CN117725119A - Multi-center cross-platform mass data exchange and sharing method and system - Google Patents
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Abstract
The invention provides a multi-center cross-platform mass data exchange and sharing method and a system, which can determine the corresponding target quantity according to the data exchange grade of a data exchange request, send the data exchange request to the preferential node of the corresponding target quantity, and the user terminal can acquire data information from a plurality of data analysis nodes only by sending the data exchange request once and select the corresponding data analysis node according to the selected matching value, thereby improving the data exchange efficiency; and meanwhile, the data query times and time are reduced, and the data exchange delay is reduced.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a multi-center cross-platform mass data exchange and sharing method and system.
Background
With the development of computer technology, information technology and internet technology and the demands of scientific research tasks, the current data volume is gradually increased, and the exchange sharing and updating of data are also more frequent. The need for primary data exchange as a core of the value chain is increasing. However, the current application mostly adopts distributed storage, so that the data transmission efficiency is low, and the data query efficiency is reduced. In order to meet the above requirements, providing a mass data exchange and sharing scheme for improving data exchange efficiency is a problem to be solved.
Disclosure of Invention
The invention aims to provide a multi-center cross-platform mass data exchange and sharing method and system for overcoming the problems or at least partially solving the problems, and aims to perform master-slave mass data exchange and sharing by taking a real world data platform as a center so as to help improve the data exchange efficiency.
In order to achieve the above purpose, the technical scheme of the invention is specifically realized as follows:
one aspect of the present invention provides a multi-center cross-platform mass data exchange and sharing method, comprising:
the user terminal logs in the real world data platform through the user ID and performs identity authentication through the user personal key;
after the identity authentication of the user terminal passes, the user terminal accesses the data exchange sharing platform and sends a data exchange request or a data sharing request to the background controller;
the background controller sends the data exchange request or the data sharing request to a target data node according to a preset exchange rule;
the target data node which receives the data exchange request or the data sharing request is marked as an application node, a data slice is obtained from an analysis node of each data in the application node according to a data exchange rule, the repeated analysis is carried out on all objects in the obtained data slice, repeated data are removed, and the first n objects are selected and fed back to the user terminal, wherein n is the data exchange number applied by the user.
Before the user terminal logs in the real world data platform through the user ID and performs identity authentication through the user personal key, the method further comprises the following steps:
the user terminal obtains the unique user ID and the user personal key generated by the real world data platform.
Wherein the data exchange request or the data sharing request includes: a data exchange level or a data sharing level, the user ID, a data attribute identification and the user application exchange data quantity.
The step of the background controller sending the data exchange request or the data sharing request to a target data node according to a preset exchange rule includes:
and the background controller determines the data exchange request of the user according to the data exchange grade or the data sharing grade, and sends the data exchange request or the data sharing request to a preferred node corresponding to the data exchange request of the user.
Wherein the feeding back the first n selected objects to the user terminal includes:
if n is less than or equal to the database data quantity, the first n objects are selected and fed back to the user terminal;
if n > database data amount, returning all data in the database and prompting the shortage of the data.
Wherein the obtaining the data slice from the analysis node of each data in the application node according to the data exchange rule includes:
each center determines a score for each piece of data;
the total center calculates the contribution degree of each piece of data according to the score of the data;
the total center scores the data with the data score being larger than or equal to the preset score, and the total data number calculation formula which is required to be opened is calculated through the following formula:
wherein N is the number of data to be opened, a is the weight of the rendezvous database, and x i Scoring each piece of data corresponding to data, y i Corresponding data quantity for each score, wherein y is the preset score and the data quantity above;
and if the total number of the data to be opened obtained by calculation is insufficient to complete the number of the data to be opened of the protocol, the total center acquires the data slice after data complementation.
