CN113313513A - Data transaction method and device and electronic equipment - Google Patents
Data transaction method and device and electronic equipment Download PDFInfo
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- CN113313513A CN113313513A CN202110575250.8A CN202110575250A CN113313513A CN 113313513 A CN113313513 A CN 113313513A CN 202110575250 A CN202110575250 A CN 202110575250A CN 113313513 A CN113313513 A CN 113313513A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a data transaction method, a device and electronic equipment, wherein the method comprises the steps of receiving data uploaded by a data provider and data description information after ownership verification of the data to be uploaded by the data provider is passed; the uploaded data are checked according to the data description information, and after the data are checked, the uploaded data are stored in a target database and a data index link is generated; receiving the setting operation of a data provider on data use permission and data price; when a public transaction request of a data provider for the uploaded data is received, displaying the data uploaded by the data provider in a selling data display interface according to a preset display mode; when a purchase request of any data purchasing party for the displayed data is received and the transaction price of the data corresponding to the purchase request is determined, a data authorization use commitment book is sent to the data purchasing party; when receiving the signature operation of the data purchasing party on the data authorization use commitment book, providing the corresponding data use permission for the data purchasing party.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data transaction method, a data transaction device and electronic equipment.
Background
With the increasing attention of people on data as an intangible asset, a plurality of big data transaction management platforms are established in sequence, and the perfect data processing flow is very important to the data security in the data transaction management platform. The existing various data transaction management platforms can not provide a perfect management mode, such as lack of identification of data ownership, which causes private data to be stolen and other disorientation clusters, even many platform companies attract ecological partners and investors by monopolizing a large amount of user private data, and everyone faces the monitored and controlled living state of personal privacy exposure, targeted advertisement bombing and the like, so a data transaction mode is urgently needed to be provided to ensure the data owner's power while the data platform is safely circulated.
Disclosure of Invention
Therefore, the invention provides a data transaction method, a data transaction device and electronic equipment, so that the authority of a data owner is guaranteed while the safe circulation of data on a data platform is ensured.
According to a first aspect, an embodiment of the present invention discloses a data transaction method, which is applied to a data management platform, and the method includes: after the ownership verification of the data to be uploaded by the data provider is passed, receiving the data uploaded by the data provider and data description information; the uploaded data are checked according to the data description information, the uploaded data are stored in a target database after the data are checked, a data index link is generated, and a terminal interface corresponding to the data provider is controlled to display data state information and the data index link; receiving the setting operation of the data provider on the data use authority and the data price; when a public transaction request of the data provider for the uploaded data is received, displaying the uploaded data of the data provider in a selling data display interface according to a preset display mode; when a purchase request of any data purchasing party for the displayed data is received and the transaction price of the data corresponding to the purchase request is determined, a data authorization use commitment book is sent to the data purchasing party; and when the signing operation of the data purchasing party on the data authorization use commitment book is received, providing corresponding data use permission for the data purchasing party.
Optionally, the method further comprises: when the selection operation of the data evaluation function by the data provider is received, evaluating the value of the data uploaded by the data provider; generating a market recommended price according to the data value evaluation result; and feeding back the market recommended price to the data provider, so that the data provider carries out data pricing according to the market recommended price.
Optionally, the method further comprises: and when receiving the starting selection operation of the data tracing function by the data provider, storing data transaction information between the data provider and the data buyer into a block chain, wherein the data transaction information comprises the transaction data added with the watermark, transaction party identification information and transaction time.
Optionally, the method further comprises: responding to a buffering time timing operation when a data deleting request of the data provider is received; when a data recovery request of the data provider is received within the preset buffer duration, recovering the deleted data; when the preset buffering duration is exceeded, deleting all backups of the data uploaded by the data provider, and deleting the transacted and traced data copy according to the received selection operation of the data provider; and when the preset buffer duration is exceeded, receiving a data recovery request of the data provider, and responding to prompt information for re-uploading data sent to the data provider.
Optionally, the method further comprises: and carrying out overall process tracking recording on the data uploaded to the data management platform and generating a recording log.
Optionally, the method further comprises: sending a service bill to the data provider according to the service function type selected by the data provider; and starting a corresponding service function according to the payment result of the data provider.
