CN113779609B - Data management method, device, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the invention discloses a data management method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: when a data access request sent by a target client is received, acquiring data acquisition parameters carried in the data access request; the data acquisition parameters comprise data acquisition types and target qualification proving information; when the qualification proof information and the data acquisition type meet a preset corresponding relation, configuring data access rights for the client; accessing target supervision data corresponding to the data access request in the distributed file system based on the data access rights; wherein, the distributed file system stores health medical data of each user. According to the technical scheme, the effective supervision of the data sharing process is realized, and the digital and intelligent development of the big data system in the medical industry is promoted.
Description
Technical Field
The embodiment of the invention relates to the technical field of data management, in particular to a data management method, a data management device, electronic equipment and a storage medium.
Background
Along with the penetration fusion of the Internet information technology and the medical system, the health medical big data are closely related to the development of medical industry and the life health of people, and the data are taken as important strategic resources in China and gradually become important bases for related institutions or individuals to develop business and research work.
In the prior art, in order to effectively utilize big health medical data, a plurality of medical and health institutions are usually associated in a system, and various types of data are collected by making data collection rules, so that the obtained data are stored in a server for related institutions or individuals to use. However, the scheme only focuses on the acquisition process of mass data, but does not monitor the use process of the data, and if related institutions or individuals do not call the data correctly, or use the data to develop illegal and illegal services, the public health medical data is leaked, and the data security of medical systems in China is threatened.
Therefore, when the big data of health care is used as a data source in the relevant institutions or personal business development process, the big data is not effectively supervised, and massive data cannot be shared and circulated on the Internet in a more standard mode.
Disclosure of Invention
The invention provides a data management method, a device, electronic equipment and a storage medium, which realize effective supervision of the process of data sharing and promote the development of digitization and intellectualization of a big data system in the medical industry.
In a first aspect, an embodiment of the present invention provides a data management method, including:
when a data access request sent by a target client is received, acquiring data acquisition parameters carried in the data access request; the data acquisition parameters comprise data acquisition types and target qualification proving information;
when the qualification proof information and the data acquisition type meet a preset corresponding relation, configuring data access rights for the client;
accessing target supervision data corresponding to the data access request in the distributed file system based on the data access rights;
wherein, the distributed file system stores health medical data of each user.
In a second aspect, an embodiment of the present invention further provides a data management apparatus, including:
the data acquisition parameter determining module is used for acquiring data acquisition parameters carried in a data access request sent by a target client when the data access request is received; the data acquisition parameters comprise data acquisition types and target qualification proving information;
The data access right configuration module is used for configuring data access rights for the client when the qualification proof information and the data acquisition type meet a preset corresponding relation;
the target supervision data access module is used for accessing target supervision data corresponding to the data access request in the distributed file system based on the data access authority; wherein, the distributed file system stores health medical data of each user.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the data management method according to any of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer-executable instructions which, when executed by a computer processor, are used to perform a data management method according to any of the embodiments of the present invention.
According to the technical scheme, when a data access request sent by a target client is received, data acquisition parameters carried in the data access request are acquired firstly, so that qualification proving information and data acquisition types of users are determined; when the qualification proof information and the data acquisition type meet the preset corresponding relation, the data access authority is configured for the client, the target supervision data corresponding to the data access request in the distributed file system is accessed based on the data access authority, the effective supervision of the process of data sharing is realized, the behaviors of data abuse and the like are avoided, the safety of the healthy medical big data is improved, meanwhile, the specification is provided for the configuration of the data access authority, and the digitization and the intelligent development of the big data system in the medical industry are promoted.
Drawings
In order to more clearly illustrate the technical solution of the exemplary embodiments of the present invention, a brief description is given below of the drawings required for describing the embodiments. It is obvious that the drawings presented are only drawings of some of the embodiments of the invention to be described, and not all the drawings, and that other drawings can be made according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a data management method according to a first embodiment of the present invention;
fig. 2 is a flow chart of a data management method according to a second embodiment of the present invention;
fig. 3 is a design and construction diagram of a comprehensive supervision system based on operation of big data service of health care according to a third embodiment of the present invention;
fig. 4 is a diagram of a relationship design and construction of data supervision 360 in the integrated supervision system according to the third embodiment of the present invention;
fig. 5 is a block diagram of a data management device according to a fourth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flow chart of a data management method according to an embodiment of the present invention, where the method may be applied to a scenario of supervising access situations based on big health medical data, and the method may be performed by a data management device, where the device may be implemented in the form of software and/or hardware, and the hardware may be an electronic device, such as a mobile terminal, a PC or a server.
