000.
Computing device/server 1000 may further include additional removable/non-removable, volatile/nonvolatile storage media. Although not shown in FIG. 10, a magnetic disk drive for reading from and writing to a removable, non-volatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, non-volatile optical disk may be provided. In these cases, each drive may be connected to a bus (not shown) by one or more data media interfaces. Memory 1020 may include a computer program product 1025 having one or more program modules configured to perform the various methods or acts of the various embodiments of the present disclosure.
The communication unit 1040 enables communication with other computing devices over a communication medium. Additionally, the functionality of the components of computing device/server 1000 may be implemented in a single computing cluster or multiple computing machines capable of communicating over a communications connection. Thus, computing device/server 1000 may operate in a networked environment using logical connections to one or more other servers, network Personal Computers (PCs), or another network node.
Input device 1050 may be one or more input devices such as a mouse, keyboard, trackball, or the like. Output device 1060 may be one or more output devices such as a display, speakers, printer, or the like. Computing device/server 1000 may also communicate with one or more external devices (not shown), such as storage devices, display devices, etc., as desired through communication unit 1040, with one or more devices that enable a user to interact with computing device/server 1000, or with any device (e.g., network card, modem, etc.) that enables computing device/server 1000 to communicate with one or more other computing devices. Such communication may be performed via input/output (I/O) interfaces (not shown).
According to an exemplary implementation of the present disclosure, a computer-readable storage medium is provided, on which one or more computer instructions are stored, wherein the one or more computer instructions are executed by a processor to implement the above-described method.
Various aspects of the present disclosure are described herein in terms of flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products implemented in accordance with the present disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various implementations of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing has described implementations of the present disclosure, and the above description is illustrative, not exhaustive, and not limited to the implementations disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described implementations. The terminology used herein was chosen in order to best explain the principles of implementations, the practical application, or improvements to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the implementations disclosed herein.

Claims (30)