According to a second aspect, an embodiment of the present invention further discloses a data transaction apparatus, applied to a data management platform, the apparatus including: the first receiving module is used for receiving the data uploaded by the data provider and the data description information after the ownership verification of the data to be uploaded by the data provider is passed; the first control module is used for auditing the uploaded data according to the data description information, storing the uploaded data in a target database after the auditing is passed, generating a data index link and controlling a terminal interface corresponding to the data provider to display data state information and the data index link; the second receiving module is used for receiving the setting operation of the data provider on the data use permission and the data price; the display module is used for displaying the data uploaded by the data provider in a data selling display interface according to a preset display mode when receiving a public transaction request of the data provider for the uploaded data; the system comprises a first sending module, a second sending module and a third sending module, wherein the first sending module is used for sending a data authorization use commitment book to a data purchasing party when a purchase request of any data purchasing party for displayed data is received and the transaction price of the data corresponding to the purchase request is determined; and the second control module is used for providing corresponding data use permission for the data purchasing party when receiving the signing operation of the data purchasing party on the data authorization use commitment book.
Optionally, the apparatus further comprises: the evaluation module is used for evaluating the value of the data uploaded by the data provider when the selection operation of the data provider on the data evaluation function is received; the generating module is used for generating a market recommended price according to the data value evaluation result; and the feedback module is used for feeding back the market recommended price to the data provider so that the data provider performs data pricing according to the market recommended price.
According to a third aspect, an embodiment of the present invention further discloses an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the data transaction method of the first aspect or any one of the optional embodiments of the first aspect.
According to a fourth aspect, embodiments of the present invention also disclose a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps of the data transaction method according to the first aspect or any one of the optional embodiments of the first aspect.
The technical scheme of the invention has the following advantages:
the data transaction method/device provided by the invention receives data uploaded by a data provider and data description information after the data ownership is verified, verifies the uploaded data according to the data description information, stores the uploaded data in a target database and generates a data index link after the verification is passed, receives the setting operation of the data provider on data use permission and data price, displays the data uploaded by the data provider in a preset display mode in a data selling display interface when receiving a public transaction request of the data provider on the uploaded data, and sends a data authorization use commitment book to a data buyer when receiving a purchase request of any data buyer on the displayed data and determining the transaction price of the data corresponding to the purchase request; when receiving the signature operation of the data purchasing party on the data authorization use commitment book, providing the corresponding data use permission for the data purchasing party. The data is subjected to public listing transaction after the ownership of the data provider is verified, and the use authority of any data buyer is controlled in a data authorization mode, so that the data is guaranteed to be safely transferred on a data platform, and the right of a data owner is guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a data transaction method in the embodiment of the present invention;
FIG. 2 is a functional block diagram of a specific example of a data transaction device in an embodiment of the present invention;
fig. 3 is a diagram of a specific example of an electronic device in an embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The embodiment of the invention discloses a data transaction method, which is applied to a data management platform and can carry out the right confirmation and safe transaction on various data under the same data management platform, as shown in figure 1, the method comprises the following steps:
For example, before the data provider uses the data management platform to perform data transaction, the data provider first provides real identity information on the data management platform to complete a registration operation, and then logs in the data management platform with a registered obtained account password according to a login entry specified by the data management platform to enter a data uploading interface. After entering the data uploading interface, data ownership can be verified according to preset data ownership verification conditions, and the data ownership verification mode can be verification of a data ownership certificate with legal effectiveness or verification of field information which is contained in the data itself and strongly related to the data provider person or enterprise. After the data ownership verification of the data provider is passed, a protocol for agreeing to an authorization platform to host the data can be sent to the data provider, after the data provider agrees to host, the selected data to be uploaded can be uploaded to a data management platform, and when the data management platform receives the uploaded data, prompt information is displayed on a platform interface, so that the data provider provides data description information corresponding to the data uploaded to the data management platform according to the prompt information of the platform interface for submitting data verification, wherein the data description information can include metadata information of the data.
And 102, auditing the uploaded data according to the data description information, storing the uploaded data in a target database after the auditing is passed, generating a data index link, and controlling a terminal interface corresponding to the data provider to display data state information and the data index link.
For example, the uploaded data may be automatically checked and judged by a human or machine in the background of the platform, if the uploaded data content matches the data description information, the data is passed through the check, the data is stored in the corresponding database in the data management platform, an index link of the data is provided, and a terminal interface corresponding to the data provider is controlled to display updated data state information and data index connection.
