CN114996608A

CN114996608A - Data quality score card creating method and device for data product

Info

Publication number: CN114996608A
Application number: CN202210654222.XA
Authority: CN
Inventors: 谷海林; 郑建全
Original assignee: Huakong Tsingjiao Information Technology Beijing Co Ltd
Current assignee: Huakong Tsingjiao Information Technology Beijing Co Ltd
Priority date: 2022-06-10
Filing date: 2022-06-10
Publication date: 2022-09-02

Abstract

The application discloses a data quality score card creating method and device for data products, relating to the technical field of multi-party secure computing and the technical field of data transaction, comprising the following steps: displaying a score card establishing page, wherein the score card establishing page comprises rule category options, and the rule category options comprise a plaintext rule option and a ciphertext rule option; displaying each scoring rule for selection based on the selected rule category option, wherein each scoring rule for selection is each plaintext scoring rule when the plaintext rule option is selected, and each scoring rule for selection is each ciphertext scoring rule when the ciphertext rule option is selected; and creating a data quality scoring card according to the selected scoring rules. By adopting the scheme, the data quality evaluation card capable of objectively evaluating the data product can be more flexibly established.

Description

Data quality score card creation method and device for data product

Technical Field

The application relates to the technical field of multi-party secure computing and the technical field of data transaction, in particular to a data quality score card creating method and device for a data product.

Background

The multi-party secure computing (MPC) can realize the sharing of private data on the premise of protecting personal private information. MPC refers to a group of mutually untrusted participants that can perform cooperative computation while protecting personal privacy. MPCs need to ensure independence of input data, accuracy of delivered data, correctness of the computational process, while not being able to reveal private data of an individual to other participants.

Privacy-Preserving Computing (Privacy-Preserving Computing) refers to the implementation of data value analysis and mining on the premise of protecting Privacy information, that is, the implementation of data Computing in an encrypted and non-transparent state is implemented to protect the security of Privacy information of each participant. The privacy protection computing technology can be applied to multi-party security computing.

Based on multi-party security calculation and privacy protection calculation, data becomes a more valuable product, and therefore, in practical application, a novel data transaction platform for transacting data products is created.

The novel data transaction platform is positioned to meet the requirements of various customers on exemption from responsibility and compliance, and the supporting technology for realizing data circulation through the platform is used for constructing an infrastructure for data supervision. Cipher text data processing after cryptology encryption is realized by applying a multi-party security computing technology, and the data product is effectively separated from the specific use value of the data, so that 'the data is available and invisible'. The use value of the data is accurately limited to a specific algorithm and the use times by using a calculation contract, the use and the use amount of the data are specified, the purpose and the mode of the use of the data are controlled, and the purpose and the mode of using the data are controlled, so that the purpose of using the controllable and measurable data is realized.

At present, the demand of data pricing in the industry is extremely high, and the data element circulation and the data transaction are restricted due to the lack of reasonable pricing mechanism and rule guiding rule of the data. The current pricing theory and method of data are messy and complicated, and there is no clear target and corresponding landing realization method. Data pricing in a given scenario lacks a straightforward elaboration and a convincing pricing model mechanism.

In practical application, a scoring mechanism capable of reflecting the value of a data product is usually customized and unchangeable by a platform or a data holder, so that the value of the data product cannot be evaluated more flexibly and objectively.

Disclosure of Invention

The embodiment of the application provides a data quality score card creating method and device for a data product, and aims to solve the problem that the value of the data product cannot be evaluated more flexibly and objectively in the prior art.

The embodiment of the application provides a data quality score card creating method for a data product, which comprises the following steps:

displaying a score card establishing page, wherein the score card establishing page comprises rule category options, and the rule category options comprise plaintext rule options and ciphertext rule options;

displaying each scoring rule for selection based on the selected rule category option, wherein each scoring rule for selection is each plaintext scoring rule when the plaintext rule option is selected, and each scoring rule for selection is each ciphertext scoring rule when the ciphertext rule option is selected;

and creating a data quality scoring card according to the selected scoring rules.