Another aspect of the present invention provides a multi-center cross-platform mass data exchange and sharing system, comprising:
the user terminal is used for logging in the real world data platform through the user ID and carrying out identity authentication through the user personal key; after the identity authentication is passed, accessing a data exchange sharing platform, and sending a data exchange request or a data sharing request to a background controller;
the background controller is used for sending the data exchange request or the data sharing request to a target data node according to a preset exchange rule;
the target data node receiving the data exchange request or the data sharing request is marked as an application node, and is used for acquiring a data slice from an analysis node of each data in the application node according to a data exchange rule, performing check and repeat analysis on all objects in the acquired data slice, removing repeated data, and selecting the first n objects to feed back to the user terminal, wherein n is the data amount of the user application exchange.
The user terminal is further configured to obtain a unique user ID and the user personal key generated by the real world data platform before the user terminal logs in the real world data platform through the user ID and performs identity authentication through the user personal key.
Wherein the data exchange request or the data sharing request includes: a data exchange level or a data sharing level, the user ID, a data attribute identification and the user application exchange data quantity.
The background controller sends the data exchange request or the data sharing request to a target data node according to a preset exchange rule in the following manner:
and the background controller determines the data exchange request of the user according to the data exchange grade or the data sharing grade, and sends the data exchange request or the data sharing request to a preferred node corresponding to the data exchange request of the user.
The target data node receiving the data exchange request or the data sharing request selects the first n objects and feeds them back to the user terminal in the following manner:
if n is less than or equal to the database data quantity, the first n objects are selected and fed back to the user terminal;
if n > database data amount, returning all data in the database and prompting the shortage of the data.
Wherein the system further comprises various centers and a total center;
the background controller acquires data slices from analysis nodes of each data in the application nodes according to data exchange rules by the following modes:
each center is used for determining the score of each piece of data;
the total center is used for calculating the contribution degree of each piece of data according to the score of the data; and calculating the total number of data to be opened according to the following formula by using the data with the data score larger than or equal to the preset score:wherein N is the number of data to be opened, a is the weight of the rendezvous database, and x i Scoring each piece of data corresponding to data, y i Corresponding data quantity for each score, wherein y is the preset score and the data quantity above; if the total number of the data to be opened is not enough to finish the number of the data to be opened of the protocol, carrying out data complement;
the background controller obtains a data slice.
Therefore, by the multi-center cross-platform mass data exchange and sharing method and system provided by the invention, the corresponding target quantity can be determined according to the data exchange level of the data exchange request, the data exchange request is sent to the preferential node corresponding to the target quantity, the user terminal can only send the data exchange request once, so that the data information can be obtained from a plurality of data analysis nodes, and the corresponding data analysis nodes are selected according to the selected matching value, so that the data exchange efficiency is improved; and meanwhile, the data query times and time are reduced, and the data exchange delay is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a multi-center cross-platform mass data exchange and sharing method provided by an embodiment of the invention;
FIG. 2 is a specific flowchart of a multi-center cross-platform mass data exchange and sharing method according to an embodiment of the present invention;
FIG. 3 is a flow chart of protocol sharing data exchange according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a multi-center cross-platform mass data exchange and sharing system according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary 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.
Fig. 1 shows a flowchart of a multi-center cross-platform mass data exchange and sharing method provided by an embodiment of the present invention, fig. 2 shows a specific flowchart of a multi-center cross-platform mass data exchange and sharing method provided by an embodiment of the present invention, and referring to fig. 1 and fig. 2, the multi-center cross-platform mass data exchange and sharing method provided by an embodiment of the present invention includes:
s1, the user terminal logs in the real world data platform through the user ID, and performs identity authentication through the user personal key.
As an optional implementation manner of the embodiment of the invention, before the user terminal logs in the real world data platform through the user ID and performs identity authentication through the user personal key, the multi-center cross-platform mass data exchange and sharing method provided by the embodiment of the invention further comprises the following steps: the user terminal obtains a unique user ID and a user personal key generated by the real world data platform.