And 103, receiving the setting operation of the data provider on the data use authority and the data price.
For example, the data provider may see a list of all uploaded data on a control interface of the data management platform, and the data management platform defaults that all uploaded data are in a private and unpublished state. The data management platform can provide a data usage permission interaction module for a data provider on a current control interface, so that the data provider can set the usage permission of uploaded data in the data usage permission interaction module according to the desire of the data provider, for example, part of data can be openly shared by setting, and conditions for opening sharing can be set, such as the read/write permission of open data, which parts of data are open and which clients are open, and the degree and range of data opening can be limited according to the set conditions or keywords, for example, a target client of a certain type of goods is a single female aged 18-35 years, and the target client can be a client group matched with keywords such as ' single-body female ', ' school girl ' and god ' and the like by setting the opening range of related data of the type of goods; or for data security, the data provider can also choose to randomly obfuscate the original data, so that the data obtained by different data buyers has a certain difference, and the original data cannot be restored by simply combining multiple client data.
The data management platform can provide a price setting interaction module for the data provider on a control interface, so that the data provider can select single fixed pricing or floating pricing through the price setting interaction module, wherein the single fixed pricing represents that the price of data is constant, and the specific amount can be directly provided through the price setting interaction module or evaluated by using a data valuation module provided by the platform according to the subjective intention of the data provider, so that a relatively reasonable market evaluation price is provided; the floating price representation dynamically adjusts the price curve according to the data sales condition, generally, the data price is gradually reduced according to a certain proportion along with the time and the increase of the volume of the deal, and the specific price curve parameters can be provided for a data provider to be set and adjusted. The marginal value of the data is usually gradually increased rather than gradually decreased unlike general physical commodities, and when a data provider can set a single user to purchase the data, the price of unit capacity data is increased along with the increase of the data purchase amount, so that the cost of acquiring the full amount of data by the single user is increased.
And 104, when a public transaction request of the data provider for the uploaded data is received, displaying the uploaded data of the data provider in a data selling display interface according to a preset display mode.
For example, before the data provider conducts public listing transaction on the data, the data can be analyzed and processed by using an algorithm model provided on the platform, the data management platform can provide a part of free open algorithm model so that the data provider can process the uploaded data, and meanwhile, the data management platform also provides other algorithm models which need to be used for payment so that the data provider can further process the uploaded data. If the data provider chooses not to process the data on the data management platform, the processed data needs to be uploaded according to the data uploading process, and the data management platform regards the original data and the processed data as two different data objects. The algorithm model refers to a process of carrying out statistical averaging, smoothing, interpolation, classification, clustering, modeling analysis and other processing on data according to a certain flow to obtain new data. Similar to the data, the algorithm model can also be submitted and listed by the algorithm developer according to the data access and data listing process. The platform can also provide tool components and code interfaces for generating the algorithm model, all users of the platform can generate the own algorithm model by using the tool interfaces, and the generated algorithm model can select whether to be listed for transaction, be freely disclosed or be completely private. And after receiving a public transaction request of the uploaded original data or the processed data from the data provider, displaying the data in a preset display mode in a data selling display interface so that a data buyer can select the required purchased data conveniently, wherein the preset display mode can include table-form display.
And 105, when a purchase request of any data purchasing party for the displayed data is received and the transaction price of the data corresponding to the purchase request is determined, sending a data authorization use commitment book to the data purchasing party.
For example, before the data purchasing party purchases data on the data management platform, the data purchasing party may provide real identity information for platform registration through the registration process of the data provider, and then log in with the unified account password according to the login entry of the platform. The data purchasing party can browse and query interested data or algorithm models in the public branded data market of the data management platform, the data management platform supports the data to be sorted and displayed according to industry categories, browsing frequency, keywords and the like, and the data can be retrieved in a mode of receiving natural language input (such as voice or characters). When a data buyer selects a certain data object to purchase, the buyer can directly trade according to the price or select a price negotiation mode, if the price negotiation mode is selected, the data enters a price negotiation process, and a data provider agreeing party is required to continue the following price negotiation link. The price negotiation flow is a circulation flow, the data purchasing party bids, then the data providing party checks and provides opinions, if the opinions do not pass, the data purchasing party bids, and the data negotiation flow enters a data purchasing party bidding link until the two parties agree to pass or give up the transaction. After the price is determined, a data authorization commitment is sent to the data buyer for use.