1. A method for genetic resource-related declaration, comprising:
in response to a declaration request for performing a target process for a genetic resource, determining a declaration template corresponding to the declaration request, the declaration template including an item to be filled in;
generating reference content for the item to be filled in based on an information set associated with the declaration request and a content acquisition policy corresponding to the item to be filled in, the information set including information about attributes associated with the target process; and
generating a declaration document for the declaration request based on the reference content.
2. The method of claim 1, wherein the content acquisition policy indicates a content template corresponding to the item to be filled, the content template including a fixed portion and a replaceable portion, and wherein generating the reference content comprises:
searching for target information corresponding to the replaceable part in the information set; and
generating the reference content based on the fixed portion and the target information if the target information is included in the set of information.
3. The method of claim 2, wherein generating the reference content further comprises:
generating the reference content based on the fixed portion if the target information is not included in the set of information.
4. The method of claim 2, wherein the content template is generated based on a history declaration document for a history declaration request that performs a same type of processing as the target processing for a genetic resource.
5. The method of claim 1, wherein the content acquisition policy indicates target attributes corresponding to the item to be filled in, and wherein generating the reference content comprises:
acquiring information corresponding to the target attribute from the information set; and
generating the reference content based on the acquired information.
6. The method of claim 1, wherein generating the declaration document comprises:
filling the reference content into the item to be filled in the declaration template; and
generating the declaration document based on the populated declaration template.
7. The method of claim 1, wherein generating the declaration document comprises:
providing the reference content in association with the item to be filled;
receiving updated content for the item to be filled, the updated content being generated based on the reference content; and
generating the declaration document using the declaration template and the updated content.
8. The method of claim 7, further comprising:
providing auxiliary content in association with the reference content, the auxiliary content being generated based on a result of review by a genetic resource management agency of a history declaration document for a history declaration request that performs a process of the same type as the target process for a genetic resource.
9. The method of claim 1, wherein the set of information comprises at least:
shared information common to a plurality of declaration requests or a plurality of items including a plurality of declaration requests, or
Specific information specific to the claim request or to an item to which the claim request belongs.
10. The method of claim 1, further comprising:
obtaining a source file associated with the declaration request;
determining information from the source file about attributes associated with the target process; and
storing the determined information in the information set.
11. The method of claim 10, further comprising:
providing at least part of the target source file in association with the reference content if the determined information is included in the reference content.
12. The method of claim 1, further comprising:
acquiring an audit result of a genetic resource management organization about the declaration document; and
adjusting the content acquisition policy based on a portion of the review result associated with the item to be filled.
13. The method of claim 1, wherein the target process comprises at least one of:
collecting the genetic resources of the plant,
the genetic resources are preserved, and the genetic resources are preserved,
utilizing the genetic resources, and
providing said genetic resource externally.
14. The method of claim 1, wherein determining a declaration template corresponding to the declaration request comprises:
a reporting template corresponding to the reporting request is determined from a plurality of candidate templates determined based on reporting requirements issued by a genetic resource management organization and corresponding to different types of processes for genetic resources.
15. An apparatus for genetic resource-related declaration, comprising:
a declaration template determination module configured to determine, in response to a declaration request for performing a target process for a genetic resource, a declaration template corresponding to the declaration request, the declaration template including an item to be filled in;
a reference content generation module configured to generate reference content for the item to be filled out based on an information set associated with the declaration request and a content acquisition policy corresponding to the item to be filled out, the information set including information about an attribute associated with the target process; and
a declaration document generating module configured to generate a declaration document for the declaration request based on the reference content.
16. The apparatus of claim 15, wherein the content acquisition policy indicates a content template corresponding to the item to be filled, the content template including a fixed portion and a replaceable portion, and wherein the reference content generation module comprises:
a search module configured to search the set of information for target information corresponding to the replaceable part; and
a first generation module configured to generate the reference content based on the fixed portion and the target information if the target information is included in the set of information.
17. The apparatus of claim 16, wherein the reference content generation module further comprises:
a second generation module configured to generate the reference content based on the fixed portion if the target information is not included in the set of information.
18. The apparatus of claim 16, wherein the content template is generated based on a history declaration document for a history declaration request that performs a same type of processing as the target processing for a genetic resource.
19. The apparatus of claim 15, wherein the content acquisition policy indicates target attributes corresponding to the item to be filled, and wherein the reference content generation module comprises:
an information acquisition module configured to acquire information corresponding to the target attribute from the set of information; and
a third generation module configured to generate the reference content based on the obtained information.
20. The apparatus of claim 15, wherein the declaration document generation module comprises:
a population module configured to populate the reference content into the entry to be populated in the declaration template; and
a fourth generation module configured to generate the declaration document based on the populated declaration template.
21. The apparatus of claim 15, wherein the declaring documents module comprises:
a first providing module configured to provide the reference content in association with the item to be filled;
a receiving module configured to receive update content for the item to be filled, the update content being generated based on the reference content; and
a fifth generation module configured to generate the declaration document using the declaration template and the updated content.
22. The apparatus of claim 21, further comprising:
a second providing module configured to provide auxiliary content in association with the reference content, the auxiliary content being generated based on an audit result of a genetic resource management organization for a history declaration document for a history declaration request that performs a process of a same type as the target process for a genetic resource.
23. The apparatus of claim 15, wherein the set of information comprises at least:
shared information common to a plurality of declaration requests or a plurality of items including a plurality of declaration requests, or
Specific information specific to the claim request or to an item to which the claim request belongs.
24. The apparatus of claim 15, further comprising:
a source file acquisition module configured to acquire a source file associated with the declaration request;
an information determination module configured to determine information about attributes associated with the target process from the source file; and
an information storage module configured to store the determined information in the set of information.
25. The apparatus of claim 24, further comprising:
a third providing module configured to provide at least part of the target source file in association with the reference content if the determined information is included in the reference content.
26. The apparatus of claim 15, further comprising:
a result obtaining module configured to obtain an audit result of a genetic resource management organization on the declaration document; and
an adjustment module configured to adjust the content acquisition policy based on a portion of the review result associated with the item to be filled.
27. The apparatus of claim 15, wherein the target process comprises at least one of:
collecting the genetic resources of the plant,
the genetic resources are preserved, and the genetic resources are preserved,
utilizing the genetic resources, and
providing said genetic resource externally.
28. The apparatus of claim 15, wherein the declaration template determination module comprises:
a template selection module configured to determine a declaration template corresponding to the declaration request from among a plurality of candidate templates determined based on declaration requirements issued by a genetic resource management agency corresponding to different types of processing for genetic resources.
29. An electronic device, comprising:
a memory and a processor;
wherein the memory is to store one or more computer instructions, wherein the one or more computer instructions are to be executed by the processor to implement the method of any one of claims 1 to 14.
30. A computer readable storage medium having one or more computer instructions stored thereon, wherein the one or more computer instructions are executed by a processor to implement the method of any one of claims 1 to 14.
CN202011111739.1A 2020-10-16 2020-10-16 Method, apparatus, device and medium for genetic resource related declaration Pending CN112232769A (en)

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