CN112541692B - Scientific data management plan generation method and device - Google Patents

Abstract

The invention discloses a method and a device for generating a scientific data management plan, which acquire the requirement information of the scientific data management plan; obtaining a planning template of a scene corresponding to the demand information through a pre-constructed semantic knowledge model; if a confirmation instruction for the plan template is received, generating a data item of the plan module; processing the plan template according to the acquired feedback knowledge matched with the data item to obtain a target plan template; if a deleting instruction to the planning module is received, acquiring a target planning module, wherein the target planning module comprises a planning template acquired through a semantic knowledge model or a received custom planning template; and generating a scientific data management plan according to the target plan template, so as to realize the management of scientific data. The invention realizes the selection and the self definition of the templates based on the semantic knowledge model and the template library, improves the management efficiency of data, and establishes an effective and personalized scientific data management plan.

Description

Method and device for generating scientific data management plan

technical field

The invention relates to the technical field of data processing, in particular to a method and device for generating a scientific data management plan.

Background technique

Scientific data has become an important strategic basic resource, and the standardization and effectiveness of scientific data management have attracted more and more attention. The scientific data management plan is an important guiding document for the entire scientific data management work in the process of scientific research. It can effectively help scientific researchers systematically plan data collection, description, storage, analysis, utilization, and convergence in the process of scientific research and scientific research project management. , sharing and other work, as well as arrange personnel roles, cooperation content, quality control and timeliness costs, standardize the scientific data management process while improving scientific research efficiency and promoting the transformation and sharing of results.

Existing scientific data management planning tools (such as DMPonline) are mainly based on question-and-answer methods, and data storage lacks semantic definition, which cannot meet the differentiated needs of data management in different fields of scientific research and projects, making data management inefficient. It is not conducive to establishing an effective and personalized data management system.

Contents of the invention

In view of the above problems, the present invention provides a method and device for generating a scientific data management plan, which realizes the improvement of data management efficiency and the establishment of an effective and personalized scientific data management plan.

In order to achieve the above object, the present invention provides the following technical solutions:

A data processing method applied to scientific data management, comprising:

Obtain information on the needs of a scientific data management plan;

Obtain a planning template of a scenario corresponding to the demand information through a pre-built semantic knowledge model;

If a confirmation instruction for the plan template is received, generate data items of the plan module, where the data items include one of plan question items, plan evaluation items, plan management items, plan save items, and plan preview items, or various;

Processing the plan template according to the obtained feedback knowledge matching the data item to obtain the target plan template;

If a deletion instruction for the plan module is received, the target plan module is obtained, and the target plan template includes a plan template obtained through a semantic knowledge model or a received custom plan template;

A scientific data management plan is generated according to the target plan template, so that the scientific data can be managed through the scientific data management plan.

Optionally, the method also includes:

Build a semantic knowledge model, including:

Establish the basic structure of the elements of the plan, plan steps, and question-and-answer system;

Determine the associated objects of data management, which include one or more of personnel, projects, datasets, data security, data tools, data warehouses, data permissions, and metadata;

Establishing the semantic relationship between the elements in the basic architecture and the associated objects;

Based on the semantic relationship, a semantic knowledge model is generated.

Optionally, the method also includes:

Receive custom plan templates;

According to the semantic knowledge model, the concept and relationship of the self-defined plan template are extended to obtain associated data of the self-defined plan template.

Optionally, when the data items include planning problem items, the method further includes:

Generating components of the planned question items, so that the question description information and answering information for the planned question items are received through the components;

Wherein, the components include first-type components and second-type components, the first-type components are formal components for planning problems, and the second-type components are data components for planning problems.

Optionally, the method also includes:

Responsive to multiple receivers receiving the target plan template, acquiring editing information of each recipient for the target plan template;

According to the time stamp corresponding to the editing information, the version information of the target planning template is generated, so that the editing information of the target planning module matching the version information is obtained through the version information.

Optionally, the method also includes:

Acquiring target data of the demand database based on the data interface of the target plan template;

Using the scientific data management plan to manage the target data to obtain scientific management data.

Optionally, the method also includes:

receiving a setting instruction for plan data, the plan data is data generated according to the target plan template;

Determine the data format of the planning data matching the setting instruction, the data format includes a data output format and a data display format;

Publish the planning data according to the data format.

