JP7473514B2 - Data value evaluation calculation device, data distribution system - Google Patents

Description

The present invention relates to a data value evaluation calculation device and a data distribution system.

Weather data collected using sensors has been exchanged for a long time, but in recent years, attempts to distribute information about individuals have begun. Patent Document 1 discloses an information linkage platform system for linking multiple organizations that each manage customer information including multiple items of information about customers, the linkage platform system having an identification information management unit that manages linkage information that links the organizations for a customer and the item information that links at least one item of information between at least two organizations, a data update registration unit that records data update information indicating the organization, the customer, and the item information when the item information of the customer is updated in one of the organizations, and a notification generation unit that notifies the organization associated with the organization whose item information was updated in the linkage information that the item information of the customer has been updated based on the data update information.

JP 2021-64105 A

The invention described in Patent Document 1 does not reflect the values of the data recipient in the distribution of data.

A data value evaluation calculation device according to a first aspect of the present invention comprises a memory unit in which data quality standard information describing data value standards corresponding to each of a plurality of data users is stored, and a data quality evaluation unit which evaluates distribution data provided from a data provider computer based on the data quality standard information , wherein the distribution data includes a plurality of data items, and the data quality evaluation unit evaluates accuracy based on recency, which is the newness of the information for each data item, credibility, which is the reliability of the information for each data item, and the degree of confirmation of the data item by the data provider operating the data provider computer who sent the distribution data, and the accuracy is calculated as a numerical value, and the data quality evaluation unit calculates the probability for each data item by multiplying the accuracy by a value indicating the reliability of the data provider operating the data provider computer who sent the distribution data.
A data distribution system according to a second aspect of the present invention comprises a data provider computer that transmits distribution data to be evaluated and distributed, and a data value evaluation calculation device that evaluates the distribution data and transmits the distribution data to one or more data users based on the evaluation result, the data value evaluation calculation device comprises a memory unit that stores data quality standard information in which a data value standard corresponding to each of the multiple data users is written, and a data quality evaluation unit that transmits the distribution data that has been evaluated based on the data quality standard information and exceeds a predetermined standard to the data user corresponding to the data quality standard information , the distribution data includes a plurality of data items, the data quality evaluation unit evaluates accuracy based on recency, which is the newness of the information for each data item, credibility, which is the reliability of the information for each data item, and the degree of confirmation of the data item by the data provider operating the data provider computer that transmitted the distribution data, the accuracy is calculated as a numerical value, and the data quality evaluation unit calculates the probability by multiplying the accuracy by a value indicating the reliability of the data provider operating the data provider computer that transmitted the distribution data .

According to the present invention, data can be distributed in a way that reflects the values of the data recipient.

Diagram showing an overview of data trading Overall configuration of the information distribution system FIG. 1 is a diagram showing the configuration of a data quality control computer according to a first embodiment. FIG. 1 is a diagram showing the configuration of a data provider computer according to a first embodiment. FIG. 1 is a diagram showing the configuration of a data user computer according to a first embodiment. An example of a data quality definition table FIG. 13 is a diagram showing an example of an important item table. An example of a data quality criteria table. FIG. 13 is a diagram illustrating an example of a data quality evaluation value table. FIG. 13 is a diagram showing an example of a data confirmation table; A diagram showing an example of a standard data table. Flowchart showing definition table creation processing Flowchart showing evaluation process Time chart showing data quality calculation in information distribution system S FIG. 13 is a diagram showing an example of a data content confirmation screen generated by a data provider computer in the first modified example. FIG. 13 is a diagram showing an example of a receipt confirmation screen displayed on a data user computer in the second modification example. FIG. 13 is a diagram showing an example of a screen displayed on a data provider computer by a suggestion function in the third modification example. FIG. 13 is a block diagram of a data provider computer according to the second embodiment. FIG. 13 is a diagram showing the configuration of a data user computer according to the second embodiment.

-First embodiment-
A first embodiment of an information distribution system will be described below with reference to FIGS.

Figure 1 is a diagram showing an overview of data trading in this embodiment. In this embodiment, four entities appear, as described below. There may be multiple of each entity. The four entities are the data sovereign 2, the data provider 4, the administrator of the data trading market 3 (hereinafter also referred to as the "market administrator"), and the data user 5. However, these four entities may be natural persons, voluntary organizations, or corporations. Furthermore, the processing of each entity described in this embodiment may be performed by each entity through manual operations, or may be performed automatically based on pre-set processing rules.

A data sovereign 2 is a person who provides information about himself/herself to a third party. In this embodiment, the information that the data sovereign 2 provides to a third party is called "circulated data." A data provider 4 is a person who obtains the circulated data from the data sovereign 2 and provides the circulated data to a data user 5. A market administrator is a person who manages the data trading market 3 to which the data provider 4 and the data user 5 have access. A data user 5 is a person who uses the circulated data.

Note that in FIG. 1, only one of each entity is shown for ease of explanation, but there may be multiple of each entity. In particular, it is assumed that there are multiple data sovereigns 2, data providers 4, and data users 5. Examples of circulating data include information about the relocation of data sovereigns 2, information about inheritance, and information about real estate purchases. The types of circulating data circulated in the data trading market 3 are determined in advance by the market administrator. In this embodiment, the types of circulating data are called "procedure classifications." Data users 5 can, for example, use circulating data to create estimates and contracts, update information they own, contact data sovereigns 2, and provide services to data sovereigns 2.