Further, after displaying each scoring rule for selection based on the selected rule category option, the method further includes:

and when the detail button corresponding to one scoring rule is clicked, displaying the rule detail content of the scoring rule.

Further, the method also comprises the following steps:

displaying a rule self-defining page, wherein the rule self-defining page comprises a rule new button;

when the rule new button is clicked, displaying a rule new page;

and creating a new scoring rule according to the detail content of the rule input in the rule new page.

Further, each created scoring rule, and a corresponding rule check button and a corresponding rule delete button are also included in the rule self-defined page;

after a rule check button corresponding to one scoring rule is clicked, displaying the rule detail content of the scoring rule;

and when a rule deleting button corresponding to one scoring rule is clicked, deleting the scoring rule.

Further, the rule detail content includes: rule category, rule name, rule description, and score interval range.

Further, each plaintext scoring rule for selection comprises at least one of the following scoring rules:

data sample size, data variety, data integrity, data time span, data real-time, data depth, data sample coverage and data scarcity;

each ciphertext scoring rule for selection at least comprises one of the following scoring rules:

data usage, data usage range, data computing resource occupancy, data time, data algorithm type and data optimization requirements.

Further, the created data quality score card includes:

the selected scoring rules, the score interval range of each scoring rule and the score weight of each scoring rule.

An embodiment of the present application further provides a data quality score card creating device for a data product, including:

the page display module is used for displaying a score card establishing page, wherein the score card establishing page comprises rule category options, and the rule category options comprise plaintext rule options and ciphertext rule options;

the rule selection module is used for displaying each scoring rule for selection based on the selected rule category option, when the plaintext rule option is selected, each scoring rule for selection is each plaintext scoring rule, and when the ciphertext rule option is selected, each scoring rule for selection is each ciphertext scoring rule;

and the scoring card creating module is used for creating a data quality scoring card according to each selected scoring rule.

Further, the page display module is further configured to display the rule detail content of one scoring rule after each scoring rule for selection is displayed based on the selected rule category option and after a detail button corresponding to the one scoring rule is clicked.

Further, the page display module is also used for displaying a rule self-defined page, and the rule self-defined page comprises a rule new button; when the rule new button is clicked, displaying a rule new page;

further comprising:

and the rule creating module is used for creating a new scoring rule according to the detail content of the rule input in the rule new page.

the page display module is also used for displaying the rule detail content of one scoring rule after the rule viewing button corresponding to the scoring rule is clicked;

and the rule creating module is also used for deleting the scoring rule after a rule deleting button corresponding to the scoring rule is clicked.

data sample size, data variety, data integrity, data time span, data real-time property, data depth, data sample coverage and data scarcity;

Further, the created data quality score card includes:

Embodiments of the present application further provide an electronic device, including a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor, the processor being caused by the machine-executable instructions to: the data quality scoring card creating method for any data product is realized.

The embodiment of the application also provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method for creating the data quality score card of any data product is realized.

The embodiment of the application also provides a computer program product containing instructions, and when the computer program product runs on a computer, the computer is enabled to execute the data quality score card creation method of any data product.

The beneficial effect of this application includes:

in the method provided by the embodiment of the application, the types of the scoring rules for evaluating the data products are divided into the plaintext rules and the ciphertext rules, and in the process of creating the data quality scoring card, the scoring rules can be displayed for a user or a manager to independently select, so that the data quality scoring card which can evaluate the data products more objectively can be created more flexibly.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application and not to limit the application. In the drawings:

fig. 1 is a flowchart of a data quality score card creation method for a data product according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a score card creation page presented in an embodiment of the present application;

FIG. 3 is a schematic diagram of the details of rules of a scoring rule presented in an embodiment of the present application;

FIG. 4 is a schematic diagram of a rule new page shown in the embodiment of the present application;

FIG. 5 is a schematic diagram of the details of rules of the scoring rules presented in the examples of the present application;