As shown in fig. 1, the method specifically includes the following steps:
s110, when a data access request sent by a target client is received, acquiring data acquisition parameters carried in the data access request.
The target client may be a program corresponding to the server and providing local service for the user, and it can be understood that when the user wants to accept multiple services provided by the server, the user needs to send a request corresponding to a specific service by using the client first, for example, when the user wants to accept a service identified as a provided by the server, the user can send an HTTP request to the server by using the client based on a hypertext transfer protocol (Hyper Text Transfer Protocol, HTTP), and the server can generate a corresponding return value to feed back to the client after responding to the request, thereby providing the service identified as a to the user.
In this embodiment, when the user wants to access the medical health big data stored in the server, the request sent by the client is a data access request, where the request may at least reflect the target data that the user wants to access, and specifically, the server may determine, based on the data acquisition parameter carried by the data access request, the target data that the user wants to access, where the data acquisition parameter includes a data acquisition type and target qualification information.
In this embodiment, the data acquisition type may be information reflecting data attributes from a plurality of dimensions, and specifically, the data acquisition type includes at least one of an enterprise type, an organization type, a project type, a team type, a person type, and a business type. The data acquisition type of the enterprise type is taken as an example for illustration, after the server side analyzes the data access request, the data acquisition type carried by the request can be extracted, and further, if the extracted data acquisition type is the enterprise type, the server side can determine that the user wants to access the data which can only provide access rights for the enterprise user. Similarly, when the data acquisition type is other types, the server may also determine the specific type of data that the user wants to access. It should be understood by those skilled in the art that, for a specific data acquisition type, the embodiments of the present disclosure are not limited specifically herein, that is, in a practical application scenario, the data acquisition type may be further divided in detail from other dimensions, for example, a government service type, a scientific research type, and a common service type may be divided in the data acquisition type according to the purpose of the data.
It should be noted that, in the server storing big data of health care, the data acquisition type may be associated with various data in the form of a tag, and it may be understood that each data file may be associated with at least one tag, and then the data file may be used as a data source of a user corresponding to the tag by the server.
The data acquisition type is determined, and meanwhile, the target qualification information of the user can be determined based on the data acquisition parameters carried by the data access request. The qualification information is information which is acquired according to legal procedures and can prove various conditions such as the capability, the level and the like of a unit or a person, for example, the qualification information can be a business license copy with a official seal for enterprises, and the qualification information can be an identity card photo and the like for the person.
It should be understood by those skilled in the art that, in the subsequent configuration process of the user data access right, the server needs to use at least the data acquisition type and the target qualification information carried by the data access request. It should be noted that, in addition to the data access request being sent and the request carrying the information and transmitting the information to the server, the user may manually submit the information associated with the request as the data acquisition parameter through the client after sending the data access request.
And S120, when the qualification proving information and the data acquisition type meet the preset corresponding relation, configuring data access rights for the client.
When the data acquisition type comprises an enterprise type, an organization type, a project type, a team type, a personal type and a business type, the qualification information can be one-to-one corresponding to the data acquisition type according to the classification, and is stored in a server in a mapping table form, and based on the qualification information, the qualification information corresponding to the data acquisition type can be determined in a table look-up mode when the data acquisition type is determined.
Illustratively, when the data acquisition type is an enterprise type, the qualification information corresponding to the type may be a business license of the enterprise, when the data acquisition type is an institution type, the qualification information corresponding to the type may be a medical institution license issued by a country, when the data acquisition type is an item type, the qualification information corresponding to the type may be approval information of the item, and the like.
In this embodiment, based on the data acquisition parameters carried by the data access request, after extracting the corresponding data acquisition type and the target qualification proving information, the server may determine whether the corresponding relationship is satisfied by using the mapping table, and if it is determined that the qualification proving information and the data acquisition type satisfy the preset corresponding relationship, the data access authority may be configured for the target client, where it should be understood by those skilled in the art that the data access authority is the authority granted to the user by the server to directly or indirectly read the specific data.
