WO2023208246A1

WO2023208246A1 - Data management method and apparatus, device and storage medium

Info

Publication number: WO2023208246A1
Application number: PCT/CN2023/092688
Authority: WO
Inventors: 彭佳伟; 蒙天庆
Original assignee: 深圳市未来鼠信息技术有限公司
Priority date: 2022-04-26
Filing date: 2023-05-08
Publication date: 2023-11-02
Also published as: CN114880323A; CN114880323B

Abstract

The present application provides a data management method, which is applied to an information processing platform. The information processing platform comprises clients. The method comprises: receiving a data request instruction sent by a clients; according to the data request instruction, acquiring associated information of the client; according to the associated information, performing interaction with a third-party database to obtain corresponding target data information; extracting the target data information according to a preset field model, and importing extracted information matching a preset field to the corresponding client, to obtain multiple pieces of field information corresponding to each piece of target data, the multiple pieces of field information comprising name information and status information; displaying the multiple pieces of field information corresponding to each piece of target data in a preset format on the corresponding client. In this way, the data is efficiently and conveniently imported into the client. In addition, a data management apparatus, a device and a storage medium are also proposed.

Description

Data management methods, devices, equipment and storage media

Technical field

The present application relates to the field of information processing technology, and in particular to a data management method, device, equipment and storage medium.

Background technique

We are currently in the information age, and a large amount of data information is generated every day. How to manage data information related to oneself is crucial for individuals or enterprises.

For example, intellectual property rights are increasingly valued by enterprises. How to conveniently and quickly manage the intellectual property cases of enterprises is an urgent problem that needs to be solved. At present, many companies are beginning to tend to manage intellectual property cases through the system. However, when using the system to manage intellectual property cases, customers often need to manually input relevant information, either requiring customers to manually enter relevant case information one by one, or requiring customers to manually enter relevant case information one by one. Enter the search criteria, and then search for relevant intellectual property case information from a third party and import it based on the search criteria. Obviously, this method is time-consuming, labor-intensive, and not intelligent enough, so it cannot meet the needs of enterprises for convenient data management.

Contents of the invention

This application aims to solve the above-mentioned time-consuming, labor-intensive and insufficiently intelligent problems, and proposes a data management method, device, equipment and storage medium. This method can realize convenient management of data information by enterprises, saving time and effort.

A data management method, characterized in that it is applied to an information processing platform, and the information processing platform includes: a client;

The methods include:

Receive data request instructions sent by the client;

Obtain the client association information according to the data request instruction;

According to the associated information, interact with a third-party database to obtain corresponding target data information;

Extract the target data information according to the preset field model, import the extracted information matching the preset fields to the corresponding client, and obtain multiple field information corresponding to each target data. Field information includes: name information, status information;

Display multiple field information corresponding to each target data on the corresponding client in a preset format.

A data management device, applied to an information processing platform, the information processing platform includes: a client;

The device includes:

The receiving module is used to receive data request instructions sent by the client;

An acquisition module, configured to acquire the client-related information according to the data request instruction;

An interaction module, configured to interact with a third-party database to obtain corresponding target data information based on the associated information;

The import module is used to extract the target data information according to the preset field model, import the extracted information matching the preset fields to the corresponding client, and obtain multiple field information corresponding to each target data. , the plurality of field information includes: name information, status information;

The display module is used to display multiple field information corresponding to each target data on the corresponding client in a preset format.

A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, it causes the processor to perform the following steps:

Receive data request instructions sent by the client;

A computer device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, it causes the processor to perform the following steps:

Receive data request instructions sent by the client;

With the above data management methods, devices, computer equipment and storage media, when the client needs to import information, it only needs to trigger the data request instruction. There is no need to manually enter any content. The client related information will be automatically obtained according to the data request instruction. Then interact with the third-party database based on the associated information to obtain the target data information, and perform field extraction on the target data information according to the preset field model, then import it to the client, and display it on the corresponding client according to the preset format. This data management method can intelligently obtain client-related information, save time and effort, and realize convenient management of data information.