Optionally, the method also includes:

receiving evaluation information for the target plan template;

According to the evaluation information, the planning template in the semantic knowledge model is corrected.

A scientific data management plan generating device, comprising:

The first acquisition unit is used to acquire the demand information of the scientific data management plan;

The second acquiring unit is used to acquire the planning template of the scene corresponding to the demand information through the pre-built semantic knowledge model;

A first generation unit, configured to generate data items of the planning module if a confirmation instruction for the plan template is received, the data items include plan question items, plan evaluation items, plan management items, plan preservation items, and plans One or more of the preview items;

A processing unit, configured to process the plan template according to the acquired feedback knowledge matching the data item, to obtain a target plan template;

The third obtaining unit is configured to obtain a target plan module if a deletion instruction for the plan module is received, and the target plan template includes a plan template obtained through a semantic knowledge model or a received custom plan template;

The second generating unit is configured to generate a scientific data management plan according to the target plan template, so that the scientific data can be managed through the scientific data management plan.

An electronic device comprising:

memory for storing programs;

A processor, configured to execute the program, and the program is specifically used to implement the method for generating a scientific data management plan as described in any one of the above.

Compared with the prior art, the present invention provides a method and device for generating a scientific data management plan to obtain the demand information of the scientific data management plan; through the pre-built semantic knowledge model, the plan of the scene corresponding to the demand information is obtained Template; if a confirmation instruction for the plan template is received, generate the data item of the plan module; process the plan template according to the obtained feedback knowledge matching the data item to obtain the target plan template ; If a deletion instruction to the planning module is received, the target planning module is obtained, and the target planning template includes a planning template obtained through a semantic knowledge model or a received custom planning template; generating scientific data according to the target planning module A management plan such that scientific data is managed by said scientific data management plan. The invention realizes the selection and customization of templates based on the semantic knowledge model and the template library, improves the management efficiency of data, and establishes an effective and personalized scientific data management plan.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

FIG. 1 is a schematic flowchart of a method for generating a scientific data management plan provided by an embodiment of the present invention;

Fig. 2 is a structure diagram of a scientific data management plan formulation tool provided by an embodiment of the present invention;

Fig. 3 is a schematic diagram of the application field of a scientific data management plan tool according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of a data processing flow based on a semantic knowledge model provided by an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an apparatus for generating a scientific data management plan provided by an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The terms "first" and "second" in the specification and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "comprising" and "having", and any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or apparatus comprising a series of steps or units is not defined by listed steps or units, but may include unlisted steps or units.

A method for generating a scientific data management plan is provided in an embodiment of the present invention. Referring to FIG. 1, the method may include the following steps:

S101. Acquiring demand information of a scientific data management plan.

The demand information of the scientific data management plan refers to the basic information of the scientific data management plan, including the purpose, demand and data-oriented information of the scientific data management technology.

S102. Obtain a planning template of a scenario corresponding to the demand information through a pre-built semantic knowledge model.

Construct a scientific management plan semantic knowledge model to support the intelligent formulation of plan models and data semantic storage. In an embodiment of the present invention, a method for constructing a semantic knowledge model is also provided, including: establishing a basic framework of plans, planning steps, and elements of a question-and-answer system; determining associated objects for data management, and the associated objects include personnel, projects, One or more of datasets, data security, data tools, data warehousing, data permissions, and metadata; establish semantic relationships between elements in the basic architecture and associated objects; generate semantics based on the semantic relationships knowledge model.

Specifically, the semantic knowledge model may include multiple plan templates, that is, multiple templates may be obtained based on the semantic knowledge model, and different plan templates may be selected corresponding to different application scenarios. Application scenarios may include scientific research project management scenarios, scientific research project data management scenarios, and scientific research data management scenarios.

S103. If a confirmation instruction for the plan template is received, generate a data item of the plan module.

The data items include one or more of plan question items, plan evaluation items, plan management items, plan save items and plan preview items.

S104. According to the acquired feedback knowledge matching the data item, process the plan template to obtain a target plan template.

S105. Acquire a target planning module if a deletion instruction for the planning module is received.

The target plan template includes a plan template acquired through a semantic knowledge model or a received custom plan template.