In data transactions in this embodiment, the data provider 4 first registers a standard data table that describes summary information about the distribution data that he or she plans to provide (S1). The standard data table includes the minimum data items to be included, as well as information about the recency and reliability of each data item. In other words, the standard data table does not include the distribution data itself, or the so-called actual data.

Next, a data user 5 accesses the data trading market 3, browses the information registered by the data providers 4, and purchases the right to acquire any of the data (S2). At this time, there may be multiple data users 5 purchasing the right to acquire data. Note that while the term "purchase" is used here for convenience, it is not essential that the right be paid for, and the consideration for the right may be something other than money. Also, since the actual data cannot be acquired at this stage, it can also be said that the data has been purchased in advance. In the data trading market 3, a "purchase list" is recorded of which data providers 4's distribution data each data user 5 has purchased in advance.

Next, the data provider 4 presents candidates to whom the distributed data will be provided to the data sovereign 2 (S3). At this time, the data provider 4 may present only those data users 5 who have purchased the right to acquire data in S2, or may present all data users 5. Next, the data sovereign 2 selects candidate recipients who are candidates to provide the distributed data from among the presented data users 5, and informs the data provider 4 of the selected recipients.

The data sovereign 2 selects a candidate destination from the presented candidates (S4), and further provides information about the data sovereign 2, i.e., the distribution data, to the data provider 4 (S5). The data sovereign 2 gives permission to the data provider 4 to provide data to the data user 5 selected as the candidate destination. The data sovereign 2 may select the candidate destination and provide the distribution data at the same time, or may provide the distribution data on different days. Next, the data provider 4 provides the distribution data to the data user 5 who has purchased the data acquisition rights information (S6). This concludes the outline of data trading in this embodiment.

Figure 2 is an overall configuration diagram of an information distribution system S according to the present invention. The information distribution system S includes a data sovereign computer 200, a data quality control computer 300, a data provider computer 400, and a data user computer 500. The information distribution system S may include multiple data sovereign computers 200, data provider computers 400, and data user computers 500, and if there are multiple data distribution markets, the information distribution system S may include multiple data quality control computers 300. The data sovereign computer 200 is operated by the data sovereign 2. The data quality control computer 300 is operated by the market administrator. The data provider computer 400 is operated by the data provider 4. The data user computer 500 is operated by the data user 5. The data quality control computer 300 evaluates the value of data as described below, and therefore may also be called a "data value evaluation calculation device."

Figure 3 is a configuration diagram of the data quality management computer 300. The data quality management computer 300 includes a processor 3100, a memory 3200, a network interface 3300, an IO device 3400, and a storage device 3500. The processor 3100 is a central processing unit, and deploys a program stored in the storage device 3500 to the memory 3200 and executes it. The memory 3200 is a semiconductor device capable of high-speed reading and writing. The network interface 3300 is a communication module, such as a network interface card, that communicates with other computers. The IO device 3400 is a user interface between the market manager and the data quality management computer 300, such as a keyboard, mouse, or liquid crystal display. The storage device 3500 is a non-volatile information recording device. The information stored in the memory 3200 is read from the storage device 3500 when the data quality management computer 300 is started.

The memory 3200 stores a data quality standard creation program 3210, a data quality evaluation program 3220, a data quality definition table 3230, an important item table 3240, a data quality standard table 3250, a data quality evaluation value table 3260, and a purchase list 3270. The purchase list 3270 is as described in S2 of FIG. 1, and the purchase list 3270 records which data provider 4's distribution data has been purchased in advance for each data user 5. Details of other information stored in the memory 3200 will be described later. The data quality definition table 3230, the important item table 3240, and the data quality standard table 3250 may be stored in the storage device 3500 at all times without being read into the memory 3200.

Although the data quality standard creation program 3210 and the data quality evaluation program 3220 are described as separate programs for convenience, they may be separate functions realized by the same program. In addition, the data quality standard creation program 3210 and the data quality evaluation program 3220 may be realized by means other than a program, for example, an FPGA (Field Programmable Gate Array), which is a rewritable logic circuit, or an ASIC (Application Specific Integrated Circuit), which is an integrated circuit for a specific application. Therefore, the data quality standard creation program 3210 and the data quality evaluation program 3220 can also be called the "data quality standard creation unit" and the "data quality evaluation unit", respectively.

Figure 4 is a configuration diagram of the data provider computer 400. The data provider computer 400 includes a processor 4100, a memory 4200, a network interface 4300, an IO device 4400, and a storage device 4500. The processor 4100 is a central processing unit, and deploys a program stored in the storage device 4500 to the memory 4200 and executes it. The memory 4200 is a semiconductor device capable of high-speed reading and writing. The network interface 4300 is a communication module, such as a network interface card, that communicates with other computers. The IO device 4400 is a user interface between the data provider 4 and the data provider computer 400, such as a keyboard, mouse, or liquid crystal display. The storage device 4500 is a non-volatile information recording device. The information stored in the memory 4200 is read from the storage device 4500 when the data provider computer 400 is started.