Description of the drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 is a flow chart of a data management method in one embodiment;

Figure 2 is a flow chart of a data management method in another embodiment;

Figure 3 is a structural block diagram of a data management device in one embodiment;

Figure 4 is a block diagram of the internal structure of a computer device in one embodiment.

Implementation

It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all implementations. example. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

It should be noted that the terms "include", "comprising" and "having" in the description and claims of this application and the above-mentioned drawings, as well as any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes Other steps or units inherent to such processes, methods, products or devices. Terms used in the claims, description, and drawings of this application, and relational terms such as "first" and "second" are only used to distinguish one entity/operation/object from another entity/operation/ Objects are distinguished without necessarily requiring or implying any such actual relationship or ordering between these entities/operations/objects.

Reference herein to "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearances of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art understand, both explicitly and implicitly, that the embodiments described herein may be combined with other embodiments.

As shown in Figure 1, a data management method is applied to an information processing platform. The information processing platform includes: a client;

The methods include:

Step 102: Receive the data request instruction sent by the client.

Among them, the data request instructions can be automatically triggered or passively triggered. For example, timing can be set for monitoring and triggering. In one embodiment, a data import button can be provided on the client interface, and the corresponding data request instruction is triggered through the data import button.

Step 104: Obtain client association information according to the data request instruction.

The client association information may be one or more personal/enterprise information associated with the client. For example, if the data you want to import is patent data, you can use the company information (that is, the applicant information) as the related information by default. In one embodiment, the client association information can also be obtained by analyzing and extracting the imported data information in the client. For example, according to the analysis of the imported data information, it is found that the imported data information contains multiple enterprises/ For individual subjects, the multiple subjects will be directly used as the client associated information. And/or, according to the user information of the client (the user information can be the registration information of an individual/enterprise), extract multiple enterprise/individual entities as default client association information; specifically, use the user information as a search condition in a third party The enterprise query platform queries the enterprises associated with the current user, such as Daoqicha, Aiqicha, Tianyancha, etc. to query the enterprises associated with the current user, and extracts enterprises that meet the preset conditions (such as the user's shareholding ratio reaches A certain threshold, and/or, the shareholding ratio in shareholder information reaches a certain threshold) as the associated information of the current client; in this way, the client associated information can be obtained intelligently without user input or editing, avoiding the need for users to enter during manual input. errors or omissions, and the client-related information obtained through this method is more efficient and accurate.

Optionally, when the obtained client association information includes multiple data, the user can be allowed to select and confirm.

Step 106: According to the associated information, interact with the third-party database to obtain the corresponding target data information.

Among them, after the associated information is determined, the search conditions are also determined, and the corresponding target data information is searched for in the third-party database based on the associated information.

Step 108: Extract the target data information according to the preset field model, import the extracted information matching the preset fields to the corresponding client, and obtain multiple field information corresponding to each target data. Multiple fields Information includes: name information, status information.

Among them, the preset field model is used to extract preset fields from the target data information, so that multiple field information corresponding to each target data can be extracted.

Step 110: Display multiple field information corresponding to each target data on the corresponding client in a preset format.

Among them, the layout format of multiple fields is set in advance on the client, and the multiple field information corresponding to each target data is displayed based on the preset format.

In the above data management method, when the client needs to import information, it only needs to trigger the data request instruction. There is no need to manually enter any content. The client's associated information will be automatically obtained according to the data request instruction, and then the client's associated information will be obtained based on the associated information. The database interacts to obtain the target data information, extracts fields according to the preset field model, then imports it to the client, and displays it on the corresponding client according to the preset format. This data management method can intelligently obtain client-related information, save time and effort, and realize convenient management of data information.