In the specific implementation, a user completes registration on a real world data platform, and an acquisition system automatically generates a unique user ID and a user personal key; the subsequent user logs in through the user ID and performs identity authentication through the user personal key before performing data exchange/sharing operation.
S2, after the identity authentication is passed, the user terminal accesses the data exchange sharing platform and sends a data exchange request or a data sharing request to the background controller.
As an alternative implementation of the embodiment of the present invention, the data exchange request or the data sharing request includes: data exchange level or data sharing level, user ID, data attribute identification, user application exchange data amount.
And S3, the background controller sends a data exchange request or a data sharing request to the target data node according to a preset exchange rule.
As an optional implementation manner of the embodiment of the present invention, the sending, by the background controller, the data exchange request or the data sharing request to the target data node according to the preset exchange rule includes: the background controller determines the data exchange amount of the user application according to the data exchange level or the data sharing level, and sends a data exchange request or a data sharing request to the preferred node corresponding to the data exchange amount of the user application.
In implementation, after the identity authentication is passed, the user may access the data exchange sharing platform, and send a data exchange/sharing request to the background controller through the user terminal, where the submitted request should include: data exchange/sharing level (defined by data exchange rules, such as good, medium, bad), user personal ID, data attribute identification, user application for exchanging data amount; the background controller sends the data exchange/sharing request to the target data node according to a preset exchange rule.
S4, marking a target data node which receives the data exchange request or the data sharing request as an application node, acquiring a data slice from an analysis node of each data in the application node according to the data exchange rule, performing check and repeat analysis on all objects in the acquired data slice, removing repeated data, and selecting the first n objects to feed back to the user terminal, wherein n is the data amount of the user application exchange.
As an optional implementation manner of the embodiment of the present invention, selecting the first n objects to feed back to the user terminal includes: if n is less than or equal to the database data quantity, the first n objects are selected and fed back to the user terminal; if n > database data amount, returning all data in the database and prompting the shortage of the data.
In particular, the accepted data exchange request will be marked as an application node, and the data slice is acquired from the analysis node of each data in the application node according to the data exchange rule. And (3) performing check and repeat analysis on all objects in the acquired data slice, removing repeated data, selecting the first n objects, feeding back to the user terminal, and n is the data amount of the user application exchange (if n is greater than the data amount of the database, returning all the data in the database and prompting the data shortage).
As an optional implementation manner provided by the embodiment of the present invention, obtaining, according to a data exchange rule, a data slice from an analysis node of each data in an application node includes: each center determines a score for each piece of data; the total center calculates the contribution degree of each piece of data according to the score of the data; the total center scores the data with the data score larger than or equal to the preset score, and the total data number calculation formula which should be opened is calculated according to the following formula:wherein N is the number of data to be opened, a is the weight of the rendezvous database, and x i Scoring each piece of data corresponding to data, y i Corresponding data quantity for each score, wherein y is preset score and the data quantity above; and if the total number of the data to be opened, which is calculated by the total center, is insufficient to complete the number of the data to be opened of the protocol, the total center complements the data and then acquires the data slice.
Specifically, the data exchange rules are as follows:
before the multi-center starts, the multi-center needs to sign data exchange protocol with the main center, and share data according to protocol requirements. By adopting the principle of contribution points, the data quantity of each center in suspension view of the total platform or other centers is applied for view according to the ranking of the contribution points, and the data quantity can be seen in table 1.
Table 1 contribution rank corresponds to total platform data rights
| Contribution ranking | Unlocking rights |
| First 10% | All of the total platform data may be used |
| Front 20% | 80% of the total platform data can be used |
| First 40% | 60% of the total platform data can be used |
| First 60% | 40% of the total platform data can be used |
| First 90% | 20% of the total platform data can be used |
| Front 100% | 10% of the total platform data can be used |
When the data slice is acquired from the analysis node of each data in the application node according to the data exchange rule, the specific protocol data exchange rule is as follows:
1. and the centers exchange the data shared by the selection protocols, and the data format standard uniformly formulated by the total center is required to be used, so that the data desensitization treatment is required to be carried out on the privacy of the patient.