The memory 4200 stores a data provider program 4210 that assists the data provider 4 in inputting information. For example, the data provider program 4210 creates a data confirmation table 4220 based on operations performed by the data provider 4 on the IO device 4400.

Figure 5 is a configuration diagram of the data user computer 500. The data user computer 500 comprises a processor 5100, a memory 5200, a network interface 5300, an IO device 5400, and a storage device 5500. The processor 5100 is a central processing unit, and deploys a program stored in the storage device 5500 into the memory 5200 and executes it. The memory 5200 is a semiconductor device capable of high-speed reading and writing. The network interface 5300 is a communication module, such as a network interface card, that communicates with other computers. The IO device 5400 is a user interface between the data user 5 and the data user computer 500, such as a keyboard, mouse, or liquid crystal display. The storage device 5500 is a non-volatile information recording device.

The memory 5200 stores a data user program 5210 that assists the data user 5 in inputting information. The data user program 5210 purchases the right to acquire circulating data in the data trading market 3 (S2 in FIG. 1) based on the input operation by the data user 5 to the IO device 5400.

Note that in Figures 3 to 5, the data quality management computer 300, the data provider computer 400, and the data user computer 500 are each depicted as if they were a single hardware device, but each may be comprised of multiple hardware devices.

In addition, some or all of the programs and data stored in the memory devices 3500, 4500, and 5500 of each computer may be stored in advance, or may be stored as needed from non-transient memory devices of other devices connected to the network interfaces 3300, 4300, and 5300 via a network, or from non-transient storage media connected to an interface not shown.

Figure 6 is a diagram showing an example of the data quality definition table 3230. The data quality definition table 3230 is created in advance by a market operator. However, the market operator may manually update the data quality definition table 3230 in accordance with the actual state of data trading, or may create a mechanism for automatically updating the data quality definition table 3230 by automatic processing. The data quality definition table 3230 is composed of multiple records, and each record includes recency 3232, which is a criterion of recency, and credibility 3233, which is a criterion of credibility, for each level 3231. Note that recency 3232 and credibility 3233 are independent indicators, and are merely represented in one table for convenience. In other words, the data quality definition table 3230 shows the correspondence between level 3231 and recency 3232, and the correspondence between level 3231 and credibility 3233.

Level 3231 is, for example, an integer equal to or greater than 1, and in this embodiment, the higher the value, the more preferable it is. Recency 3232 indicates that the higher the level 3231, the newer the circulating data. Level "1" of recency 3232 is "no deadline", level "2" is "within three months", and level "3" is "within seven days". Credibility 3233 indicates that the higher the level, the higher the credibility of the circulating data. For example, level "1" of credibility 3233 is "oral", level "2" is "unofficial document", and level "3" is "official document, actual confirmation".

Figure 7 shows an example of an important item table 3240. The important item table 3240 is created in advance by a market operator. The important item table 3240 is composed of multiple records, and each record includes important items 3242 for each procedure classification 3241. The procedure classification 3241 is information indicating the type of circulating data. The important items 3242 are items of important information in the circulating data that corresponds to the procedure classification 3241. For example, when the procedure classification 3241 is "moving", the important item 3242 is "old address, new address".

Figure 8 is a diagram showing an example of a data quality criteria table 3250, showing data quality criteria table 3250A and data quality criteria table 3250B as two specific examples. The data quality criteria table 3250 is created for each data user 5 by the data quality criteria creation program 3210. The data quality criteria table 3250 is made up of one or more records, and each record includes a data item 3251, an important item 3252, recency 3253, and credibility 3254. The data item 3251 is information indicating the type of data, and is the same type of information as the important item 3242 in the important item table 3240.

The importance item 3252 is information indicating the importance of the data item 3251 to the data user 5 corresponding to the data quality standard table 3250. For example, the importance item 3252 can be set to two values, "High" and "Low", or three values, "High", "Middle", and "Low". However, the importance item 3252 may be set to four or more values.

Note that data quality criteria table 3250 is described as a "table" for convenience only, and similar information may be stored in a format other than a table. For example, a database may be used, the information may be stored in a text file in a predetermined format, or the information may be recorded as binary data. Therefore, data quality criteria table 3250 may also be called "data quality criteria information."

Figure 9 is a diagram showing an example of a data quality evaluation value table 3260. The data quality evaluation value table 3260 is created by the data quality evaluation program 3220 for each potential partner each time the data quality management computer 300 receives distributed data and potential partners from the data provider computer 400. In other words, each data quality evaluation value table 3260 has corresponding distributed data, data provider 4, and data user 5.

The data quality evaluation value table 3260 is made up of multiple records, and each record has a data item 3261, an important item 3262, exceeding the standard 3263, accuracy 3264, and probability 3265. The data item 3261 indicates the type of distributed data, and is the same type of information as the data item 3251 in the data quality standard table 3250. The specific items set in the data item 3261 are included in the distributed data that the data provider computer 400 transmits to the data quality management computer 300. The important item 3262 is the same type as the important item 3252 in the data quality standard table 3250. The specific value set in the important item 3262 is the value in the data quality standard table 3250 of the data user 5 corresponding to that data quality evaluation value table 3260.