And 106, when the signing operation of the data purchasing party on the data authorization use commitment book is received, providing corresponding data use permission for the data purchasing party.
For example, the data usage right provided to the data purchasing party may be preset by the data providing party in advance according to the data usage right purchased by the data purchasing party, and the data purchasing party only needs to pay and download for use according to preset conditions, or the data purchasing party performs further negotiation with the data providing party during the purchasing process, modifies the initial data usage right, and performs data payment and download operations according to the modified usage right.
As an optional embodiment of the present invention, the method further comprises: when the selection operation of the data evaluation function by the data provider is received, evaluating the value of the data uploaded by the data provider; generating a market recommended price according to the data value evaluation result; and feeding back the market recommended price to the data provider, so that the data provider carries out data pricing according to the market recommended price.
For example, when a data provider is unsure of the market price of the data it wants to upload, a data valuation function module may be selected on the data management platform for data value assessment. When the selection operation of the data valuation function by the data provider is received, the authorization of the data provider by the function module can be judged, then the data valuation function module performs deep analysis on the data, including organization structure, completeness, redundancy and practicability of the data, multi-dimensional data value analysis is performed by using a set of standard flow, then a comprehensive value index is obtained, a relatively reasonable market recommended price is fitted according to the relation between the data value index and the bargaining price of the data market, and the market recommended price is returned to the data provider, so that the data provider performs data pricing according to the market recommended price. And meanwhile, related multi-dimensional analysis indexes and comprehensive value indexes are provided. The data estimation function may be trained based on neural network techniques.
As an optional embodiment of the present invention, the method further comprises: and when receiving the starting selection operation of the data tracing function by the data provider, storing data transaction information between the data provider and the data buyer into a block chain, wherein the data transaction information comprises the transaction data added with the watermark, transaction party identification information and transaction time.
For example, to prevent illegal acquisition and distribution utilization of data, a data provider may choose to enable a data tracing function that can track the stream usage of data using block chaining and digital watermarking techniques. The key data transaction information is recorded on the block chain, and even if the data leaves the platform and the block chain is monitored in the using process, the anti-counterfeiting identification of the data can be realized through a specific digital watermarking technology, and the source of the data can be judged to be out of place through local data. This function makes comprehensive pricing dependent on the type and volume of data and requires the data provider to sign disclaimer of failure of data tracking in special cases.
For example, a user a uploads a copy of data to the platform and selects to start the data tracing function, and a user B purchases the data of a through a data transaction process, where the transaction process information (including data information, data transaction party identification information, transaction time and rules, etc.) is recorded on the blockchain. In the future, if the data is found to be used illegally, all buyer and seller (including user A and user B) can be traced back by using the transaction information stored on the blockchain. As to who illegally uses the data, the data can be encrypted in advance by using a digital watermarking technology, and the origin of the data can be restored by using a specific decryption means. For example, the encrypted data content on the hand of the user a is a time source for acquiring the data, the encrypted data content on the hand of the user B is a time source for acquiring the data, and the encrypted content may be: "202103022001 Zhang Sanxxx data asset trading platform", this encrypted content characterizes "Zhang Sanqi obtained data at xxx data asset trading platform at 20 o' clock 01 3/2/2021".
How to confuse the encrypted content into data is not easy to be found, and the encrypted content can be different according to the data types; for example, images and video watermarks can be converted into frequency spectrums by utilizing Fourier transform, then certain frequency spectrum weight coefficients of the images and the video watermarks are subjected to micro correction, and the correction quantity is directly proportional to certain reversible transformation of encrypted contents. If the data is structured data (such as table data), similar frequency domain transformation can be performed on specific fields, and the specific spectrum weights of the fields are slightly corrected, the correction quantity is proportional to some reversible transformation of the encrypted content, and the reversible transformation can be any reversible function, such as linear transformation like y ═ ax + b or nonlinear function like y ═ exp (x).
As an optional embodiment of the present invention, the method further comprises: responding to a buffering time timing operation when a data deleting request of the data provider is received; when a data recovery request of the data provider is received within the preset buffer duration, recovering the deleted data; when the preset buffering duration is exceeded, deleting all backups of the data uploaded by the data provider, and deleting the transacted and traced data copy according to the received selection operation of the data provider; and when the preset buffer duration is exceeded, receiving a data recovery request of the data provider, and responding to prompt information for re-uploading data sent to the data provider.