2. When the system units cooperate across member units, if data exchange is needed, the data exchange can be referred, and the specific exchanged data quantity and quality are determined by self-negotiation of the relevant units. As particularly shown in fig. 3.
(1) And taking the data quality obtained by calculation of the total center standard as a basic unit, wherein the data base score is zero, and the score of each 1% of the data quality is increased by 1 score, namely, the score of each data is 80 when the data quality reaches 80%.
(2) The score of the data provided by the general center opening is more than 85 points, and the data with the score of less than 65 points is not counted in the exchange number calculation formula, and the contribution degree is not calculated.
(3) The system unit members develop the quartic member unit cooperation, and when data exchange is needed, the exchange data quantity and quality are self-negotiated by the relevant units.
(4) And (3) carrying out 1:1 data exchange on data with a score of 90 minutes and above, if the data score is less than 90 minutes, accumulating after 80 percent on the basis of the original data score, opening a data authority (the part which is less than 90 minutes is discarded) every 90 minutes, obtaining a result in the calculation mode, and multiplying the result by the weight of the database at the time to obtain the total number of data to be exchanged. For example, a unit submits a data of a pool with a weight of 1.2 to the present center, the unit submits 90 minutes of data and more to the present center, 5 minutes of data are 85 minutes of data and 10 minutes of data are 80 minutes of data, and the present center opens (10+ (85×5+80×10) ×0.8/90) ×1.2=24 data rights to the unit. See table 2.
TABLE 2
| Data scoring | Score of credit | Data quantity | Rendezvous database weights |
| x＜65 | 0 | 0 | a |
| 65≤x i ＜90 | 0.8x i | y i | a |
| 90≤x | 90 | y | a |
The total number of data to be opened is calculated by the formula:
wherein N is the number of data to be opened, a is the weight of the rendezvous database, and x i Scoring each piece of data corresponding to data, y i For each score, the corresponding data quantity, y is the data quantity of 90 minutes and above.
(5) If the existing data quantity of the total center is insufficient to complete the number of data which the protocol should open, after the total center complements the library data, the unit is additionally opened with partial data, or other library data are opened according to the weight to complete the exchange. The specific manner and amount of data is determined by the associated unit protocol.
Therefore, by the multi-center cross-platform mass data exchange and sharing method provided by the embodiment of the invention, the corresponding target quantity can be determined according to the data exchange level of the data exchange request, the data exchange request is sent to the preferential node with the corresponding target quantity, the user terminal can only send the data exchange request once, so that the data information can be obtained from a plurality of data analysis nodes, and the corresponding data analysis nodes are selected according to the selected configuration values, so that the data exchange efficiency is improved; and meanwhile, the data query times and time are reduced, and the data exchange delay is reduced.
Fig. 3 shows a schematic structural diagram of a multi-center cross-platform mass data exchange and sharing system according to an embodiment of the present invention, where the multi-center cross-platform mass data exchange and sharing system applies the above method, and the following simply describes the structure of the multi-center cross-platform mass data exchange and sharing system, and other less things, please refer to the related description in the multi-center cross-platform mass data exchange and sharing method, and referring to fig. 3, the multi-center cross-platform mass data exchange and sharing system according to the embodiment of the present invention includes:
the user terminal is used for logging in the real world data platform through the user ID and carrying out identity authentication through the user personal key; after the identity authentication is passed, accessing a data exchange sharing platform, and sending a data exchange request or a data sharing request to a background controller;
the background controller is used for sending a data exchange request or a data sharing request to the target data node according to a preset exchange rule;
the target data node receiving the data exchange request or the data sharing request is marked as an application node, and is used for acquiring a data slice from an analysis node of each data in the application node according to the data exchange rule, performing check and repeat analysis on all objects in the acquired data slice, removing repeated data, and selecting the first n objects to feed back to the user terminal, wherein n is the data amount of the user application exchange.