The server determines that the data acquisition type is an enterprise type, and also determines a business license serving as target qualification information, and can determine based on a mapping table representing the correspondence between the qualification information and the data acquisition type, wherein the two types of information satisfy a preset correspondence.
It should be noted that, the server may automatically determine whether the qualification proof information and the data acquisition type meet the preset corresponding relationship based on technologies such as image recognition and text recognition, or may issue the data acquisition parameters to a port corresponding to a worker, and the worker reviews the information, and at the same time, displays the review progress fed back by the worker on a specific page.
S130, accessing target supervision data corresponding to the data access request in the distributed file system based on the data access authority.
The system for storing data at the server side can be a distributed file system (Hadoop Distributed File System, HDFS) under a Hadoop architecture, the system adopts a master-slave structure model, an HDFS cluster is composed of a metadata storage node for managing the file system and a plurality of nodes for storing actual data, and the distributed file system has the characteristics of high fault tolerance and the like and can be deployed on low-cost hardware.
In this embodiment, the distributed file system stores health medical data of each user. The health medical data is information which comprehensively reflects the health trend of the user from multiple dimensions, and at least can comprise personal basic information of the user, medical information of the user in the medical institutions, medical insurance data of the user and the like. By way of example, in health medical data, information may be included such as the user's name, gender, age, height, weight, allergy history, electronic medical records, health profiles, medical insurance consumption, etc.
In this embodiment, in order to implement supervision on big data, improve the security and traceability of data usage, when the server configures data access rights for a client corresponding to a user, the server also determines corresponding data in the distributed file system as target supervision data. It will be appreciated that after the data acquisition information is associated with the data in the distributed file system in the form of a tag, at least one of the tags associated with the target administrative data is consistent with the type of data acquisition carried by the request. Correspondingly, after the target client corresponding to the user obtains the access right of the target supervision data, the data can be read in a specific time period, and then corresponding business or scientific research work is carried out by utilizing the data.
In the process of determining and supervising the target supervision data, the server side can close the data access right of the user at any time if the user is judged to have the behavior of using the healthy medical big data in a violation manner based on the preset rule.
According to the technical scheme, when a data access request sent by a target client is received, data acquisition parameters carried in the data access request are acquired firstly, so that qualification proving information and data acquisition types of users are determined; when the qualification proof information and the data acquisition type meet the preset corresponding relation, the data access authority is configured for the client, the target supervision data corresponding to the data access request in the distributed file system is accessed based on the data access authority, the effective supervision of the process of data sharing is realized, the behaviors of data abuse and the like are avoided, the safety of the healthy medical big data is improved, meanwhile, the specification is provided for the configuration of the data access authority, and the digitization and the intelligent development of the big data system in the medical industry are promoted.
Example two
Fig. 2 is a flow chart of a data management method according to a second embodiment of the present invention, on the basis of the foregoing embodiment, health medical big data are collected from multiple types of institutions, so as to achieve aggregation of health medical data; the strict auditing of the user data access request is realized through the matching of the qualification proving information to be matched and the target qualification proving information; after successful user qualification authentication, information files are established from multiple aspects, so that supervision and tracing of related data are realized; and a hyperlink relation is established among the configuration items with the same information files, so that convenience and usability of the server side are further enhanced. The specific implementation manner can be seen in the technical scheme of the embodiment. Wherein, the technical terms identical to or corresponding to the above embodiments are not repeated herein.
As shown in fig. 2, the method specifically includes the following steps:
s210, collecting data to be supervised related to health medical information, and storing the data to be supervised in a distributed file system; at least one login state component corresponding to the read distributed file system is set to verify the data acquisition identifier and the user identifier based on the at least one login state component.
In this embodiment, in order to provide a user with massive health care big data, the server first needs to perform a data aggregation operation, for example, collect health care data of the user from a medical health service organization, a public health professional organization, a health administration department, and other health related units in real time through a data transmission channel, and it is understood that these organizations are the organizations participating in data aggregation, and the collected data is the data to be monitored. Further, after the server performs the data cleansing operation, the data may be classified and stored in the distributed file system, and those skilled in the art should understand that the data cleansing includes data consistency checking, invalid value processing, missing value processing, and the like, and the embodiments of the present disclosure will not be repeated herein.