In one embodiment, obtaining the client associated information according to the data request instruction includes: obtaining the user information of the client, and querying the third party platform based on the user information associated with the user information. At least one enterprise information, using the at least one enterprise information as the client associated information; or when there is imported data information in the client, extracting the enterprise subject or individual subject in the imported data information , using the enterprise subject or individual subject as the client associated information. By automatically obtaining client-related information, users are not required to manually input. On the one hand, manual input errors are avoided, and on the other hand, the client-related information obtained through this method is more comprehensive, efficient, and accurate.

In one embodiment, after interacting with a third-party database to obtain corresponding target data information based on the associated information, the method further includes: filtering out data information that has been imported to the client from the target data information, as the first target data information; use the data information in the target data information that is not imported into the client as the second target data information;

The target data information is extracted according to the preset field model, and the extracted information matching the preset fields is imported to the corresponding client to obtain multiple field information corresponding to each target data. The plurality of field information includes: name information and status information, including: updating the status information of the imported data information in the client according to the first target data information; updating the second target according to the preset field model. Data information is extracted, and the extracted information matching the preset fields is imported to the corresponding client.

Among them, before initiating this data request instruction, the client may already have some imported data information. In order to avoid repeated imports, the imported data information is filtered out from the found target data information as the first target data information. , and subsequently based on the first target data, only the status of the imported data information needs to be updated, and no repeated import is required. For the second target data information that has not been imported, the fields are extracted and imported to the corresponding client. This method not only avoids repeated imports, but also enables status updates of imported data information, saving time, effort, and high efficiency and intelligence.

As shown in Figure 2, in one embodiment, the above data management method also includes:

Step 112: The information processing platform regularly monitors the newly added data information set in the third-party database, and the data information set includes multiple pieces of new data information;

Among them, in order to further improve the management convenience for enterprise users, the information processing platform can also actively monitor new data information sets in third-party databases, for example, crawl new data information in third-party databases every day or every week. Then automatically assigned to the associated client.

Step 114: For each piece of newly added data information, find whether there is an associated client. If it exists, use the preset field model to extract the fields of the corresponding data information and import it to the corresponding client. If it does not exist, then Discard the corresponding data information.

Among them, for each piece of new data information, it is automatically searched whether there is an associated client, that is, whether each piece of newly added data information matches the client's associated information. For example, if the associated information is applicant information, then the applicant information in the new data information can be obtained, and then matched with the applicant information on the client. If there is a match, the new data information will be distributed to the corresponding client. If no client is matched, the data information is discarded. The data information of actively distributed clients can be marked as new, which makes it easier for enterprise users to understand which data is new and improves the efficiency and convenience of information acquisition.

Through the information processing platform, the newly added data information in the third-party database is actively obtained, and then distributed to the associated client, enabling enterprise users to obtain information and data without any sense, further providing enterprises with the convenience of data management.

In one embodiment, obtaining the client association information according to the data request instruction includes: obtaining whether there is imported data information in the client; if there is, then processing the imported data The information is analyzed and identified, and the associated information is determined based on the analysis and identification results; if it does not exist, the personal information or corporate information corresponding to the client is obtained as the associated information.

Among them, there are two ways to obtain the client's associated information. One is to obtain the personal information or corporate information corresponding to the client as the associated information, and the other is to analyze the imported data information in the client to determine the associated information, such as , you can analyze what applicant information exists in the imported data information, and then use the analyzed applicant information as associated information. You can also analyze what common characteristics the imported data information has. For example, if the imported If the data information all correspond to the same agent, then the agent can be used as a common feature. If the imported data information all correspond to the same technology, then the technology can be used as a common feature, and then the analysis will be The common features are displayed to the client as associated information, or as options, and then the client's selection is obtained and used as associated information.

In one embodiment, analyzing and identifying the imported data information, and determining the associated information based on the analysis and identification results includes:

Perform feature extraction on the imported data information to extract one or more common features;

The one or more common features are displayed on the client as selection items, the client's selection of the one or more common features is obtained, and the associated information is determined based on the selection.