Illustratively, the data provider needs to pay according to the platform resource and duration occupied by the data from the time of data access, so that the data provider can choose to delete the data when the data provider does not want to use the data or publicly trade the data. In order to facilitate the user to recover data, the data management platform can provide a preset buffer duration, a data provider can send a data recovery request if regret within the duration, and when the platform receives the data recovery request, the data can be rapidly recovered; when the preset buffering duration is exceeded, deleting all backups of the data uploaded by the data provider, and deleting the transacted and traced data copy according to the received selection operation of the data provider; and when the data recovery request is received after the duration is exceeded, the data provider is required to upload the data again according to the data uploading flow. The preset buffer duration is not limited in the embodiment of the application, and can be set autonomously by a data provider or preset by a data management platform.
As an optional embodiment of the present invention, the method further comprises: and carrying out overall process tracking recording on the data uploaded to the data management platform and generating a recording log.
Illustratively, the data management platform performs a whole-process tracking record from the beginning of the data entering platform to the whole process of data processing, transaction and deletion, and the recorded information may include but is not limited to a time stamp, an event, a result, an operator and the like, so as to facilitate the subsequent supervision of the data. Each piece of data is persisted with a full life cycle log, and this portion of the charge can be superimposed as an initial charge on the bill of the data provider.
As an optional embodiment of the present invention, the method further comprises: sending a service bill to the data provider according to the service function type selected by the data provider; and starting a corresponding service function according to the payment result of the data provider.
As a specific embodiment of the present application, it is assumed that the user a has a group of student personal information tables including information such as a school number, a name, an age, a height, a weight, a class, and a score, and a unified account and a password are obtained by registering on the platform, and after logging in the platform, the information table is uploaded according to the data access process, and is stored on the platform in an object storage format and returned to the index link of the user a. The user A chooses to desensitize the data form using a desensitization tool on the platform, such as converting the name field to a fixed length code, adding random perturbations (e.g., +/-1%) to other value fields, and paying the platform tool usage fees according to the data type and volume. And then the user A estimates the data by using a data estimation function module provided by the platform, the data estimation module gives a preliminary estimation result by comparing and analyzing the transaction price of similar data in the existing market, further performs compression check on the data, calculates the total quotation according to the compressed data capacity, and gives an estimation standard to form a report to be pushed to the user A. The user A can give a final quotation according to the quotation standard and the actual situation of the user A, select a floating pricing mode, decrease the quotation according to the time and the transaction times, and hang on the platform for transaction preparation.
And when the user B selects the student information table uploaded by the user A and wants to trade in a negotiation quotation mode, the user B logs in the platform after obtaining the account number and the password as a data purchasing party and browses basic information of data to be sold, wherein the basic information comprises a data name, metadata, description, sample data and the like. And the user B applies for entering a negotiation and quotation channel and gives the quotation and reason of the user B, the user A determines whether to agree with the quotation after checking, if not, the user B returns the user B after giving an opinion, and the user B can enter an actual transaction process until the two parties agree with the quotation. After obtaining the agreement of the negotiation price of the user A, the user B needs to sign a data authorization commitment book to ensure that the data is not obtained or illegally used by a third party, then enters a transaction payment process, and then can download the data to the local, and the data simultaneously enters a console of the user B, and at this time, the user B has all right to the data, and can perform operations such as processing, valuation and the like on the data.
In addition, in a situation of using data by partial authorization, the user a only gives partial rights to the data, such as read-only rights, use rights and the like, and after the user B purchases the data, the data cannot be downloaded to the local, and only enters the console of the user B for limited access and management according to authorization requirements, and any unauthorized operation is not supported.
The user can manage all data owned or purchased by the user on a console on the platform according to a certain catalogue, and the keyword retrieval is supported. Each data is stored with a log record of the whole life cycle, the whole processing and circulation process of the data is recorded, the platform supports multi-dimensional analysis of the log system according to data, users and time, monitoring and alarming are carried out on abnormal transactions and processing behaviors, and the like.
When the data owner user a decides not to use the platform to save the data, the data and various derived data can be deleted at any time except for the part of the total rights transfer (e.g. other users have downloaded to the local). The platform supports the repentance buffer period of a certain time when the user deletes the data, the duration can be set according to the user definition, and the data can not be recovered after the buffer period is exceeded. If the other users who purchase the right of the data part are affected because of the deletion of the data, the corresponding compensation is carried out according to the compensation agreement when the two parties trade the data.