In this embodiment, the login state component may be obtained after packaging the related data and the login method, after the user logs in with the user name based on the login state component using a specific user code, the server may determine the corresponding user identifier (e.g., the ID of the user) through data verification, so as to determine whether the current login user is a registered user, and at the same time, the server may further verify the data acquisition identifier corresponding to the user, so that it may be understood that the data acquisition identifier is at least used to reflect which types of data the user may acquire. After the user logs in by using the login state component, the user can perform data transmission and communication with the distributed file system of the server side,
It is to be appreciated that a registration component can be provided in addition to the login component to guide the user to register an account upon failure of the user verification. It should be noted that, similar to the process of auditing qualification information, the registration process may also be displayed on a specific page.
S220, when a data access request sent by a target client is received, acquiring data acquisition parameters carried in the data access request.
S230, determining qualification information to be matched corresponding to the data acquisition type; and when the target qualification information is the qualification information in the qualification information to be matched, configuring data access rights for the client.
In this embodiment, after determining the data acquisition type and the target qualification information in the data acquisition parameters, the qualification information to be matched corresponding to the data acquisition type needs to be determined.
When the enterprise user sends a data access request through the client, the data acquisition parameter indicates that the user wants to acquire the health medical data of the enterprise type in the distributed file system, and at this time, the server may determine that the qualification information corresponding to the enterprise type data is an enterprise business license (i.e. the qualification information to be matched) based on a preset mapping relationship table between the qualification information and the data acquisition type. Further, the target qualification information provided by the user is judged, and in the actual application process, whether the target qualification information meets the standard of the qualification information to be matched can be judged in an image recognition or manual verification mode. When the target qualification proving information carried by the data access request is determined to be the enterprise business license matched with the user, the data access request is judged to meet the requirement, and then the data access authority is configured for the client corresponding to the user.
When the qualification proving information and the data acquisition type do not meet the preset corresponding relation, prompting the user. Continuing with the above example, if it is determined that the user wants to obtain the health medical data of the enterprise type in the distributed file system, but the provided target qualification information is not the enterprise business license, it may be determined that the data access request does not meet the requirement, the data access right will not be configured for the client corresponding to the user, and prompt information such as "the qualification information submitted by the user does not meet the requirement" is fed back.
S240, respectively establishing information files based on the data acquisition types to record the accessed information of the data of each data acquisition type.
In this embodiment, after the data access rights are allocated to the client corresponding to the user, in order to effectively manage the big data, it is also necessary to establish a plurality of dimensional information files according to the data acquisition types, where the content recorded in the files may further import the accessed condition of the data from the server log file, such as the time when the user invokes the data, the data size, and so on, in addition to the basic information and the target qualification proof information of the user, so as to record the accessed information of the data.
Specifically, when the data acquisition type is an enterprise type, on one hand, in a corresponding enterprise information file established at the server, basic information of an enterprise can be recorded, including enterprise name, enterprise code, enterprise property, enterprise legal person, registration address, industry category, contact way, operation range, main business, main product, contact person name, telephone number, main financial index of the enterprise, whether a high and new technology enterprise is listed, time of marketing, and the like; on the other hand, enterprise operation information is recorded, including data use application, application programming interface (Application Programming Interface, API) subscription, data set subscription, sandbox subscription, API log, and data exploration information of the enterprise, etc., it can be understood that the server side can at least determine through the enterprise operation information which API interfaces the user calls the target supervision data, and determine which data sets in the distributed file system or data in the sandbox the user has been called. Meanwhile, dynamic labels are set in the information files, so that screening and classified viewing of enterprise operation information are realized at the server, for example, the dynamic labels are respectively set for the API, the data set and the sandbox, and then three types of information are respectively viewed at the server through label selection operation.
In this embodiment, after the user target qualification information is judged, the information file is established, so that the relevant data is supervised and traced.