Among them, common features are extracted from the imported data information. For example, if the imported data information all corresponds to a certain enterprise, then the enterprise is one of the common features. If the imported data information all corresponds to a certain enterprise, then the enterprise is one of the common features. technology or a certain classification number, then the technology or classification number is also one of the common features, and the extracted common features are displayed on the client as selection items. The client can select one or more common features as related information according to needs. By analyzing the imported data information, multiple common features are extracted and then displayed on the client. In this way, enterprise users can select one or more common features as associated information according to actual needs, and then automatically use the associated information to This method of obtaining corresponding data information is very friendly to enterprise users and is conducive to exploring the potential needs of enterprise users. For enterprise users, they only need to click and select without manually entering any information, saving time and effort, and making the operation convenient.

In one embodiment, the method includes: when detecting that the client performs a deletion operation on one or more pieces of data information that has been imported, performing feature identification on the deleted one or more pieces of data information, and determining that the Characteristic tags of one or more pieces of data information; based on the characteristic tags, it is prompted whether to delete all imported data information with the characteristic tags.

Among them, in the process of data management, enterprises not only have needs for new data, but also need to delete old or data information that they no longer want to pay attention to. In order to enable enterprise users to delete the data they want to delete more quickly, when it is detected that the client deletes one or more pieces of imported data, the features of the deleted one or more pieces of data are identified and the corresponding Feature tags. There can be multiple feature tags. For example, there can be applicants, technical classifications, case status, etc. The multiple feature tags are displayed and prompted whether to delete other data information with corresponding feature tags. This is how to obtain After the customer chooses, the data information with the same feature tags can be deleted together, which is efficient and fast.

In one embodiment, the method further includes: obtaining an update instruction for the selected data information; interacting with the third-party database according to the update instruction to obtain the latest status of the selected data information. Status updates the status information.

Among them, there is a need to update the status of the data information that has been imported to the client. After receiving the update instruction, the corresponding latest status is obtained, and then the latest status is updated to the status information. That is, when you want to update the status, you only need to send an update command based on the selected data information, which is fast and efficient.

In one embodiment, the method further includes: when a new field is detected, obtaining the new field information corresponding to the imported data information by interacting with a third-party database; and converting the new field information corresponding to the imported data information to The added field information is imported into the corresponding field location and displayed on the corresponding client.

Among them, on the client side, enterprise users can customize fields as needed, that is, they can choose which fields to display. If additional fields need to be added for the imported data information, the fields that need to be added are obtained, and then the fields are obtained by interacting with the third-party database. Extract the field information corresponding to the newly added field and import it to the client for display. This method can meet the customized needs of enterprise users.

In one embodiment, interacting with a third-party database to obtain corresponding target data information based on the associated information includes: searching in the third database based on the associated information all data corresponding to the associated information. Data information: filter out data information in a valid state from all data information as the target data information.

Among them, data information in an invalid state is often useless to enterprises. Therefore, when performing data search, data information in a valid state can be filtered out as target data information according to the validity and invalidity of the data state, thereby providing information that is more beneficial to enterprise users. Acquire and manage.

As shown in Figure 3, in one embodiment, a data management device is applied to an information processing platform, and the information processing platform includes: a client;

The receiving module 302 is used to receive data request instructions sent by the client;

The acquisition module 304 is used to acquire the client association information according to the data request instruction;

The interaction module 306 is used to interact with a third-party database to obtain corresponding target data information based on the associated information;

The import module 308 is used to extract the target data information according to the preset field model, import the extracted information matching the preset fields to the corresponding client, and obtain multiple fields corresponding to each target data. Information, the plurality of field information includes: name information, status information;

The display module 310 is used to display multiple field information corresponding to each target data on the corresponding client in a preset format.

In one embodiment, the data request instruction is triggered by a user or automatically monitored in a preset period.