FIG. 6 is a schematic diagram of a deletion scoring rule presented in an embodiment of the present application;

fig. 7-1 is a schematic structural diagram of a data quality score card creation apparatus for a data product according to an embodiment of the present application;

fig. 7-2 is a schematic structural diagram of a data quality score card creation apparatus for a data product according to another embodiment of the present application;

fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to provide a more flexible implementation scheme for creating a data quality score card capable of evaluating a data product more objectively, embodiments of the present application provide a method and an apparatus for creating a data quality score card for a data product, and the following description is made in conjunction with the accompanying drawings of the specification for describing and explaining preferred embodiments of the present application, it should be understood that the preferred embodiments described herein are only used for illustrating and explaining the present application, and are not used for limiting the present application. And the embodiments and features of the embodiments in the present application may be combined with each other without conflict.

The embodiment of the application provides a method for creating a data quality score card of a data product, as shown in fig. 1, the method comprises the following steps:

step 11, displaying a score card creating page, wherein the score card creating page comprises rule category options, and the rule category options comprise plaintext rule options and ciphertext rule options;

step 12, displaying each scoring rule for selection based on the selected rule category option, wherein each scoring rule for selection is each plaintext scoring rule when the plaintext rule option is selected, and each scoring rule for selection is each ciphertext scoring rule when the ciphertext rule option is selected;

and step 13, creating a data quality scoring card according to the selected scoring rules.

In the method provided by the embodiment of the application, the types of the scoring rules for evaluating the data products are divided into the plaintext rules and the ciphertext rules, and in the process of creating the data quality scoring card, the scoring rules can be displayed for a user or a manager to select autonomously, so that the data quality scoring card capable of evaluating the data products more objectively can be created more flexibly.

In an embodiment of the present application, as shown in fig. 2, a page is created for the displayed score card, wherein the page includes a rule category option, the selected rule category option in the page displayed in fig. 2 is a plaintext rule option, i.e., "data quality score card (plaintext transaction)" in fig. 2, and accordingly, each score rule for selection is each plaintext score rule, e.g., "data sample amount", "data variety", and "data integrity" shown in fig. 2, and each score rule corresponds to a rule selection operation button, i.e., "select this rule" shown in fig. 2, and when selected, indicates that the corresponding score rule is selected.

Further, in an embodiment of the present application, as shown in fig. 2, a page further includes a detail button corresponding to each scoring rule, and when the detail button corresponding to one scoring rule is clicked, as shown in fig. 3, rule detail contents of the scoring rule may be displayed, where the displayed rule detail contents may include: rule category, rule name, rule description, and score interval range.

As shown in fig. 2, the score card creation page further includes a "build score card" button, and when clicked, as shown in fig. 3, the score card creation page prompts information on the selected score rules, and when the "create" button is clicked, creates a data quality score card according to the selected score rules.

In an embodiment of the present application, a rule-defined page may also be displayed, where the rule-defined page may include a rule new button, and after the rule new button is clicked, the rule new page is displayed, as shown in fig. 4, a user may input rule detail content in the rule new page according to a prompt, and create a new scoring rule according to the rule detail content input by the user in the rule new page, for example, as shown in fig. 4, a rule category, a rule name, and a rule description of a scoring rule to be created in the rule new page may be input, and a score interval range of the scoring rule may be input.

In an embodiment of the application, the rule self-defining page may further include each created scoring rule, and a corresponding rule viewing button and a corresponding rule deleting button;

when a rule check button corresponding to a scoring rule is clicked, rule detail contents of the scoring rule are displayed, as shown in fig. 5, the displayed rule detail contents may also include: rule category, rule name, rule description and score interval range;

when the rule deleting button corresponding to a scoring rule is clicked, the scoring rule is deleted, as shown in fig. 6.