When the data acquisition type is the institution type, the basic information of the institution can be recorded in the corresponding institution information file established by the server, wherein the basic information comprises the medical institution name, registration information, the number of people, the institution registration, the number of people in the office of the institution, the address of the institution, the administrative area of the institution, the contact mode and the attribute of the institution; the organization information file also records organization operation information, including data use application, API subscription, data set subscription, sandbox subscription, API log, etc. of the organization.
When the data acquisition type is the item type, the corresponding item information file established by the server can record item basic information, including an item name, an item start-stop time, a data use unit, an item number, an item sponsor and an item sponsor phone; project operation information is also recorded in the project information files, including data use applications, API subscriptions, data set subscriptions, sandbox subscriptions, API logs, and the like.
When the data acquisition type is a team type, the team basic information can be recorded in the corresponding team information file established by the server side, wherein the team basic information comprises a team name, a contact name, a telephone, a patent acquired by a team, a prize, a national topic, a provincial topic and a team member list; team operation information is recorded in the team information file, including data use applications, API subscriptions, dataset subscriptions, sandbox subscriptions, API logs, and the like.
It should be noted that, similar to the enterprise information files, in the above three files, corresponding dynamic tags may also be set based on the organization operation information, the project operation information and the team operation information, so as to realize screening and classified viewing of related information, which is not described herein in detail in this disclosure.
When the data acquisition type is a personal type, the personal basic information including name, gender, birth year and month, party, highest school, technical title, professional field, highest level, contact phone, mailbox and the like can be recorded in the corresponding personal information file established by the server; the personal information file also records personal related information, including business handling information, account authentication information, account authorization start and stop time, associated business, associated project, associated team, associated organization, associated achievement and the like. Furthermore, the dynamic tag can be set in the personal information file at least based on account status, enterprise status and business status.
When the data acquisition type is a service type, the service name, the service number, the service scene, the belonging industry, the service start-stop time and the service use data range can be recorded in the corresponding service information file established by the server; the service information file also records service related information, including service details, service current state, service associated project number, service associated use unit number, service sharing open mode, service operation report and service usage ranking. Further, dynamic tags may be set in the traffic information profile based at least on traffic status.
Optionally, determining information files corresponding to each data acquisition type respectively, and setting at least one configuration item to be edited in each information file; when the configuration of the access right for the target client is detected, determining a target information file according to target qualification information corresponding to the target client, and importing target content corresponding to at least one configuration item to be edited associated with the target information file.
In the description of the case where the data acquisition type is an enterprise type, when a corresponding enterprise information file is established for the enterprise type, a configuration item to be edited needs to be determined first. After the configuration of the access right for the target client is detected, the content corresponding to the configuration item to be edited can be determined in the target qualification proof information provided by the user through a field extraction mode, for example, the enterprise name, the enterprise legal person and the registration address are extracted from the enterprise business license, and the information can be imported into the enterprise information file as target content after the information is extracted. It is understood that the target content corresponding to the configuration item to be edited is directly decided by the target qualification information provided by the user.
Optionally, when the number of the information files is at least two, a hyperlink relation between the same configuration items to be edited in the information files is established.
In practical application engineering, due to the complexity of data acquisition parameters, information in multiple aspects can be determined based on target qualification information provided by a user, for example, not only basic information of an enterprise can be determined through the target qualification information, but also basic information of a project can be obtained, and at the moment, a server side can respectively establish corresponding information files based on the two basic information, so that data monitoring in multiple dimensions is realized.
Furthermore, for the established information files in multiple aspects, the server may set a hyperlink relationship between each configuration item of the files, for example, in the team information file, by clicking on a project name provided in the team basic information, the server may jump to the project information file, and it should be understood by those skilled in the art that, in a reasonable association range, the hyperlink relationship may be established between the same configuration items of the six types of information files, so as to facilitate the comprehensive monitoring of the health medical big data by the server, and further enhance convenience and usability of the server.
It should be noted that, in this embodiment, the server may perform statistical analysis on the big data of health care, and specifically, may display the progress situation of data sharing based on multiple dimensions such as administrative regions, time, users, and the like. Meanwhile, based on the data access condition of at least one user, the server may also output a data management report associated with the target supervision data, such as a data governance report, a data development report, a data quality report, etc., in the form of a graph.