In one embodiment, the above device further includes:

A screening module, configured to filter out the data information that has been imported into the client from the target data information as the first target data information; and use the data information that has not been imported into the client from the target data information as the second target data. information;

The import module is also used to update the status information of the imported data information in the client according to the first target data information; extract the second target data information according to the preset field model, and extract the extracted Information matching the preset fields is imported to the corresponding client.

In one embodiment, the above device further includes:

A monitoring module, configured for the information processing platform to regularly monitor new data information sets in the third-party database, where the data information set includes multiple pieces of new data information;

The search module is used to find whether there is an associated client for each new piece of data information. If it exists, use the preset field model to extract the fields of the corresponding data information and import it to the corresponding client. If it does not exist, , the corresponding data information is discarded.

In one embodiment, the acquisition module is also used to obtain whether there is imported data information in the client; if it exists, analyze and identify the imported data information, and determine the associated information based on the analysis and identification results. ; If it does not exist, obtain the personal information or corporate information corresponding to the client as the associated information.

In one embodiment, the acquisition module is also used to perform feature extraction on the imported data information to extract one or more common features; and display the one or more common features as options on the client , obtain the client's selection of the one or more common features, and determine the associated information based on the selection.

In one embodiment, the above device includes:

A feature identification module, configured to perform feature identification on the deleted one or more pieces of data information when it is detected that the client deletes one or more pieces of data information that has been imported, and determine that the one or more pieces of data information have been deleted. Characteristic labels of data information;

A prompting module configured to prompt whether to delete all imported data information with the characteristic label based on the characteristic label.

In one embodiment, the above device includes: obtaining an update instruction for the selected data information; interacting with the third-party database according to the update instruction to obtain the latest status of the selected data information, and updating according to the latest status. the status information.

In one embodiment, the above device further includes:

A new import module is used to obtain the new field information corresponding to the imported data information by interacting with a third-party database when a new field is detected; and import the new field information corresponding to the imported data information into Corresponding field positions and display on the corresponding client.

In one embodiment, the interaction module is further configured to search for all data information corresponding to the associated information in the third database according to the associated information; and to filter out data information in a valid state from all data information. as the target data information.

Figure 4 shows an internal structure diagram of a computer device in one embodiment. The computer device may be a server and includes a processor and a memory connected through a system bus. Among them, memory includes non-volatile storage media and internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can implement the above data management method. The internal memory may also store a computer program. When the computer program is executed by the processor, it can cause the processor to perform the above-mentioned data management method. Those skilled in the art can understand that the structure shown in Figure 4 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Specific computer equipment can May include more or fewer parts than shown, or combine certain parts, or have a different arrangement of parts.

A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, it causes the processor to execute the steps of the above data management method.

A computer device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor performs the steps of the above data management method.

It should be noted that the above-mentioned data management methods, devices, computer equipment and storage media have the same or corresponding technical features, and the above-mentioned corresponding embodiments can be mutually applicable.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through computer programs. The programs can be stored in a non-volatile computer-readable storage medium. , when the program is executed, it may include the processes of the above-mentioned method embodiments. Any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and/or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above embodiments can be combined in any way. To simplify the description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, all possible combinations should be used. It is considered to be within the scope of this manual.

The above-described embodiments only express several implementation modes of the present application, and their descriptions are relatively specific and detailed, but should not be construed as limiting the patent scope of the present application. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all fall within the protection scope of the present application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

A data management method, characterized in that it is applied to an information processing platform, and the information processing platform includes: a client;

The methods include:

Receive data request instructions sent by the client;

Obtain the client association information according to the data request instruction;

According to the associated information, interact with a third-party database to obtain corresponding target data information;

Extract the target data information according to the preset field model, import the extracted information matching the preset fields to the corresponding client, and obtain multiple field information corresponding to each target data. Field information includes: name information, status information;