As an optional implementation manner of the embodiment of the present invention, the user terminal is further configured to obtain the unique user ID and the user personal key generated by the real world data platform before the user terminal logs in the real world data platform through the user ID and performs identity authentication through the user personal key.
As an alternative implementation of the embodiment of the present invention, the data exchange request or the data sharing request includes: data exchange level or data sharing level, user ID, data attribute identification, user application exchange data amount.
As an optional implementation manner of the embodiment of the present invention, the background controller sends the data exchange request or the data sharing request to the target data node according to the preset exchange rule by: the background controller determines the data exchange amount of the user application according to the data exchange level or the data sharing level, and sends a data exchange request or a data sharing request to the preferred node corresponding to the data exchange amount of the user application.
As an optional implementation manner of the embodiment of the present invention, the target data node that accepts the data exchange request or the data sharing request selects the first n objects and feeds them back to the user terminal in the following manner: if n is less than or equal to the database data quantity, the first n objects are selected and fed back to the user terminal; if n > database data amount, returning all data in the database and prompting the shortage of the data.
As an optional implementation manner of the embodiment of the invention, the multi-center cross-platform mass data exchange and sharing system provided by the embodiment of the invention further comprises various centers and a total center; the background controller acquires data slices from analysis nodes of each data in the application nodes according to the data exchange rules by the following modes: each center is used for determining the score of each piece of data; the total center is used for calculating the contribution degree of each piece of data according to the score of the data; and calculating the total number of data to be opened according to the following formula by using the data with the data score larger than or equal to the preset score:wherein N is the number of data to be opened, a is the weight of the rendezvous database, and x i Scoring each piece of data corresponding to data, y i Corresponding data quantity for each score, wherein y is preset score and the data quantity above; if the total number of the data to be opened is not enough to finish the number of the data to be opened of the protocol, carrying out data complement; the background controller acquires the data slice.
Therefore, through the multi-center cross-platform mass data exchange and sharing system provided by the embodiment of the invention, the corresponding target quantity can be determined according to the data exchange level of the data exchange request, the data exchange request is sent to the preferential node with the corresponding target quantity, the user terminal can only send the data exchange request once, so that the data information can be obtained from a plurality of data analysis nodes, and the corresponding data analysis nodes are selected according to the selected configuration values, so that the data exchange efficiency is improved; and meanwhile, the data query times and time are reduced, and the data exchange delay is reduced.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (12)
1. A multi-center cross-platform mass data exchange and sharing method is characterized by comprising the following steps:
the user terminal logs in the real world data platform through the user ID and performs identity authentication through the user personal key;
after the identity authentication of the user terminal passes, the user terminal accesses the data exchange sharing platform and sends a data exchange request or a data sharing request to the background controller;
the background controller sends the data exchange request or the data sharing request to a target data node according to a preset exchange rule;
the target data node which receives the data exchange request or the data sharing request is marked as an application node, a data slice is obtained from an analysis node of each data in the application node according to a data exchange rule, the repeated analysis is carried out on all objects in the obtained data slice, repeated data are removed, and the first n objects are selected and fed back to the user terminal, wherein n is the data exchange number applied by the user.
2. The method of claim 1, further comprising, prior to the user terminal logging into the real world data platform with the user ID and authenticating with the user personal key:
the user terminal obtains the unique user ID and the user personal key generated by the real world data platform.
3. The method of claim 1, wherein the data exchange request or the data sharing request comprises: a data exchange level or a data sharing level, the user ID, a data attribute identification and the user application exchange data quantity.