The exceeding the standard 3263 is information indicating whether the distributed data corresponding to the data quality evaluation value table 3260 exceeds the standard of the data user 5 corresponding to the data quality evaluation value table 3260. Specifically, "YES" is set only when the distributed data corresponding to the data quality evaluation value table 3260 satisfies both the recency 3253 and the credibility 3254 in the data quality standard table 3250 of the data user 5 corresponding to the data quality evaluation value table 3260, and "NO" is set when neither is satisfied. However, if the data is not set as an important item in the data quality standard table 3250, there is no standard, so information indicating no judgment, for example "-", is set in the exceeding the standard 4363. Note that in the example shown in FIG. 8, when the important item 3252 is "Low", no standard is set because it does not correspond to an important item, but this is not limited to this, and a standard may be set even if the important item is "Low".

The accuracy 3264 is a numerical representation of the recency and credibility of a data item in the same record of the corresponding distributed data. The newer the information is and the higher the credibility, the higher the value of the accuracy 3264 is set. In the example of FIG. 10, the accuracy 3264 is expressed as a positive number with a maximum value of "1.0", but the range of the numerical value may be changed as long as the magnitude relationship is clear. The probability 3265 is a value obtained by multiplying the accuracy 3264 by a value indicating the credibility of the data provider 4. In this embodiment, a value indicating the credibility is predetermined for each data provider 4. In the example shown in FIG. 9, the data provider 4 and the data user 5 are clearly indicated in the data quality evaluation value table 3260, but it is not essential that the data quality evaluation value table 3260 includes this information, and the corresponding data provider 4 and data user 5 may be managed separately for each data quality evaluation value table 3260.

Figure 10 is a diagram showing an example of a data confirmation table 4220. The data confirmation table 4220 is created in the data provider computer 400 for each piece of distributed data. The data confirmation table 4220 is composed of multiple records, and each record includes a data item 4221, a confirmation level 4222, a confirmation item 4223, and a date and time 4224. The data item 4221 is the same type of information as the data item 3251 in Figure 7, and indicates the type of distributed data.

The degree of confirmation 4222 is information indicating the degree of confirmation of the information, and is at least one of the two values "High" and "Low", but may be one of three or more values including "Middle". For example, "High" indicates that some confirmation has been made, and "Low" indicates that no confirmation has been made. Also, for example, "Middle" indicates that the confirmation has been made simply, rather than rigorously.

The confirmation item 4223 is the item used to confirm the information. For example, if the information recorded in the distribution data is confirmed using a resident's card, which is an official document that lists the address and name, it is recorded as "resident's card," and if the information is confirmed verbally with the data sovereign 2, it is recorded as "oral." The date and time 4224 is the date and time when the confirmation item 4223 was created. For example, if the confirmation item 4223 is a document such as a "resident's card," it is the date and time when the document was issued, and if the confirmation item 4223 is "oral," it is the date and time when the confirmation was made verbally.

The existence of confirmation item 4223 and date/time 4224 is premised on the fact that some kind of confirmation has been made. Therefore, if confirmation has not been made, i.e., if confirmation level 4222 is "Low", confirmation item 4223 and date/time 4224 are left blank, or a symbol indicating that no information exists is entered. Data confirmation table 4220 may be created by a human being, the data provider 4, or part or all of data confirmation table 4220 may be created by automatic processing. When data confirmation table 4220 is created by automatic processing, the distribution data can be confirmed, for example, by checking the electronic signature of a document attached to the distribution data, or by character recognition processing.

Figure 11 is a diagram showing an example of a standard data table 4230. The standard data table 4230 is prepared in advance for each data provider 4. The standard data table 4230 is a table that indicates the minimum data items in the distribution data sent by the data provider 4, and the minimum recency and credibility. In other words, each data provider 4 collects data that includes more data items than those listed in the standard data table 4230, and collects recency 3253 and credibility 3254 based on standards that are higher than those specified in the standard data table 4230.

Figure 12 is a flowchart showing the definition table creation process in which the data quality standard creation program 3210 creates the data quality standard table 3250. The definition table creation process described below is a process targeted at a certain data user 5, and the process of Figure 12 is repeated as many times as the number of data users 5. In the explanation of Figure 12, the data user 5 corresponding to the data quality standard table 3250 to be created is referred to as the "target data user 5."

In step S11, which is the first step in the definition table creation process, the data quality standards creation program 3210 obtains the data items, procedure classifications, and related information for the target data user 5.

The data quality standard creation program 3210 may directly or indirectly acquire information on the data items, procedure classifications, and related information from the data user 5, or may extract information on the data items, procedure classifications, and related information from information previously entered by the data user 5. For example, the data quality standard creation program 3210 may acquire the above-mentioned information from the data user 5 as part of the registration process when the data user 5 participates in the data trading market 3. Note that the related information is information that indicates the recency and credibility required by the data user 5 in the information acquired, and specifically, information on the type of document submitted by the data sovereign 2 and the freshness of the information.