S106. Generate a scientific data management plan according to the target plan template, so that the scientific data can be managed through the scientific data management plan.

Then, a recommended planning template will be generated based on the semantic knowledge model, and the user will confirm whether the recommended planning template can be adopted. If the data item of the corresponding planning template will be generated, the information can be further improved based on the data item, and the obtained complete plan. If the user does not receive the recommended plan template, he can choose to create a new plan template, that is, the user can customize the generated plan template. At this time, what is received is the user's delete instruction for the originally recommended plan template, and then can be based on the semantic knowledge model Regenerate the recommended template, or receive a user-defined plan template, so as to finally determine the target plan template, and then generate a scientific data management plan based on the target plan template. The scientific data management plan can include the conditions and implementation of the scientific data management process Methods and processing procedures, etc., so that scientific data can be planned and managed, and scientific management data can be obtained, data released and shared, and data can also be exported and sent.

In the embodiment of the present invention, flexible data management plans for different scientific research application scenarios and requirements can be formulated. Correspondingly, the data processing method applied to scientific data management in the embodiment of the present invention can be packaged into a scientific data management planning tool to provide effective The scientific data management program customizes the approach and path. include:

For scientific research project management, support project fund managers to formulate and publish project data management plans and submission plan templates, and help project managers to clarify the scientific data lifecycle management and output plans from the start of the funded project to the completion and acceptance of the project arrange.

For data management of scientific research projects, it provides a variety of data management plan templates for scientific and technological projects, supports project undertakers to write work plans for the entire life cycle of scientific data management from project initiation to completion and acceptance, and helps project undertakers formulate plans and standardize project data Management process, improving the efficiency of project declaration and scientific research data management.

Oriented to scientific research data management, support scientific research users in different fields to carry out scientific data management life cycle work planning in the process of scientific research, formulate personalized data management plans in combination with the characteristics of different disciplines, provide multi-type templates and problem components, and open and shared data management plans , to help scientific research users reuse plan templates and learn data management plan writing experience. Provide collaborative writing and plan dynamic update functions, support research teams to work together to formulate plans and update versions, and effectively improve scientific research efficiency.

In an embodiment of the present invention, a method for constructing a semantic knowledge model is also provided, including:

Establish the basic structure of the elements of the plan, plan steps, and question-and-answer system;

Determine the associated objects of data management, which include one or more of personnel, projects, datasets, data security, data tools, data warehouses, data permissions, and metadata;

Establishing the semantic relationship between the elements in the basic architecture and the associated objects;

Based on the semantic relationship, a semantic knowledge model is generated.

Specifically, the scientific data management plan ontology is constructed as a semantic knowledge model. The model centers on the scientific research management plan and establishes the basic structure of plans, plan steps, questions and answers. At the same time, around the characteristics and associations of the scientific data management life cycle, scientific management is added Relevant objects, including personnel, projects, data sets, ethics, data security, data tools, data warehousing, data permissions, costs, metadata, etc., establish plans, steps, problems and semantic relationships among these important objects, through semantic ontology Modeling establishes the logical framework of scientific data management planning templates, and effectively supports scientific data management planning entity data storage, including data management knowledge base, question base, plan base and template base. Both the concept and relationship of the model support expansion, and the concept and relationship can be extended according to the user-defined new plan template. It can support descriptive question storage and can also support multiple types of questions and answers such as selective, enumerative, and jumping. formulation and storage. The machine-readable semantics of planning data is enhanced through the semantic annotation of questions and the association between concepts and concepts, concepts and entities.

On the basis of different demand scenarios, the tool divides the scientific management plan template into scientific research projects and interest research, and according to the stage of scientific research projects, it is further divided into data management plans in the project application stage and data submission plans in the project data acceptance stage Templates, and prefabricated multiple types of domestic and foreign research funding agencies and data plan templates for efficient release, including scientific data submission plan templates for special projects of national key R&D programs, Chinese Academy of Medical Sciences science and technology project management plan templates, and Chinese Academy of Medical Sciences science and technology project submission templates Scheme templates, DataCurationCenter data management plan templates, science and technology foundation special confluence plan templates, etc., are available for users to choose and apply.