4. The method of claim 3, wherein the background controller sending the data exchange request or the data sharing request to a target data node according to a preset exchange rule comprises:
and the background controller determines the data exchange request of the user according to the data exchange grade or the data sharing grade, and sends the data exchange request or the data sharing request to a preferred node corresponding to the data exchange request of the user.
5. The method of claim 1, wherein the selecting the first n objects for feedback to the user terminal comprises:
if n is less than or equal to the database data quantity, the first n objects are selected and fed back to the user terminal;
if n > database data amount, returning all data in the database and prompting the shortage of the data.
6. The method of claim 1, wherein the obtaining data slices from the analysis node of each data in the application node according to the data exchange rules comprises:
each center determines a score for each piece of data;
the total center calculates the contribution degree of each piece of data according to the score of the data;
the total center scores the data with the data score being larger than or equal to the preset score, and the total data number calculation formula which is required to be opened is calculated through the following formula:
wherein N is the number of data to be opened, a is the weight of the rendezvous database, and x i Scoring each piece of data corresponding to data, y i Corresponding data quantity for each score, wherein y is the preset score and the data quantity above;
and if the total number of the data to be opened obtained by calculation is insufficient to complete the number of the data to be opened of the protocol, the total center acquires the data slice after data complementation.
7. A multi-center cross-platform mass data exchange and sharing system, comprising:
the user terminal is used for logging in the real world data platform through the user ID and carrying out identity authentication through the user personal key; after the identity authentication is passed, accessing a data exchange sharing platform, and sending a data exchange request or a data sharing request to a background controller;
the background controller is used for sending the data exchange request or the data sharing request to a target data node according to a preset exchange rule;
the target data node receiving the data exchange request or the data sharing request is marked as an application node, and is used for acquiring a data slice from an analysis node of each data in the application node according to a data exchange rule, performing check and repeat analysis on all objects in the acquired data slice, removing repeated data, and selecting the first n objects to feed back to the user terminal, wherein n is the data amount of the user application exchange.
8. The system of claim 7, wherein the user terminal is further configured to obtain the unique user ID and the user personal key generated by the real world data platform before the user terminal logs in to the real world data platform with the user ID and performs identity authentication with the user personal key.
9. The system of claim 7, wherein the data exchange request or the data sharing request comprises: a data exchange level or a data sharing level, the user ID, a data attribute identification and the user application exchange data quantity.
10. The system of claim 7, wherein the background controller sends the data exchange request or the data sharing request to a target data node according to a preset exchange rule by:
and the background controller determines the data exchange request of the user according to the data exchange grade or the data sharing grade, and sends the data exchange request or the data sharing request to a preferred node corresponding to the data exchange request of the user.
11. The system according to claim 7, wherein the target data node accepting the data exchange request or the data sharing request selects the first n objects to feed back to the user terminal by:
if n is less than or equal to the database data quantity, the first n objects are selected and fed back to the user terminal;
if n > database data amount, returning all data in the database and prompting the shortage of the data.
12. The system of claim 7, further comprising individual centers and a total center;
the background controller acquires data slices from analysis nodes of each data in the application nodes according to data exchange rules by the following modes:
each center is used for determining the score of each piece of data;
the total center is used for calculating the contribution degree of each piece of data according to the score of the data; and calculating the total number of data to be opened according to the following formula by using the data with the data score larger than or equal to the preset score:wherein N is the number of data to be opened, a is the weight of the rendezvous database, and x i Scoring each piece of data corresponding to data, y i Corresponding data quantity for each score, wherein y is the preset score and the data quantity above; if the total number of the data to be opened is not enough to finish the number of the data to be opened of the protocol, carrying out data complement;
the background controller obtains a data slice.
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| CN113987002A (en) * | 2021-09-26 | 2022-01-28 | 陈文艳 | Data exchange method based on mass data analysis platform |
| CN114218176A (en) * | 2021-12-03 | 2022-03-22 | 李国宾 | Cross-platform data secure sharing and exchanging method |
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