Silviase/jgov_v1.4_full_ann huggingface dataset:
Figure 3-1-3-1 Types of data in use

(Source) "Study Report on the Ripple Effects of Operational and Service Innovation through Advanced Data Usage on Japan's Economy and Society," MIC (2014)

Figure 3-1-3-2 Depth of data usage in operations at the respondent's department

(Source) "Study Report on the Ripple Effects of Operational and Service Innovation through Advanced Data Usage on Japan's Economy and Society," MIC (2014)

15.0 percent decrease in costs. The following benefit sizes, in decreasing order, were increased customer satisfaction, increased sales, and increased added value (Figure 3-1-3-4).

### C. Estimates of sales increase benefits from data use

Based on this survey’s results, the sales increase benefits from data use in industries other than the distribution industry (wholesaling and retail industry) were estimated to be 32.8 trillion yen according to the formula below.

### b. Analysis of surveyed corporations in the distribution industry

This survey included more detailed questions about the effects derived from data usage in the distribution industry. The questions asked about the state of data usage in the distribution industry and the resulting quantitative benefits in eight operational areas: (1) development of private brand products; (2) product procurement / inventory management; (3) sales promotion; (4) optimization of advertising and marketing; (5) reciprocal customer transfers; (6) optimization of sales floor traffic patterns; (7) analysis of store locations; and (8) other.

### A. Overview of data usage

Respondents were asked whether data are used in their workplaces. When asked whether data such as POS data, customer purchase histories, social media postings are used in the eight operational areas given above, product procurement / inventory management, sales promotion, and advertising and marketing operations received the largest affirmative responses rates (Figure 3-1-3-5).

Figure 3-1-3-6 shows the results from the question about issues with data usage given to corporations in the distribution industry. The five most common responses
Figure 3-1-3-3 Data usage issues

(Source) "Study Report on the Ripple Effects of Operational and Service Innovation through Advanced Data Usage on Japan's Economy and Society," MIC (2014)

(Source) “Study Report on the Ripple Effects of Operational and Service Innovation through Advanced Data Usage on Japan’s Economy and Society,” MIC (2014)

Figure 3-1-3-5 Data usage in the distribution industry (by operational area)

(Source) "Study Report on the Ripple Effects of Operational and Service Innovation through

were “don’t know how to use data,” “no internal system to analyze and use data,” “difficult to assess the cost-benefit ratio of data use,” “costs to analyze and use data,” and “data sets are scattered and difficult or impossible to analyze.”

### B. Benefits gained from data use

Respondents were next asked to give the specific size of benefits gained from data use, as a percentage, for

Advanced Data Usage on Japan's Economy and Society," MIC (2014)

each operational area where data sets are used. To ascertain the benefits in more detail than in the questions asked to all industries, the benefit indicators were changed depending on the operational area (Figure 3-1-3-7).

### C. Estimates of sales increase benefits from data use

Based on the results to these questions, the sales increase benefits from data use in the distribution industry.
(Source) "Study Report on the Ripple Effects of Operational and Service Innovation through Advanced Data Usage on Japan's Economy and Society," MIC (2014)

Figure 3-1-3-7 Benefits gained from data usage (by operational area)

(Source) "Study Report on the Ripple Effects of Operational and Service Innovation through Advanced Data Usage on Japan's Economy and Society," MIC (2014)

try (wholesaling and retail industry) were estimated to be 28.1 trillion yen — 13.0 trillion in the wholesaling industry and 15.1 trillion in the retail industry. The estimated total sales increase benefits in industries outside the distribution industry were 60.9 trillion yen. This figure is equivalent to 4.6 percent of the total sales in Japan's entire industry (1,335.5 trillion yen).

### 4. Promoting combined geospatial information and ICT usage

## (1) Awareness of applications for geospatial information among local governments

### a. State of integrated GIS usage (taken from "Outline of Local Government Information Management," MIC)

Local governments share integrated GIS among taxation bureaus, urban planning bureaus, disaster management bureaus, and other internal sections. Local governments are moving ahead with preparations of the shared spatial data (digital map data that can be shared internally), including basic map information for more efficient execution of administrative operations, ahead of GIS deployment. The national government provides technical assistance and supplementary financial measures.

According to MIC’s Outline of Local Government Information Management (2014) report, as of April 2013, 40.4 percent of prefectural governments, along with 44.8 percent of municipal governments, had introduced inte-
grated GIS. When asked about the application fields for integrated GIS, the top-three responses from prefectural governments were “agriculture and forestry administratio” (94.7 percent), “environment” (89.5 percent), and “education” (84.2 percent), while the top-three responses from municipal governments were “roads” (64.4 percent), “property taxes” (63.5 percent), and “fire departments and disaster management” (59.7 percent).

Local governments that indicated they had no plans to introduce integrated GIS were asked about the factors impeding integrated GIS adoption. The most frequently quoted reasons, by both prefectural and municipal governments, were “public financial conditions” and “lacking personnel.”

### b. State of GIS usage (taken from a survey of local governments)

Local governments were asked about what fields they hope to expand GIS applications into. As in last year's survey, disaster management was the No. 1 response by a wide margin, mentioned by over 80 percent of the respondents. This was followed in order by city infrastructure, tourism, healthcare / nursing / social welfare, and crime prevention (Figure 3-1-4-1).