When the data item includes a planned question item, generate the components of the planned question item, so that the question description information and answer information for the planned question item are received through the component; wherein the components include the first type of component and A second-type component, the first-type component is a formal component for planning problems, and the second-type component is a data component for planning problems.

At the same time, it can also support users to face data management needs in different fields, customize scientific data management plan templates according to needs, and support custom plan template structures, including process design, creation and editing of step modules, creation and editing of question descriptions and answer methods, and instructions and introductory words added. Process design, supports the creation of different step modules, and adds multiple question items for each module. Problem items are defined by components in the component library, which includes basic components and commonly used components. Basic components include text boxes, check boxes, radio boxes, file browsers, and more. Commonly used components are commonly used in the process of planning. Based on the existing knowledge base package components, such as data standard retrieval components, data warehouse retrieval components, data license retrieval components and personnel information filling components, etc., are convenient for users to choose. Configure the description and type of each question in the planning form through component selection, determine the question answering method, and define the order of each question and set the jump logic. The tool is able to provide intelligent recommendations step by step based on user-defined template names, planning step modules, and problem descriptions. Generate the most suitable description recommendation for Users can choose from it, intelligently assisting the planning template creation process. The planning process execution of the tool is controlled by the planning workflow engine, which is responsible for calling the planning process template, operating according to the command, and executing workflow services, including template service, process service, query service, tracking service, and feedback whether the operation is successful.

In the embodiment of the present invention, plan formulation and dynamic version control of multi-user collaborative scientific data management can also be realized. That is, in response to multiple receivers receiving the target plan template, the edit information of each recipient for the target plan template is obtained; according to the timestamp corresponding to the edit information, the version information of the target plan template is generated, so that The editing information of the target planning module matching the version information is obtained through the version information.

Specifically, the scientific research data management plan is usually created by the scientific research project team and requires the cooperation of multiple people to complete, and the data management plan is not a static text, but a dynamic document that needs to be dynamically adjusted according to the actual situation and needs of the scientific research process. Therefore, the scientific data management planning tool supports distributed real-time users (such as scientific and technological project team members) to create and edit scientific data management plans collaboratively, and provides plan editing, modification and maintenance functions. Support the update and revision of scientific data management plan content, generate different plan versions based on time stamps, and record edit records to facilitate traceability of plan content and operations.

In the embodiment of the present invention, association and interoperability with other entities in the data management system can also be established. For example, when data access to other databases is required, the target data of the demand database can be obtained based on the data interface of the target plan template; The target data processes the scientific data to obtain scientific management data. Automatic editing and processing of information in multiple processes of data management plan formulation, editing, review, management and release can be realized based on the target plan template. Specifically, the formulation, editing, review, management, and release of data management plans involve multiple institutions or systems, including project managers, institution managers, scientific research workers, plan formulation collaborators, data warehouses, and hardware environment support parties. Data management planning tools are embedded in content knowledge bases covering domestic and foreign data standards, data warehousing, data licensing, data tools, etc., and to a certain extent, identifiers and controllable vocabulary are embedded to support users to search, select, plan and guarantee content. relatively normative. At the same time, it supports sending emails or providing interfaces to existing data warehousing and data management personnel, so that scientific data management planning tools can effectively associate and interoperate with stakeholders and systems in other data management ecosystems.

In the embodiment of the present invention, the data format of the plan data can also be customized, so as to realize the customization of the format of plan export and the published mode. Correspondingly, the scientific data management plan customization tool can execute the following instructions:

receiving a setting instruction for plan data, the plan data is data generated according to the target plan template;

Determine the data format of the planning data matching the setting instruction, the data format includes a data output format and a data display format;

Publish the planning data according to the data format.

That is, the scientific data management plan formulation tool supports the export of scientific data management plan templates and plans, and supports the generation of scientific data management plans in various formats, including user-understandable PDF and Word formats, and supports machine-readable and understandable JSON formats. Used for data exchange and transmission with different systems. Different personnel take on different roles and tasks in the scientific data management process. After the scientific data management plan is completed, users can flexibly choose multiple methods such as private, specific personnel, or public sharing to publish in the required and appropriate range, and set permissions for different personnel. Such as edit and read-only permissions.