The data flowing out of the platform can be provided with the digital watermark tracked in the whole process according to the requirements of the owner of the original data, so that the identification of the watermark is not influenced by various processing of the data, and the safe and legal utilization of the data is guaranteed. The partial functions belong to data tracing selectable modules, and due to the fact that the existing technical means are limited, the whole effective tracing of the data cannot be completely guaranteed, and therefore a disclaimer protocol for tracing failure under special conditions needs to be signed with a user.
The embodiment of the application manages the data life cycle on the platform by providing a unified data management platform, realizes reasonable distribution of data value, has core functions including data asset value evaluation, a data dynamic pricing system, data authority partial transfer, data life cycle tracking and the like, realizes value-added services such as data value evaluation, desensitization processing and the like while guaranteeing the benefits of all parties, gives a comprehensive value evaluation model aiming at the timeliness, integrity and innovation of data by fully considering the characteristics of data assets and dynamically adjusts according to a certain mode, such as descending according to time and transaction amount and the like, simultaneously controls the whole data transaction process by a data owner, can customize the data transfer authority, has the authority to receive part or all of the authority to give back, and can perform digital watermark binding on downloaded data which is separated from the platform, the identification watermark can be restored after various processing of the data is ensured, and the safe and legal use of the data is ensured.
The embodiment of the invention also discloses a data transaction device, which is applied to a data management platform, and as shown in figure 2, the device comprises:
the first receiving module 201 is configured to receive data uploaded by a data provider and data description information after ownership verification of the data to be uploaded by the data provider passes;
the first control module 202 is configured to audit the uploaded data according to the data description information, store the uploaded data in a target database after the audit is passed, generate a data index link, and control a terminal interface corresponding to the data provider to display data state information and the data index link;
a second receiving module 203, configured to receive a setting operation of a data usage right and a data price by the data provider;
the display module 204 is configured to, when receiving a public transaction request for the uploaded data from the data provider, display the uploaded data from the data provider in a preset display manner in a data selling display interface;
a first sending module 205, configured to send a data authorization usage commitment book to any data purchasing party when a purchase request for the displayed data by the data purchasing party is received and a transaction price of the data corresponding to the purchase request is determined;
and the second control module 206 is used for providing corresponding data use permission for the data purchasing party when receiving the signing operation of the data purchasing party on the data authorization use commitment book.
As an optional embodiment of the present invention, the apparatus further comprises: the evaluation module is used for evaluating the value of the data uploaded by the data provider when the selection operation of the data provider on the data evaluation function is received; the generating module is used for generating a market recommended price according to the data value evaluation result; and the feedback module is used for feeding back the market recommended price to the data provider so that the data provider performs data pricing according to the market recommended price.
As an optional embodiment of the present invention, the apparatus further comprises: and the storage module is used for storing data transaction information between the data provider and the data buyer into a block chain when receiving the starting selection operation of the data tracing function by the data provider, wherein the data transaction information comprises the transaction data added with the watermark, the identification information of the transaction party and the transaction time.
As an optional embodiment of the present invention, the apparatus further comprises: the timing module is used for responding to the buffer time timing operation when receiving a data deleting request of the data provider; the recovery module is used for recovering the deleted data when receiving a data recovery request of the data provider within the preset buffer duration; the deleting module is used for deleting all backups of the data uploaded by the data provider when the preset buffering duration is exceeded, and deleting the transacted and traced data copy according to the received selection operation of the data provider; and the prompting module is used for responding to prompt information for re-uploading data sent to the data provider when receiving a data recovery request of the data provider when the preset buffer duration is exceeded.
As an optional embodiment of the present invention, the apparatus further comprises: and the recording module is used for carrying out overall process tracking recording on the data uploaded to the data management platform and generating a recording log.
As an optional embodiment of the present invention, the method further comprises: the second sending module is used for sending a service bill to the data provider according to the service function type selected by the data provider; and the starting module is used for starting the corresponding service function according to the payment result of the data provider.
An embodiment of the present invention further provides an electronic device, as shown in fig. 3, the electronic device may include a processor 401 and a memory 402, where the processor 401 and the memory 402 may be connected by a bus or in another manner, and fig. 3 takes the connection by the bus as an example.