Display multiple field information corresponding to each target data on the corresponding client in a preset format.
The method according to claim 1, characterized in that, obtaining the client association information according to the data request instruction includes:

Obtain the user information of the client, query at least one enterprise information associated with the user information on a third-party platform according to the user information, and use the at least one enterprise information as the client associated information;

or

When there is imported data information in the client, the enterprise subject or individual subject in the imported data information is extracted, and the enterprise subject or individual subject is used as the client associated information.
The method according to claim 1, characterized in that, after interacting with a third-party database to obtain corresponding target data information based on the associated information, it further includes:

Filter out the data information that has been imported into the client from the target data information as the first target data information;

Use the data information in the target data information that is not imported into the client as the second target data information;

The target data information is extracted according to the preset field model, and the extracted information matching the preset fields is imported to the corresponding client to obtain multiple field information corresponding to each target data. Multiple field information includes: name information, status information, including:

Update the status information of the imported data information in the client according to the first target data information;

The second target data information is extracted according to a preset field model, and the extracted information matching the preset field is imported to the corresponding client.
The method of claim 1, further comprising:

The information processing platform regularly monitors new data information sets in the third-party database, and the data information set includes multiple pieces of new data information;

For each piece of new data information, check whether there is an associated client. If it exists, use the preset field model to extract the fields of the corresponding data information and import it to the corresponding client. If it does not exist, discard the corresponding Data information.
The method according to claim 1, characterized in that, obtaining the client association information according to the data request instruction includes:

Obtain whether there is imported data information in the client;

If it exists, analyze and identify the imported data information, and determine the associated information based on the analysis and identification results;

If it does not exist, obtain the personal information or enterprise information corresponding to the client as the associated information.
The method of claim 5, wherein the step of analyzing and identifying the imported data information and determining the associated information based on the analysis and identification results includes:

Perform feature extraction on the imported data information to extract one or more common features;

The one or more common features are displayed on the client as selection items, the client's selection of the one or more common features is obtained, and the associated information is determined based on the selection.
The method according to claim 1, characterized in that the method includes:

When it is detected that the client performs a deletion operation on one or more pieces of data information that has been imported, perform feature identification on the one or more pieces of data information that has been deleted, and determine the feature tags of the one or more pieces of data information;

Prompt based on the feature tag whether to delete all imported data information with the feature tag.
The method of claim 1, further comprising:

Get update instructions for selected data information;

Interact with the third-party database according to the update instruction to obtain the latest status of the selected data information, and update the status information according to the latest status.
The method of claim 1, further comprising:

When a new field is detected, the new field information corresponding to the imported data information is obtained by interacting with the third-party database;

Import the new field information corresponding to the imported data information to the corresponding field position, and display it on the corresponding client.
The method according to claim 1, characterized in that, based on the associated information, interacting with a third-party database to obtain corresponding target data information includes:

Search all data information corresponding to the associated information in the third database according to the associated information;

Data information in a valid state is filtered out from all data information as the target data information.
A data management device, characterized in that it is applied to an information processing platform, and the information processing platform includes: a client;

The device includes:

The receiving module is used to receive data request instructions sent by the client;

An acquisition module, configured to acquire the client-related information according to the data request instruction;

An interaction module, configured to interact with a third-party database to obtain corresponding target data information based on the associated information;

The import module is used to extract the target data information according to the preset field model, import the extracted information matching the preset fields to the corresponding client, and obtain multiple field information corresponding to each target data. , the plurality of field information includes: name information, status information;

The display module is used to display multiple field information corresponding to each target data on the corresponding client in a preset format.
A computer-readable storage medium storing a computer program, characterized in that when the computer program is executed by a processor, it causes the processor to execute the data management method according to any one of claims 1 to 10. step.
A computer device, including a memory and a processor, characterized in that the memory stores a computer program, and when the computer program is executed by the processor, the processor executes any one of claims 1 to 10 The steps of the data management method described in Item.