According to the technical scheme, the health medical big data are collected from various institutions, so that the convergence of the health medical data is realized; the strict auditing of the user data access request is realized through the matching of the qualification proving information to be matched and the target qualification proving information; after successful user qualification authentication, information files are established from multiple aspects, so that supervision and tracing of related data are realized; and a hyperlink relation is established among the configuration items with the same information files, so that convenience and usability of the server side are further enhanced.
Example III
As an alternative embodiment of the foregoing embodiment, fig. 3 is a design and construction diagram of a comprehensive supervision system based on operation of big data service of health medical treatment according to a third embodiment of the present invention. For the sake of clearly describing the technical solution of the present embodiment, an application scenario may be described by taking a situation that the integrated supervisory system is used to monitor big health medical data as an example, but the present invention is not limited to the above scenario, and may be applied to various scenarios that need to monitor big data.
Referring to fig. 3, in order to improve standardization in the process of sharing and circulating big data in health care, a server side is enabled to realize supervision on multiple services, and the comprehensive supervision system comprises four modules, namely an operation situation module, a unified to-do module, a data supervision 360 module and a statistical analysis module, which are specifically described below.
With continued reference to fig. 3, the system operation situation module is mainly configured to intensively display data aggregation, administration, sharing openness, and service flow status, for example, information such as the number of mechanisms for parameter data aggregation, the number of service systems, the data form, the number of user registration, the number of service audits, and the service approval completion status is displayed in the operation situation module.
With continued reference to fig. 3, the unified to-be-handled module is mainly used for realizing the approval functions of services such as user registration, qualification certification, data application, data use, data export, etc., for example, after a user submits relevant qualification certification information, the qualification certification application can be actively initiated, and a staff at a server can perform preliminary auditing and service auditing of service data based on the received information.
With continued reference to fig. 3, the data supervision 360 module is mainly configured to establish information files from multiple aspects, including enterprise information files, organization information files, project information files, team information files, personal information files, and business information files, and the specific profiling manner and the acquisition of target content are described in detail in the above embodiments, which are not repeated herein. It should be noted that after the establishment of the multiple types of information files is completed, hyperlinks can be established between the same configuration items of each file, and taking fig. 4 as an example, after six types of information files are constructed, an enterprise/organization can be taken as a hierarchy, a project is taken as a hierarchy, a team/person is a hierarchy, and a service is taken as a single hierarchy, based on this, the same configuration items in the six information files can be set up in a layer-by-layer or cross-layer manner, that is, after clicking one configuration item in a certain information file, the information files can be skipped to other information files for viewing, and by setting hyperlinks between the same configuration items, the overall monitoring of big data is realized.
With continued reference to fig. 3, the statistical analysis module mainly shows the open progress of sharing of data from different dimensions of administrative areas, time, users, etc., while also outputting data management reports associated with the target regulatory data, such as data governance reports, data development reports, data quality reports, etc., in the form of a graph.
The beneficial effects of the technical scheme are as follows: the method has the advantages of realizing effective supervision of the process of data sharing, avoiding actions such as data abuse, improving the safety of big healthy medical data, providing a specification for the configuration of data access rights and promoting the development of digitization and intellectualization of a big data system in the medical industry.
Example IV
Fig. 5 is a block diagram of a data management device according to a fourth embodiment of the present invention, which is capable of executing the data management method according to any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 5, the apparatus specifically includes: a data acquisition parameter determination module 310, a data access rights configuration module 320, and a target supervisory data access module 330.
A data acquisition parameter determining module 310, configured to acquire a data acquisition parameter carried in a data access request sent by a target client when the data access request is received; the data acquisition parameters comprise data acquisition types and target qualification proving information.
And a data access right configuration module 320, configured to configure data access rights for the client when the qualification proof information and the data acquisition type satisfy a preset correspondence.
A target supervision data access module 330, configured to access target supervision data corresponding to the data access request in the distributed file system based on the data access rights; wherein, the distributed file system stores health medical data of each user.
On the basis of the technical schemes, the data management device further comprises a data acquisition module to be supervised.
The system comprises a to-be-supervised data acquisition module, a data storage module and a data storage module, wherein the to-be-supervised data acquisition module is used for acquiring to-be-supervised data related to health medical information and storing the to-be-supervised data in a distributed file system; at least one login state component corresponding to reading the distributed file system is set, so that the data acquisition identifier and the user identifier are verified based on the at least one login state component.