The memory 402, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the data transaction method in the embodiments of the present invention. The processor 401 executes various functional applications and data processing of the processor by executing non-transitory software programs, instructions and modules stored in the memory 402, that is, implements the data transaction method in the above method embodiment.
The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 401, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 402 may optionally include memory located remotely from processor 401, which may be connected to processor 401 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 402 and, when executed by the processor 401, perform a data transaction method as in the embodiment shown in fig. 1.
The details of the electronic device may be understood with reference to the corresponding related description and effects in the embodiment shown in fig. 1, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A data transaction method is applied to a data management platform, and the method comprises the following steps:
after the ownership verification of the data to be uploaded by the data provider is passed, receiving the data uploaded by the data provider and data description information;
the uploaded data are checked according to the data description information, the uploaded data are stored in a target database after the data are checked, a data index link is generated, and a terminal interface corresponding to the data provider is controlled to display data state information and the data index link;
receiving the setting operation of the data provider on the data use authority and the data price;
when a public transaction request of the data provider for the uploaded data is received, displaying the uploaded data of the data provider in a selling data display interface according to a preset display mode;
when a purchase request of any data purchasing party for the displayed data is received and the transaction price of the data corresponding to the purchase request is determined, a data authorization use commitment book is sent to the data purchasing party;
and when the signing operation of the data purchasing party on the data authorization use commitment book is received, providing corresponding data use permission for the data purchasing party.
2. The method of claim 1, further comprising:
when the selection operation of the data evaluation function by the data provider is received, evaluating the value of the data uploaded by the data provider;
generating a market recommended price according to the data value evaluation result;
and feeding back the market recommended price to the data provider, so that the data provider carries out data pricing according to the market recommended price.
3. The method of claim 1, further comprising:
and when receiving the starting selection operation of the data tracing function by the data provider, storing data transaction information between the data provider and the data buyer into a block chain, wherein the data transaction information comprises the transaction data added with the watermark, transaction party identification information and transaction time.
4. The method of claim 1, further comprising:
responding to a buffering time timing operation when a data deleting request of the data provider is received;
when a data recovery request of the data provider is received within the preset buffer duration, recovering the deleted data;
when the preset buffering duration is exceeded, deleting all backups of the data uploaded by the data provider, and deleting the transacted and traced data copy according to the received selection operation of the data provider;
and when the preset buffer duration is exceeded, receiving a data recovery request of the data provider, and responding to prompt information for re-uploading data sent to the data provider.
5. The method of claim 1, further comprising: and carrying out overall process tracking recording on the data uploaded to the data management platform and generating a recording log.
6. The method according to any one of claims 1-5, further comprising:
sending a service bill to the data provider according to the service function type selected by the data provider;
and starting a corresponding service function according to the payment result of the data provider.
7. A data transaction device, which is applied to a data management platform, the device comprises:
the first receiving module is used for receiving the data uploaded by the data provider and the data description information after the ownership verification of the data to be uploaded by the data provider is passed;
the first control module is used for auditing the uploaded data according to the data description information, storing the uploaded data in a target database after the auditing is passed, generating a data index link and controlling a terminal interface corresponding to the data provider to display data state information and the data index link;
the second receiving module is used for receiving the setting operation of the data provider on the data use permission and the data price;
the display module is used for displaying the data uploaded by the data provider in a data selling display interface according to a preset display mode when receiving a public transaction request of the data provider for the uploaded data;
the system comprises a first sending module, a second sending module and a third sending module, wherein the first sending module is used for sending a data authorization use commitment book to a data purchasing party when a purchase request of any data purchasing party for displayed data is received and the transaction price of the data corresponding to the purchase request is determined;
and the second control module is used for providing corresponding data use permission for the data purchasing party when receiving the signing operation of the data purchasing party on the data authorization use commitment book.
8. The apparatus of claim 7, further comprising:
the evaluation module is used for evaluating the value of the data uploaded by the data provider when the selection operation of the data provider on the data evaluation function is received;
the generating module is used for generating a market recommended price according to the data value evaluation result;
and the feedback module is used for feeding back the market recommended price to the data provider so that the data provider performs data pricing according to the market recommended price.
9. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the data trafficking method of any of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the data transaction method according to any one of claims 1 to 6.
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