Correspondingly, the data management planning tool can implement the following steps when implementing the data processing method applied to scientific data management:

receiving evaluation information for the target plan template;

According to the evaluation information, the planning template in the semantic knowledge model is corrected.

The data management plan formulation tool provides completeness assessment of data filling for all plan formulations to help users understand the completion of the plan. It also establishes a scientific data management plan evaluation indicator library, provides different evaluation methods for specific problem templates, provides users with scientific data management plan evaluations for different plan objectives, and provides evaluation results to help users better complete plan writing.

Referring to FIG. 2 , it shows a structure diagram of a scientific data management plan formulation tool provided by an embodiment of the present invention, which includes an operation assurance system, a security assurance system, and a standard specification system. Correspondingly, it can include template library, component library, question library, plan library, knowledge base, user library, network, storage, computing and operating system, which can realize user information registration and management, quick access to data management plans for multiple scientific research scenarios, and data Management plan creation, data management plan evaluation, multi-type data management plan document export, data management plan template customization, template creation and intelligent recommendation for template selection, data management plan template browsing and retrieval, data management plan browsing and retrieval, data management plan publishing and Sharing, data management plan information management, plan template information management, semantic knowledge model maintenance, template library, question library and knowledge base management, data management plan release authority management, data management plan version management, plan template version management, workflow configuration and Workflow engine, data management plan evaluation indicator calculation, user role and permission management. The tool also includes a scientific data management program workflow engine and a scientific data management program semantic knowledge model.

Referring to FIG. 3 , it shows a schematic diagram of an application field of a scientific data management planning tool according to an embodiment of the present invention. Data center managers can send collection, approval and management data management plans to scientific data management tools, scientific data management tools can send plan approval to domain experts, provide data storage/computing conditions to infrastructure providers, and ethical Approvals are sent to ethics reviewers, stored data is sent to data warehouses, and browsing and query plans are sent to public users. Can receive plan templates and plan approvals specified and released by project self-help personnel, receive data planners to create, manage, submit and release data management plans, and receive immediate plan-making collaborators to jointly create data management plans.

Referring to FIG. 4, it shows a schematic diagram of a data processing flow based on a semantic knowledge model provided by an embodiment of the present invention. The semantic knowledge model includes a knowledge base, a question base and a template base, which are obtained by filling in information and planning template semantic analysis and calculation. The plan recommends templates to recommend templates. That is, after receiving the basic information of the scientific data management plan, relevant plan templates will be recommended. If the user accepts the recommendation module, the recommendation plan template will be used to fill in the plan questions, browse the plan, save the plan, manage the plan, and then send the plan to the project sponsor or data center for review. If the recommended template is not accepted, a prompt message will be generated whether to create a new template. If no new template is created, other existing plan templates will be used. If so, a custom plan template will be created, and then the custom plan template will be saved to the semantic knowledge model , and use a custom plan template. Generate plans based on finalized custom plan templates. When planning to release, you can choose public release or private release, and public release can further select designated personnel and rights sharing, or open sharing. It can also export the scientific data management plan, which can be in word form, PDF form, or JSON format.

The data processing method provided based on the embodiment of the present invention can realize:

(1) User registration and user information management

The tool supports project funders/managers, data submitters and other types of users to register accounts. The user information filled in the registration includes registration and editing functions of basic information such as organization, name, gender, etc., provides verification of the validity of registration information, and provides user information management.

(2) Semantic knowledge model maintenance and data storage management

Stores and maintains the semantic knowledge models of scientific data management initiatives, providing model editing, modification, and on-demand extensions. The semantic knowledge model supports the structural guidance and construction of the template database, question database and data management-related knowledge base, and provides semantic associations. On the other hand, content updates and content analysis through template libraries and knowledge bases can be used to optimize and enrich concepts and semantic relationships between concepts in the semantic knowledge model of scientific data management programs.

(3) Template library, question library and knowledge base management

Template library management supports template information storage and management, including plan template number, template structure, template description, etc. The question bank mainly stores information such as template question numbers, question descriptions, question guides, and templates where questions are located, and is associated with the template library. The knowledge base focuses on the collection and storage of relevant entity information in the scientific data management lifecycle, including domestic and foreign data standards, data warehousing, data licensing, and data tools, to support the intelligent creation of plan templates and enrich plan services. The prefabricated plan template is embedded in the steps of basic resource and computing resource configuration, ethical approval, storage method, plan submission and release, etc. It can cooperate with basic resource service providers, ethics committees, national data centers, data warehouses, project funding agencies, and plan co-creators The association and communication methods of different parties support machine-readable data interfaces.