In the next step S12, the data quality standard creation program 3210 writes the data items acquired in step S11 in the data item 3251 column of the new data quality standard table 3250. When step S12 is completed, only the data item 3251 is filled in the data quality standard table 3250 being created, and the important item 3252, recency 3253, and credibility 3254 columns are left blank.

In the following step S13, the data quality standard creation program 3210 assigns an important item label to the important item 3252 column of the data quality standard table 3250 based on the important item table 3240 and the procedure name acquired in step S11. For example, the process will be described for the case where the procedure name acquired in step S11 is "moving" and the important item table 3240 is the example shown in FIG. 7. In this case, since the important item 3242 corresponding to the procedure classification 3241 of "moving" is "old address, new address", the data quality standard creation program 3210 sets the important item 3252 to "High" only for records whose data items 3251 are "old address" and "new address", and sets the important item 3252 to "Low" for other records.

In the next step S14, the data quality standard creation program 3210 references the related information acquired in step S11 and the data quality definition table 3230, and stores the levels in the recency 3253 and credibility 3254 of the data quality standard table 3250. For example, if the data quality definition table 3230 is as shown in FIG. 6, the procedure name acquired in step S11 is "moving", and the related information acquired in step S11 is "official document within the last three months", then recency 3232 is set to level "2" and credibility 3233 is set to level "3". However, the levels of recency 3232 and credibility 3233 may be directly specified in the related information acquired in step S11. This completes the process of the data quality standard creation program 3210 in FIG. 12.

Figure 13 is a flowchart showing the evaluation process in which the data quality evaluation program 3220 creates the data quality evaluation value table 3260. This flowchart is executed for each data user included in the candidate recipients of certain distributed data. In step S21, which is the first process in the evaluation process, the data quality evaluation program 3220 writes the names of the data provider who sent the distributed data to be evaluated and the data users who are candidates to receive the distributed data in the data quality evaluation value table 3260.

In the next step S22, the data quality evaluation program 3220 writes all data items written in the data provider's standard data table 4230 in the data quality evaluation value table 3260. In the next step S23, the data quality evaluation program 3220 refers to the data quality criterion table 3250 of the data user 5 and fills in the important item column of the data quality evaluation value table 3260. Specifically, the data quality evaluation program 3220 sets only data items whose important item is "High" in the data quality criterion table 3250 to "High" in the data quality evaluation value table 3260. In addition, the data quality evaluation program 3220 sets items whose important item is "Low" in the data quality criterion table 3250 and data items not written in the data quality criterion table 3250 to "Low" in the data quality evaluation value table 3260.

In the next step S24, the data quality evaluation program 3220 targets records with a "High" importance item in the data quality evaluation value table 3260, and sets "YES" to "exceeds criteria" 3263 only if the criteria in the data quality evaluation value table 3260 are met when both recency and credibility meet the criteria, and sets "NO" if the criteria are not met. In this step, the data quality evaluation program 3220 references the data confirmation table 4220 corresponding to the distribution data to be processed, and the data quality criteria table 3250 of the target data user.

In the next step S25, the data quality evaluation program 3220 enters "-" to indicate that no data exists in the exceeding standard column of the data quality evaluation value table 3260 for records in the data quality evaluation value table 3260 where the important item is "Low". In the next step S26, the data quality evaluation program 3220 calculates the accuracy and probability for each data item and records them in the data quality evaluation value table 3260, and ends the processing shown in FIG. 13.

In steps S24 and S25, for the sake of convenience in explaining the example shown in FIG. 8, it is assumed that the important item has a criterion for "High" and no criterion for "Low", but this is not limited to this. For example, a criterion may be set even if the important item is "Middle" or "Low". In this way, when a criterion is set for "Low", a process of comparison with the criterion may be performed as in step S24, and the process of FIG. 13 may be terminated without performing the process of the following step S25.

Figure 14 is a time chart showing data quality calculation in information distribution system S. Specifically, it shows the processing before and after the quality calculation processing by data quality evaluation program 3220. In Figure 14, time passes from the top to the bottom of the figure. Note that before the processing shown in Figure 14 is executed, the definition table creation processing described with reference to Figure 12 is completed.

In FIG. 14, first, the data sovereign computer 200 transmits the distribution data and the candidate destinations to the data provider computer 400 (S31). This process corresponds to S4 and S5 in FIG. 1. The data sovereign 2 may also transmit electronic data of a confirmation document supporting the distribution data to the data provider computer 400. Next, the data provider computer 400 creates a data confirmation table 4220 using the received distribution data, and transmits it to the data quality management computer 300 together with the received distribution data and the candidate destinations (S32). It is not essential that the data sovereign 2 use the data sovereign computer 200 to send the distribution data. For example, the distribution data and the candidate destinations may be communicated to the data provider 4 verbally or in writing, or the data sovereign 2 may operate the data provider computer 400 to input the distribution data and the candidate destinations.