In the embodiment of the present application, each plaintext scoring rule for selection at least includes one of the following scoring rules:

data sample size, data variety, data integrity, data time span, data real-time property, data depth, data sample coverage and data scarcity, and each plaintext scoring rule is explained in detail as follows:

data sample size: the larger the number of samples, the closer to a full sample, the higher the value of a big data product;

data variety: the method comprises phenotype reporting data, multi-dimensional analysis data and the like, and the data values of different varieties are different;

data integrity: the data with no deletion or small deletion degree has high integrity, and the higher the integrity is, the higher the value is;

data time span: the larger the data time span is, the higher the value is;

data real-time performance: the real-time data can reflect the current condition of the object better than historical data, and the value is higher;

data depth: for certain attribute of certain type of data, the more thorough analysis of the data has higher value;

data sample coverage: the data breadth can be understood, the larger the data dimension is, the higher the sample coverage is, and the higher the data product value is;

data scarcity: generally, the more rare the data, the higher the value.

In the embodiment of the present application, each ciphertext scoring rule for selection at least includes one of the following scoring rules:

the data usage, the data usage amount, the data usage range, the data calculation resource occupation amount, the data time, the data algorithm type and the data optimization requirements are described in detail below:

data usage: the more the use ways or scenes of the data are, the higher the data value is;

data usage: the more the used amount of data is, the higher the data value is;

data usage range: the larger the application range and the breadth of the data are, the higher the data value is;

data calculation resource occupancy: the smaller the data calculation or computing power resource occupation is, the higher the data value is;

when the data is used: the shorter the data time, the higher the efficiency, and the higher the data value;

data algorithm type: the more data algorithm types, the better decoupling performance and the higher data value are shown;

data optimization requirements: the more data optimization requirements, the more mature the landing scene, and the higher the data value.

In this embodiment of the application, the created data quality score card may include:

when the scoring data quality scoring card is used, the selected scoring rules, the score interval range of each scoring rule and the score weight of each scoring rule can also comprise suggested scores given by each scoring rule according to the data products to be equally divided, and the following scoring rules are given as examples, and are detailed in the following table 1:

TABLE 1

Taking the ciphertext scoring rule as an example, see table 2 below:

scoring rules	Value suggestion	Interval range of scores	Score weighting	Suggested score values
					Data usage	The more usage path scenarios, the higher the score	(0-100)	15％	85
Data usage	The greater the number of uses, the different scores	(0-100)	15％	73
					Scope of data usage	The larger the extent of use, the higher the score	(0-100)	10％	27
Computing resource occupancy	The smaller the computing resource occupancy, the higher the score	(0-100)	10％	88
					When the data is used	The shorter the elapsed time, the higher the score	(0-100)	10％	90
Data algorithm type	The more algorithm types, the higher the score	(0-100)	20％	69
					Data optimization requirements	The more optimization demands, the higher the score	(0-100)	20％	65

TABLE 2

In the embodiment of the application, the types of the scoring rules for evaluating the data products are divided into the plaintext rules and the ciphertext rules, and in the process of creating the data quality scoring card, the scoring rules can be displayed for a user or a manager to select autonomously, so that the data quality scoring card capable of evaluating the data products more objectively can be created more flexibly.

In addition, the user-defined scoring rules can be automatically defined according to actual needs, for example, new scoring rules are created, and existing scoring rules are deleted, so that the new scoring rules can be created and used more specifically aiming at new types and new types of data generated in various industries and new algorithms generated in the technical field of multi-party safety computing, and the value of data products can be evaluated more objectively.

In the embodiment of the present application, the created data quality score card may be used to score a data product, and price the data product based on the obtained score, where the correspondence between the score and the price may be detailed in table 2 below:

section number	Interval range of scores	Corresponding price (RMB/Yuan)
			1	(0-10)	1-2
2	(11-20)	3-4
			3	(21-30)	5-6
4	(31-40)	7-8
			5	(41-50)	9-10
6	(51-60)	11-12
			7	(61-70)	13-14
8	(71-80)	15-16
			9	(81-90)	17-18
10	(91-100)	19-20

TABLE 3

The data quality scoring card created by the method can be used for evaluating the value of the data product more objectively, so that the data product can be priced and used for trading the data product according to the scoring of the data product by the data quality scoring card, and a relatively more reasonable price can be made, so that a buyer and a seller of the data product can achieve trading more easily.