(4) Plan and template information management and maintenance

The tool provides a complete list of plans and templates that users have formulated and used, and supports the management and maintenance of plans and templates, including functions such as plan and template information list browsing, detailed viewing, plan editing, plan modification, plan release, and plan export. . Record the creation information, version information, update information, operation information and editor information of plans and templates to facilitate data traceability.

(5) Plan template creation and smart template recommendation

Template editor supports dynamic template creation. The editor includes planning step module, planning component library, and planning editing area. To plan template editing, first select the template type and define the template name. An existing template can be selected to reuse the template structure and questions. To create new template structures, the tool supports step module creation, and supports module and question creation through the template library and question library. Each module can create multiple questions or descriptions, and each question creation is realized through the planning component library. The component library provides various component types, such as text box, radio, check, etc. Question creation, the tool finds similar questions from the existing question database by inputting the module name and question description from the user, and provides intelligent recommendations for modules and questions through semantic matching and calculation, which is the best description of this question. The editor supports settings such as question sorting and jumping. Support existing templates in the template library to be edited and modified to form and save as a new planning template. Technology project release

(6) Evaluation of scientific data management plan

The tool provides plan completeness assessment to help users understand the completeness of plan filling. At the same time, according to the FAIR principles released internationally, the scientific data management evaluation standards issued by my country, and the scientific data management plan requirements proposed by science and technology projects, etc., formulate plan templates for different needs, and fill in the scientific data management plan according to the template target requirements Content is evaluated and scored. It has evaluation frameworks and indicator libraries of different dimensions to help users better complete scientific data management plans for scientific research projects and scientific research.

(7) Quick access to application scenarios and retrieval and browsing of plans and templates

Facing the three application scenarios of China's scientific research project management funding, scientific research project data management and scientific research, it provides plan and template browsing and retrieval entrances to meet different needs. Provides various search functions, including advanced search and basic search, provides various plans and template classifications and multi-dimensional browsing navigation.

(8) Plan creation and version update based on guidance and intelligent knowledge recommendation

The tool provides users with plan creation guidance, helping users select a target template and complete the plan. The user first fills in the basic information of the project or research, and the tool performs semantic analysis based on the content filled in by the user, and recommends a plan template related to the demand. The tool provides a WEB-based multi-type scientific data management plan formulation interface, and supports users to select prefabricated or user-shared existing templates in the tool for plan creation, and also supports users to select custom templates for plan creation. The plan created using the tool’s prefabricated planning template provides more detailed planning steps, content instructions and guide descriptions, and provides a variety of question answering types. The prefabrication is based on knowledge bases such as data warehousing, data standards, data centers, and data licensing. The encapsulated components can effectively recommend and choose for users when making plans, reduce the difficulty of users' understanding and selection, and improve the efficiency of plan creation. Created plans can be edited, modified and published. The plan release function supports setting plan sharing scope, including setting the scope of personnel and usage rights for plan use. Users with editing rights can cooperate in plan editing and modification. Users with read-only permissions can only read plans. The tool supports scheduling content updates and provides timestamp-based version information management.

Referring to Fig. 5, it shows a scientific data management plan generation device provided by an embodiment of the present invention, including:

The first obtaining unit 10 is used to obtain the demand information of the scientific data management plan;

The second acquiring unit 20 is configured to acquire a planning template of a scenario corresponding to the demand information through a pre-built semantic knowledge model;

The first generation unit 30 is configured to generate the data items of the planning module if a confirmation instruction for the plan template is received, the data items include plan question items, plan evaluation items, plan management items, plan preservation items and One or more of the planned preview items;

A processing unit 40, configured to process the plan template according to the acquired feedback knowledge matching the data item, to obtain a target plan template;

The third obtaining unit 50 is configured to obtain a target plan module if a deletion instruction for the plan module is received, and the target plan template includes a plan template obtained through a semantic knowledge model or a received custom plan template;

The second generating unit 60 is configured to generate a scientific data management plan according to the target plan template, so that the scientific data can be managed through the scientific data management plan.