Based on the above technical solutions, the data access right configuration module 320 includes a qualification information determining unit to be matched and a data access right configuration unit.
And the to-be-matched qualification information determining unit is used for determining to-be-matched qualification information corresponding to the data acquisition type.
And the data access right configuration unit is used for configuring data access rights for the client when the target qualification information is the qualification information in the qualification information to be matched.
Optionally, the data access authority configuration module 320 is further configured to prompt the user when the qualification proof information and the data acquisition type do not satisfy a preset corresponding relationship.
Based on the technical schemes, the data management device further comprises an information file establishment module.
And the information file establishing module is used for respectively establishing information files based on the data acquisition types so as to record the accessed information of the data of each data acquisition type.
Based on the above technical solutions, the information archive creation module includes an information archive determination unit and a target content import unit.
And the information file determining unit is used for respectively determining the information files corresponding to each data acquisition type and setting at least one configuration item to be edited in each information file.
And the target content importing unit is used for determining a target information file according to target qualification information corresponding to the target client when the configuration of the access right for the target client is detected, and importing target content corresponding to at least one configuration item to be edited associated with the target information file.
On the basis of the technical schemes, the data acquisition type comprises at least one of enterprise type, organization type, project type, team type, personal type and business type.
Optionally, the information file establishing module is further configured to establish a hyperlink relationship between the same configuration items to be edited in the information file when the number of the information files is at least two.
According to the technical scheme provided by the embodiment, when a data access request sent by a target client is received, data acquisition parameters carried in the data access request are acquired firstly, so that qualification information and data acquisition types of users are determined; when the qualification proof information and the data acquisition type meet the preset corresponding relation, the data access authority is configured for the client, the target supervision data corresponding to the data access request in the distributed file system is accessed based on the data access authority, the effective supervision of the process of data sharing is realized, the behaviors of data abuse and the like are avoided, the safety of the healthy medical big data is improved, meanwhile, the specification is provided for the configuration of the data access authority, and the digitization and the intelligent development of the big data system in the medical industry are promoted.
The data management device provided by the embodiment of the invention can execute the data management method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
It should be noted that each unit and module included in the above apparatus are only divided according to the functional logic, but not limited to the above division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the embodiments of the present invention.
Example five
Fig. 6 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention. Fig. 6 shows a block diagram of an exemplary electronic device 40 suitable for use in implementing the embodiments of the present invention. The electronic device 40 shown in fig. 6 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 6, the electronic device 40 is in the form of a general purpose computing device. Components of electronic device 40 may include, but are not limited to: one or more processors or processing units 401, a system memory 402, a bus 403 that connects the various system components (including the system memory 402 and the processing units 401).
Bus 403 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 40 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 40 and includes both volatile and non-volatile media, removable and non-removable media.
The system memory 402 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 404 and/or cache memory 405. Electronic device 40 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 406 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, commonly referred to as a "hard drive"). Although not shown in fig. 6, 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 (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 403 through one or more data medium interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 408 having a set (at least one) of program modules 407 may be stored in, for example, memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 407 generally perform the functions and/or methods of the described embodiments of the invention.
The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboard, pointing device, display 410, etc.), one or more devices that enable a user to interact with the electronic device 40, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 40 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 411. Also, electronic device 40 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 412. As shown, network adapter 412 communicates with other modules of electronic device 40 over bus 403. It should be appreciated that although not shown in fig. 6, other hardware and/or software modules may be used in connection with electronic device 40, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 401 executes various functional applications and data processing by running programs stored in the system memory 402, for example, implements the data management method provided by the embodiment of the present invention.
Example six
A sixth embodiment of the present invention also provides a storage medium containing computer-executable instructions for performing a data management method when executed by a computer processor.