Based on the same inventive concept, according to the data quality score card creation method of the data product provided in the foregoing embodiment of the present application, correspondingly, another embodiment of the present application further provides a data quality score card creation device of the data product, a schematic structural diagram of which is shown in fig. 7-1, and specifically includes:

the page display module 71 is configured to display a score card creation page, where the score card creation page includes rule category options, and the rule category options include a plaintext rule option and a ciphertext rule option;

a rule selection module 72, configured to display each scoring rule for selection based on the selected rule category option, where when the plaintext rule option is selected, each scoring rule for selection is each plaintext scoring rule, and when the ciphertext rule option is selected, each scoring rule for selection is each ciphertext scoring rule;

and a scoring card creating module 73, configured to create a data quality scoring card according to each selected scoring rule.

Further, the page display module 71 is further configured to, after displaying each scoring rule for selection based on the selected rule category option, display rule details of one scoring rule after a detail button corresponding to the one scoring rule is clicked.

Further, the page display module 71 is further configured to display a rule-defined page, where the rule-defined page includes a rule new button; when the rule new button is clicked, displaying a rule new page;

as shown in fig. 7-2, further comprising:

and a rule creating module 74, configured to create a new scoring rule according to the detail content of the rule input in the rule new page.

the page display module 71 is further configured to display the rule detail content of one scoring rule after the rule check button corresponding to the scoring rule is clicked;

the rule creating module 74 is further configured to delete a scoring rule after a rule deleting button corresponding to the scoring rule is clicked.

Further, the created data quality score card includes:

The functions of the modules may correspond to the corresponding processing steps in the method flow, and are not described herein again.

The data quality score card creation apparatus provided by the embodiment of the present application may be implemented by a computer program. It should be understood by those skilled in the art that the above-mentioned module division method is only one of many module division methods, and if the module division method is divided into other modules or not divided into modules, it is within the scope of the present application as long as the data quality score card creation apparatus has the above-mentioned functions.

An electronic device is further provided in an embodiment of the present application, as shown in fig. 8, including a processor 81 and a machine-readable storage medium 82, where the machine-readable storage medium 82 stores machine-executable instructions that can be executed by the processor 81, and the processor 81 is caused by the machine-executable instructions to: the data quality scoring card creating method for any data product is realized.

An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the method for creating the data quality score card of any one of the data products is implemented.

The machine-readable storage medium in the electronic device may include a Random Access Memory (RAM) and a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.

The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, the electronic device, the computer-readable storage medium, and the computer program product embodiment, since they are substantially similar to the method embodiment, the description is relatively simple, and in the relevant places, reference may be made to the partial description of the method embodiment.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A method for creating a data quality score card of a data product, comprising:

displaying a score card creating page, wherein the score card creating page comprises rule category options, and the rule category options comprise a plaintext rule option and a ciphertext rule option;

2. The method of claim 1, wherein after presenting the scoring rules for selection based on the selected rule category option, further comprising:

3. The method of claim 1, further comprising:

when the rule new button is clicked, displaying a rule new page;

4. The method of claim 3, wherein each of the created scoring rules, and corresponding rule view and delete buttons, are also included in the rule customization page;

5. A method according to any one of claims 2 to 3, wherein the rule details comprise: rule category, rule name, rule description, and score interval range.

6. The method of claim 1 wherein the plaintext scoring rules for selection comprise at least one of the following scoring rules:

7. The method of claim 1, wherein the data quality score card created comprises:

8. A data quality score card creation apparatus of a data product, comprising:

9. An electronic device comprising a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor, the processor being caused by the machine-executable instructions to: carrying out the method of any one of claims 1 to 7.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1 to 7.