On the basis of the foregoing embodiments, the device also includes:

The construction unit is used to construct the semantic knowledge model, and the construction unit is specifically used for:

Establish the basic structure of the elements of the plan, plan steps, and question-and-answer system;

Determine the associated objects of data management, which include one or more of personnel, projects, datasets, data security, data tools, data warehouses, data permissions, and metadata;

Establishing the semantic relationship between the elements in the basic architecture and the associated objects;

Based on the semantic relationship, a semantic knowledge model is generated.

On the basis of the foregoing embodiments, the device also includes:

Receiving unit for receiving custom plan templates;

An extension unit, configured to extend the concepts and relationships of the custom plan template according to the semantic knowledge model, and obtain associated data of the custom plan template.

Optionally, the device also includes:

A component generation unit, configured to generate components of the planned question items, so that the components receive question description information and answer information for the planned question items;

Wherein, the components include a first-type component and a second-type component, the first-type component is a formal component for planning problems, and the second-type component is a data component for planning problems.

On the basis of the foregoing embodiments, the device also includes:

A fourth acquiring unit, configured to acquire editing information of each receiver for the target plan template in response to multiple recipients receiving the target plan template;

The version generation unit is configured to generate version information of the target plan template according to the time stamp corresponding to the edit information, so that the edit information of the target plan module matching the version information is obtained through the version information.

Optionally, the device further includes a management unit configured to:

Based on the data interface of the target plan template, the target data of the demand database is obtained; the target data is managed by using the scientific data management plan to obtain scientific management data.

Optionally, the device also includes:

An instruction receiving unit, configured to receive a setting instruction for plan data, the plan data is data generated according to the target plan template;

a format determination unit, configured to determine the data format of the plan data matching the setting instruction, the data format includes a data output format and a data display format;

An issuing unit, configured to issue the planning data according to the data format.

Optionally, the device also includes:

An evaluation receiving unit, configured to receive evaluation information for the target plan template;

A revising unit, configured to revise the plan template in the semantic knowledge model according to the evaluation information.

Based on the foregoing embodiments, the embodiments of the present application provide a computer-readable storage medium, where one or more programs are stored on the computer-readable storage medium, and the one or more programs can be executed by one or more processors to realize Steps as in any of the above methods for generating a scientific data management plan.

An embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the scientific data realized when the processor executes the program Steps in the management plan generation method.

It should be noted that the above-mentioned processor or CPU may be an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a digital signal processor (Digital Signal Processor, DSP), a digital signal processing device (Digital Signal Processing Device, DSPD), or At least one of programmable logic device (Programmable Logic Device, PLD), field programmable gate array (Field Programmable GateArray, FPGA), central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor . It can be understood that the electronic device implementing the above processor function may also be other, which is not specifically limited in this embodiment of the present application.

It should be noted that the above-mentioned computer storage medium/memory can be a read-only memory (Read Only Memory, ROM), a programmable read-only memory (Programmable Read-Only Memory, PROM), an erasable programmable read-only memory (Erasable Programmable Read -Only Memory, EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Magnetic Random Access Memory (Ferromagnetic Random Access Memory, FRAM), Flash Memory (Flash Memory), Memory such as magnetic surface memory, optical disc, or CD-ROM (Compact Disc Read-Only Memory, CD-ROM); it can also be various terminals including one or any combination of the above-mentioned memories, such as mobile phones, computers, tablet devices, Personal digital assistants and more.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods may be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or May be integrated into another system, or some features may be ignored, or not implemented. In addition, the coupling, or direct coupling, or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical or other forms of.

The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units; Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application can be integrated into one processing module, or each unit can be used as a single unit, or two or more units can be integrated into one unit; the above-mentioned integration The unit can be realized in the form of hardware or in the form of hardware plus software functional unit. Those of ordinary skill in the art can understand that all or part of the steps to realize the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the Including the steps of the foregoing method embodiments; and the aforementioned storage medium includes: various A medium on which program code can be stored.

The methods disclosed in several method embodiments provided in this application can be combined arbitrarily to obtain new method embodiments under the condition of no conflict.