Next, the data quality management computer 300 executes an evaluation process in which the data quality evaluation program 3220 creates a data quality evaluation value table 3260 for each data user 5 that is included in the candidate destination and is associated with the data provider 4 that has sent the distribution data in the purchase list 3270 (S33). Details of the evaluation process are as described with reference to FIG. 13. Next, the data quality management computer 300 judges whether the level of the received data confirmation table 4220 meets the level of the data quality standard table 3250 for each candidate destination (S34). This judgment can be easily made by referring to the created data quality evaluation value table 3260. That is, if there is no "NO" in the exceeding the standard column, it can be judged that the level of the data confirmation table 4220 meets the level of the data quality standard table 3250, and if there is only one "NO" in the exceeding the standard column, it can be judged that the level of the data confirmation table 4220 does not meet the level of the data quality standard table 3250.

If the data quality control computer 300 judges in S33 to be positive, it transmits the distributed data and the data quality evaluation value table 3260 to the data user computer 500, and the data user computer 500 receives this (S36). If the data quality control computer 300 judges in S33 to be negative, it transmits to the data provider computer 400 a message that the data cannot be transmitted to the destination because the conditions are not met, and the data provider computer 400 receives this (S35). This concludes the explanation of Figure 14.

According to the above-described first embodiment, the following advantageous effects can be obtained.
(1) The data quality management computer 300 includes a memory 3200 in which a data quality standard table 3250 is stored, in which standards of data value corresponding to each of a plurality of data users 5 are written, and a data quality evaluation program 3220 that evaluates distribution data provided from the data provider computer 400 based on the data quality standard table 3250. Therefore, it is possible to distribute distribution data reflecting the values of the data users 5 that accept the data. Specifically, the values of the data users 5 are reflected in the data quality standard table 3250, and distribution data that meets a predetermined standard based on this data quality standard table 3250 can be sent to the data users 5.

(2) The data owner 2 who owns the distributed data selects from among multiple data users candidate recipients who can acquire the distributed data. The data quality evaluation program 3220 sends the distributed data to the data users who correspond to the data quality standard information in which the evaluation of the distributed data exceeds a predetermined standard and who are included in the candidate recipients. Therefore, the intention of the data owner can be reflected in the provision of the distributed data.

(3) A purchase list 3270 indicating one or more data users corresponding to each data provider computer, and a data quality standard table 3250 are stored in advance in the memory 3200 of the data quality management computer 300. The data quality evaluation program 3220 sends the distributed data to a data user who corresponds to the data quality standard table 3250 in which the evaluation of the distributed data exceeds a predetermined standard, who is included in the candidate recipients, and whose combination of the data provider computer that sent the distributed data and the data user is indicated in the purchase list 3270. Therefore, the distributed data can be provided to a data user 5 whose value for that data user 5 is higher than a threshold, who is a data user 5 whose data sovereign has agreed to the provision of the distributed data, and who is listed in the purchase list 3270 in advance as wanting the distributed data provided by a specific data provider 4.

(4) The distributed data includes multiple data items. The data quality evaluation program 3220 evaluates the accuracy based on the recency, which is the newness of the information for each data item, the credibility, which is the reliability of the information for each data item, and the degree of confirmation of the data item by the data provider 4 who sent the distributed data, i.e., the degree of confirmation 4222.

(5) The data quality evaluation program 3220 calculates the probability for each data item by multiplying the accuracy by a value indicating the reliability of the data provider who sent the distributed data.

(6) The data quality criteria table 3250 includes criteria for recency, which is the newness of the information, for each data item, and criteria for credibility, which is the reliability of the information, for each data item.

(Variation 1)
Fig. 15 is a diagram showing an example of a data content confirmation screen generated by the data provider computer 400 in the first modified example. When the data provider computer 400 generates the data confirmation table 4220, the data provider computer 400 may display the display shown in Fig. 15 on the IO device 4400 to allow the data provider 4 to confirm the generated content. In the example shown in Fig. 15, the generated data confirmation table 4220 is displayed in the center of the screen, and a button for selecting whether or not to transmit is displayed in the lower right of the screen. In this case, when the data provider 4 selects "Yes" using the IO device 4400, the generated data confirmation table 4220 is transmitted to the data quality management computer 300 together with the distribution data.

(Variation 2)
The data quality evaluation program 3220 may calculate the original data value of the distributed data and the relative data value for each data user. The original data value is calculated using the values of the probability 3265 of all data items in the data quality evaluation value table 3260. For example, the original data value is the sum or average of the values of the probability 3265 of all data items. The relative data value is obtained by weighting the values of the probability 3265 of all data items in the data quality evaluation value table 3260 by the important items for the data user 5. For example, the relative data value is the sum or average of only the data items whose important item 3262 is "High" among the values of the probability 3265 in the data quality evaluation value table 3260. Alternatively, the importance item 3262 may be the sum of the product of the probability value of a data item that is "High" and 1.0, the product of the probability value of a data item that is "Middle" and 0.5, and the product of the probability value of a data item that is "Low" and 0.3. In other words, it is sufficient if items with higher importance have a greater influence on the value.

In this case, the data quality evaluation program 3220 may transmit the relative data value and the original data value together with the circulation data, or may transmit at least one of the relative data value and the original data value prior to the circulation data and transmit the circulation data in response to a response from the data user computer 500. That is, in this modified example, even if circulation data would have been transmitted in the first embodiment, circulation data may not be transmitted in response to a response from the data user computer 500, and even if circulation data would not have been transmitted in the first embodiment, circulation data may be transmitted in response to a response from the data user computer 500.