The method comprises the following steps:
when a data access request sent by a target client is received, acquiring data acquisition parameters carried in the data access request; the data acquisition parameters comprise data acquisition types and target qualification proving information;
when the qualification proof information and the data acquisition type meet a preset corresponding relation, configuring data access rights for the client;
accessing target supervision data corresponding to the data access request in the distributed file system based on the data access rights;
wherein, the distributed file system stores health medical data of each user.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
The item code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The project code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (7)
1. A method of data management, comprising:
when a data access request sent by a target client is received, acquiring data acquisition parameters carried in the data access request; the data acquisition parameters comprise data acquisition types and target qualification proving information;
when the qualification proof information and the data acquisition type meet a preset corresponding relation, configuring data access rights for the client;
accessing target supervision data corresponding to the data access request in the distributed file system based on the data access rights;
Wherein, the distributed file system stores health medical data of each user;
wherein, the qualification proof information is information which is obtained according to legal program and represents at least one aspect of the condition of the unit or the personal ability and the level;
when the qualification information and the data acquisition type meet a preset corresponding relation, configuring data access rights for the client, wherein the data access rights comprise:
determining qualification information to be matched corresponding to the data acquisition type;
when the target qualification information is the qualification information in the qualification information to be matched, configuring data access rights for the client;
wherein the data acquisition type comprises at least one of enterprise type, institution type, project type, team type, personal type and business type;
wherein the method further comprises: respectively establishing information files based on the data acquisition types to record the accessed information of the data of each data acquisition type;
the step of respectively establishing information files based on the data acquisition types to record the accessed information of the data of each data acquisition type comprises the following steps: respectively determining information files corresponding to each data acquisition type, and setting at least one configuration item to be edited in each information file; when the configuration of the access right for the target client is detected, determining a target information file according to target qualification information corresponding to the target client, and importing target content corresponding to at least one configuration item to be edited associated with the target information file.
2. The method as recited in claim 1, further comprising:
collecting data to be supervised related to health medical information, and storing the data to be supervised in a distributed file system;
at least one login state component corresponding to reading the distributed file system is set, so that the data acquisition identification and the user identification are verified based on the at least one login state component.
3. The method as recited in claim 1, further comprising:
and prompting the user when the qualification proving information and the data acquisition type do not meet the preset corresponding relation.
4. The method as recited in claim 1, further comprising:
and when the number of the information files is at least two, establishing a hyperlink relation between the same configuration items to be edited in the information files.
5. A data management apparatus, comprising:
the data acquisition parameter determining module is used for acquiring data acquisition parameters carried in a data access request sent by a target client when the data access request is received; the data acquisition parameters comprise data acquisition types and target qualification proving information;
The data access right configuration module is used for configuring data access rights for the client when the qualification proof information and the data acquisition type meet a preset corresponding relation;
the target supervision data access module is used for accessing target supervision data corresponding to the data access request in the distributed file system based on the data access authority; wherein, the distributed file system stores health medical data of each user;
wherein, qualification proof information is information which is obtained according to legal program and represents at least one aspect of the condition of the unit or the personal ability and the level;
the data access authority configuration module comprises: the data access right configuration unit is used for configuring the data access right of the data access unit;
the to-be-matched qualification information determining unit is used for determining to-be-matched qualification information corresponding to the data acquisition type;
the data access right configuration unit is used for configuring data access rights for the client when the target qualification information is the qualification information in the qualification information to be matched;
wherein the data acquisition type comprises at least one of enterprise type, institution type, project type, team type, personal type and business type;
The apparatus further comprises: an information file establishing module;
the information file establishing module is used for respectively establishing information files based on the data acquisition types so as to record the accessed information of the data of each data acquisition type;
the information archive creation module includes: an information archive determination unit and a target content import unit;
the information file determining unit is used for determining information files corresponding to each data acquisition type respectively and setting at least one configuration item to be edited in each information file;
and the target content importing unit is used for determining a target information file according to target qualification information corresponding to the target client when the configuration of the access right for the target client is detected, and importing target content corresponding to at least one configuration item to be edited associated with the target information file.
6. An electronic device, the electronic device comprising:
one or more processors;
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement the data management method of any of claims 1-4.
7. A storage medium containing computer executable instructions for performing the data management method of any of claims 1-4 when executed by a computer processor.
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| CN114328386A (en) * | 2021-12-29 | 2022-04-12 | 北京合思信息技术有限公司 | File management method, device and storage medium |
| CN115103015B (en) * | 2022-06-22 | 2023-10-27 | 泰康保险集团股份有限公司 | Data pushing method and device, electronic equipment and computer readable medium |
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