The features disclosed in several product embodiments provided in this application can be combined arbitrarily without conflict to obtain new product embodiments.

The features disclosed in several method or device embodiments provided in this application can be combined arbitrarily without conflict to obtain new method embodiments or device embodiments.

The above is only a specific implementation of the application, but the scope of protection of the application is not limited thereto. Anyone familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the application. Should be covered within the protection scope of this application. Therefore, the protection scope of the present application should be determined by the protection scope of the claims.

Claims (9)

1. A scientific data management plan generation method, characterized by comprising:

acquiring demand information of a scientific data management plan;

obtaining a planning template of a scene corresponding to the requirement information through a pre-constructed semantic knowledge model;

generating a data item of the plan module if a confirmation instruction of the plan template is received, wherein the data item comprises one or more of a plan problem item, a plan evaluation item, a plan management item, a plan storage item and a plan preview item;

Processing the plan template according to the acquired feedback knowledge matched with the data item to obtain a target plan template;

if a deleting instruction for the planning module is received, acquiring a target planning module, wherein the target planning module comprises a planning template acquired through a semantic knowledge model or a received custom planning template;

generating a scientific data management plan according to the target plan template so as to manage scientific data through the scientific data management plan;

wherein, the construction of the semantic knowledge model comprises the following steps: establishing a plan, a planning step and a basic framework of elements of a question-answer system; determining an associated object for data management, the associated object comprising one or more of personnel, items, data sets, data security, data tools, data warehousing, data permissions, and metadata; establishing a semantic relation between elements in the basic framework and the associated objects; and generating a semantic knowledge model based on the semantic relation.

2. The method according to claim 1, wherein the method further comprises:

receiving a custom plan template;

and carrying out concept and relation expansion on the custom plan template according to the semantic knowledge model to obtain associated data of the custom plan template.

3. The method of claim 1, wherein when the data item comprises a plan problem item, the method further comprises:

generating a component of the plan question item, so that question description information and answer mode information aiming at the plan question item are received through the component;

wherein the components include a first type of component that is a formal component for the planning problem and a second type of component that is a component for the planning problem data.

4. The method according to claim 1, wherein the method further comprises:

responding to the receiving of the target plan template by a plurality of receivers, and acquiring editing information of each receiver aiming at the target plan template;

and generating version information of the target plan template according to the timestamp corresponding to the editing information, so that the editing information of the target plan module matched with the version information is obtained through the version information.

5. The method according to claim 1, wherein the method further comprises:

acquiring target data of a demand database based on a data interface of the target planning template;

And managing the target data by using the scientific data management plan to obtain scientific management data.

6. The method according to claim 1, wherein the method further comprises:

receiving a setting instruction for planning data, wherein the planning data is generated according to a target planning template;

determining a data format of the planning data matched with the setting instruction, wherein the data format comprises a data output format and a data display format;

and publishing the planning data according to the data format.

7. The method according to claim 1, wherein the method further comprises:

receiving evaluation information for the target plan template;

and correcting the planning template in the semantic knowledge model according to the evaluation information.

8. A scientific data management plan generating apparatus for implementing the scientific data management plan generating method according to any one of claims 1 to 7, characterized by comprising:

the first acquisition unit is used for acquiring the requirement information of the scientific data management plan;

the second acquisition unit is used for acquiring a planning template of a scene corresponding to the requirement information through a pre-constructed semantic knowledge model;

The first generation unit is used for generating data items of the plan module if a confirmation instruction of the plan template is received, wherein the data items comprise one or more of a plan problem item, a plan evaluation item, a plan management item, a plan storage item and a plan preview item;

the processing unit is used for processing the plan template according to the acquired feedback knowledge matched with the data item to obtain a target plan template;

the third acquisition unit is used for acquiring a target plan module if a deletion instruction of the plan module is received, wherein the target plan module comprises a plan template acquired through a semantic knowledge model or a received custom plan template;

and the second generation unit is used for generating a scientific data management plan according to the target plan template so as to manage the scientific data through the scientific data management plan.

9. An electronic device, comprising:

a memory for storing a program;

a processor for executing the program, in particular for implementing the scientific data management plan generation method according to any one of claims 1 to 7.