Figure 16 is a diagram showing an example of a receipt confirmation screen displayed on the data user computer 500 in variant example 2. In the example shown in Figure 16, the relative data value, original data value, and data quality evaluation value table 3260 are displayed on the IO device 5400 of the data user computer 500. Furthermore, a button for selecting whether or not to accept is displayed in the lower right of the receipt confirmation screen. In this case, when the data user 5 selects "Yes" using the IO device 5400, the distribution data corresponding to the displayed data quality evaluation value table 3260 is transmitted to the data user computer 500.

Also, the data user program 5210 may read the numerical value instead of the data user 5 and determine whether or not the distribution data is required based on preset criteria. In this case, it is not essential that the information shown in FIG. 16 is displayed on the screen, and it is sufficient that the information is input to the data user computer 500.

According to this modified example, the following effects can be obtained.
(7) The data quality evaluation program 3220 calculates a relative data value for each data item by using a value obtained by weighting the probability value by the importance of the data item included in the data quality standard information. Therefore, it is possible to calculate a relative data value that evaluates the distributed data based on the values of the data users 5.

(Variation 3)
In the first embodiment described above, the destination candidates presented by the data provider 4 to the data principal 2 do not reflect the information in the purchase list 3270. However, the data provider 4 may present destination candidates reflecting the information in the purchase list 3270 to the data principal 2. In other words, the data provider 4 may present only the data users 5 who have purchased the distribution data provided by the data provider 4. In this case, there is no need to check the purchase list 3270 again in the data quality management computer 300, and the processing in S33 in FIG. 14 is simplified.

(Variation 4)
In the first embodiment described above, the distribution data owned by the data sovereign 2 was provided only to the data user 5 selected by the data sovereign 2. However, the distribution data of the data sovereign 2 may be provided to the data user 5 without confirming the intention of the data sovereign 2.

(Variation 5)
The data quality management computer 300 may further have a suggestion function that proposes the addition or modification of distributed data. This suggestion function compares each data quality standard table 3250 with the data confirmation table 4220. Then, it calculates how the data confirmation table 4220 needs to be modified to exceed the standard set by how many data quality standard tables 3250, and outputs this to the data provider computer 400. For example, this function lists the changes to the data confirmation table 4220 that are required to satisfy the standard for each data quality standard table 3250 for which the data confirmation table 4220 does not currently satisfy the standard. Then, it outputs one or more of the changes that overlap the most.

Figure 17 is a diagram showing an example of a screen displayed on the data provider computer 400 by the suggestion function. Figure 17 shows that there are "10" data users who meet the conditions by changing the confirmation item for the data item "address" to a "resident's card" issued "within three months."

--Second embodiment--
A second embodiment of an information distribution system will be described with reference to Figures 18 and 19. In the following description, the same components as in the first embodiment are given the same reference numerals, and differences will be mainly described. Points that are not particularly described are the same as in the first embodiment. This embodiment differs from the first embodiment mainly in that the functions and information possessed by the data quality management computer are installed in the data provider computer 400 and the data user computer 500.

Figure 18 is a configuration diagram of a data provider computer 400A in the second embodiment. The difference from the configuration in the first embodiment is that the memory 4200A further stores a data quality evaluation program 3220, a data quality definition table 3230, an important item table 3240, a data quality criteria table 3250, a data quality evaluation value table 3260, and a purchase list 3270. The data quality criteria table 3250 is shown by a dashed line in Figure 17 because it is received from and saved by the data user computer 500A.

Figure 19 is a configuration diagram of a data user computer 500A in the second embodiment. The difference from the configuration in the first embodiment is that the memory 5200A further stores a data quality standard creation program 3210, a data quality definition table 3230, an important item table 3240, a data quality standard table 3250, and a data quality evaluation value table 3260. The data quality evaluation value table 3260 is shown by a dashed line in Figure 18 because it is received from the data provider computer 400A and stored.

The information distribution system S in this embodiment does not include a data quality control computer 300. The functions provided by the data quality control computer 300 in the first embodiment are distributed to a data provider computer 400A and a data user computer 500A. Therefore, the processing content is generally similar to the first embodiment, but the timing and destination of information transmission are different. Specifically, it is as follows.

The data user computer 500A creates a data quality standard table 3250 and transmits it to the data provider computer 400A. The data provider computer 400A executes the processes of S33 and S34 in FIG. 14, and if a positive judgment is made, transmits the distributed data and the data quality evaluation value table 3260 to the target data user computer 500A.

According to the second embodiment described above, the data quality management computer 300 is not required, and the data provider and data user can directly exchange information.

In each of the above-described embodiments and variations, the functional block configurations are merely examples. Several functional configurations shown as separate functional blocks may be configured together, or a configuration shown in a single functional block diagram may be divided into two or more functions. In addition, some of the functions of each functional block may be provided by other functional blocks.

In each of the above-mentioned embodiments and variations, each arithmetic device or computer has an input/output interface, and a program may be read from another device via a medium available to this input/output interface. Here, the medium refers to, for example, a storage medium that is detachable from the input/output interface, or a communication medium, i.e., a network such as a wired, wireless, or optical network, or a carrier wave or digital signal that propagates through the network. In addition, some or all of the functions realized by the program may be realized by a hardware circuit or FPGA.

The above-mentioned embodiments and modifications may be combined with each other. Although various embodiments and modifications have been described above, the present invention is not limited to these. Other aspects that are conceivable within the scope of the technical concept of the present invention are also included within the scope of the present invention.

2...data sovereign 3...data trading market 4...data provider 5...data user 200...data sovereign computer 300...data quality management computer 400, 400A...data provider computer 500, 500A...data user computer 3200...memory 3210...data quality standard creation program 3220...data quality evaluation program 3230...data quality definition table 3240...important item table 3250...data quality standard table 3260...data quality evaluation value table 3270...purchase list 4220...data confirmation table 4230...standard data table

Claims (10)

a storage unit for storing data quality standard information in which standards of data value corresponding to each of a plurality of data users are described;
a data quality evaluation unit that evaluates distribution data provided from a data provider computer based on the data quality standard information ;
The distribution data includes a plurality of data items,
the data quality evaluation unit evaluates accuracy based on recency, which is the newness of information for each of the data items, credibility, which is the reliability of information for each of the data items, and the degree of confirmation of the data items by a data provider who operates the data provider computer that has sent the distribution data;
The accuracy is calculated as a numerical value,
A data value evaluation calculation device in which the data quality evaluation unit calculates a probability for each data item by multiplying the accuracy by a value indicating the reliability of the data provider operating the data provider computer that transmitted the distributed data. 2. The data value assessment calculation device according to claim 1,
A data sovereign who owns the distribution data selects a candidate destination from among the plurality of data users who can acquire the distribution data,
The data quality evaluation unit is a data value evaluation calculation device that sends the distributed data to the data user that corresponds to the data quality standard information in which the evaluation of the distributed data exceeds a predetermined standard and is included in the candidate recipients. 3. The data value assessment calculation device according to claim 2,
The storage unit stores in advance a delivery list indicating one or more data users corresponding to each of the data provider computers, and the data quality standard information;
The data quality evaluation unit is a data value evaluation calculation device that sends the distribution data to the data user corresponding to the data quality standard information in which the evaluation of the distribution data exceeds a predetermined standard, who is included in the candidate recipients, and whose combination of the data provider computer that transmitted the distribution data and the data user is shown in the sending list. 2. The data value assessment calculation device according to claim 1,
A data value assessment calculation device, wherein the data quality standard information includes a recency standard, which is the newness of information, for each of the data items, and a credibility standard, which is the reliability of information, for each of the data items. 2. The data value assessment calculation device according to claim 1 ,
The data quality evaluation unit further calculates, for each data item, a relative data value using a value obtained by weighting the probability value by the importance of the data item contained in the data quality standard information. a data provider computer that transmits distribution data to be evaluated and distributed;
A data value evaluation calculation device that evaluates the distribution data and transmits the distribution data to one or more data users based on the evaluation result,
The data value assessment calculation device comprises:
A storage unit for storing data quality standard information in which standards of data value corresponding to each of the plurality of data users are described;
a data quality evaluation unit that evaluates the distribution data based on the data quality standard information and sends the distribution data that exceeds a predetermined standard to the data user corresponding to the data quality standard information ;
The distribution data includes a plurality of data items,
the data quality evaluation unit evaluates accuracy based on recency, which is the newness of information for each of the data items, credibility, which is the reliability of information for each of the data items, and the degree of confirmation of the data items by a data provider who operates the data provider computer that sent the distribution data;
The accuracy is calculated as a numerical value,
A data distribution system , wherein the data quality evaluation unit calculates a probability by multiplying the accuracy by a value indicating the reliability of a data provider who operates the data provider computer that transmitted the distribution data . 7. The data distribution system according to claim 6 ,
A data sovereign who owns the distribution data selects a candidate provider from among the plurality of data users who can acquire the distribution data;
A data distribution system in which the data quality evaluation unit sends the distribution data to the data user corresponding to the data quality standard information in which the evaluation of the distribution data exceeds a predetermined standard and who is included in the candidate recipients. The data distribution system according to claim 7 ,
The storage unit stores in advance a delivery list indicating one or more data users corresponding to each of the data provider computers, and the data quality standard information;
A data distribution system in which the data quality evaluation unit sends the distribution data to the data user corresponding to the data quality standard information in which the evaluation of the distribution data exceeds a predetermined standard, who is included in the candidate recipients, and whose combination of the data provider computer that sent the distribution data and the data user is shown in the sending list. 7. The data distribution system according to claim 6 ,
A data distribution system, wherein the data quality standard information includes a recency standard, which is the newness of information, for each of the data items, and a credibility standard, which is the reliability of information, for each of the data items. 7. The data distribution system according to claim 6 ,
A data distribution system in which the data quality evaluation unit further calculates a relative data value for each data item using a value obtained by weighting the probability value by the importance of the data item contained in the data quality standard information.

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