When asked about problems facing expanded GIS use, “tough public financial conditions” was the most common response, given by almost 60 percent of the respondents. As in last year’s survey, this was followed in order by “have not established systems that can be used and shared across divisions,” “lacking promotion systems within government offices,” and “lacking employee skills (operational abilities, analytic and application abilities, etc.) or software / tools to use data” (Figure 3-1-4-2).

## (2) MIC initiatives to promote geospatial information–ICT integration

As ICT dramatically changes and evolves, both quantitatively and qualitatively, MIC is looking to bring new innovation to the daily lives of citizens by converging spatial information with ICT. To this end, it launched the

Figure 3-1-4-1 Promising fields for GIS application expansion

Figure 3-1-4-2 Problems facing expanded GIS use

(Source) "Study Report on the Current State of Regional ICT Application and Use," MIC (2014)
### 2. Awareness of open data among local governments and private corporations

## (1) Awareness among local governments

### a. State of open data initiatives

Questions about the state of open data initiatives by local governments, divided by prefectures, cities and special zones, and municipalities, show that a high percentage of prefectures are moving ahead with initiatives while initiatives by cities, special zones, and municipalities are still forthcoming. This state of affairs is unchanged from last year's survey, but more cities, special zones, and municipalities answered they are “already moving ahead with initiatives” or “examining specific ways to move ahead with initiatives” this year than last year. Noteworthy is that 27.4 percent of cities and special zones and 50.0 percent of municipalities answered, “not interested and not undertaking any initiatives,” a decline from the percentages in last year’s survey (Figure 3-2-2-1).

### b. Provided data types

Next, the survey asked local governments already undertaking open data initiatives what data types they provide. The No. 1 response was survey and statistical data sets and the No. 2 response was information on government services and resident services, the same as last year's survey. However, disaster-management and related information moved up to third place with a 42.3 percent response rate from fifth place (29.5 percent) last year. Response rates also rose for provision of information on education and public transportation (Figure 3-2-2-2).

Local governments undertaking open data initiatives and local governments considering moving toward taking initiatives were asked what types of public data they were considering for provision. The top response was survey and statistical data sets, followed in order by disaster-management and related information, tourism and related information, map, topography, and geological feature information, and information on public facilities (Figure 3-2-2-3).

### c. Issues in promoting open data

Finally, local governments were asked about high-priority issues in the promotion of open data initiatives. No significant differences were seen in the response

Figure 3-2-2-1 State of open data initiatives by local governments

(Source) "Study Report on the Current State of Regional ICT Application and Use," MIC (2014)

Figure 3-2-2 Public data currently provided
Figure 3-2-2-3 Public Data currently considered for provision

(Source) "Study Report on the Current State of Regional ICT Application and Use," MIC (2014)

Figure 3-2-2-4 High-priority issues in promoting open data initiatives

(Source) "Study Report on the Current State of Regional ICT Application and Use," MIC (2014)

tendencies between local governments that are already taking open data initiatives or considering open data initiatives and local governments interested in open data (Figure 3-2-2-4).

## (2) Open data needs among private corporations

Private corporations were asked what types of public data they want to use. The top response, given by 59 corporations, was maps and underground data, followed in order by public transportation (43 responses), disaster management, security, and safety (38 responses), and city planning and construction (35 responses) (Figure 3-2-2-5).

Next, private corporations were asked which organizations held the public data they want to use. The top response, given by 122 corporations, was local governments, followed in order by the Ministry of Land, Infrastructure, Transport and Tourism (116 responses), MIC (54 responses), independent government agencies (35 responses), and the Ministry of Health, Labour and Welfare (34 responses) (Figure 3-2-2-6).

Figure 3-2-2-7 indicates the responses of private corporations when asked what types of public data held by local governments they want to use. Maps and underground data was the top response, at 16 percent, followed by public transportation, individual / resident information, and city planning and construction, all at 13 percent.
Figure 3-2-2-5 Types of public data most needed

Figure 3-2-2-6 Institutions holding public data most needed

(Source) "Study Report on Industry Use of Public Data," Keidanren (March 19, 2013)

Figure 3-2-2-7 Breakdown of desired data types (held by local governments)

(Source) "Study Report on Industry Use of Public Data," Keidanren (March 19, 2013)

## Section 3 Harmonious Use and Distribution of Personal Data

### 1. Trends in the usage and distribution of personal data

## (1) Treatment of personal data in the big data era

Today, entities both in the public and private sector routinely create and distribute big data over networks. Some of these distributed data sets contain personal data as well. In the past, our country’s rules on the use and application of personal data have been somewhat vague, causing some businesses to hesitate to use big data. Over time, however, new industries and new services around the world have become more active with the use of big data, and a succession of companies are embarking on testing and launching services that use personal data as companies have become more familiar with using and applying data.

## (2) Government movements pertaining to the domestic use and distribution of personal data

In the wake of the Declaration to be the World's Most Advanced IT Nation, decided by the Cabinet in June 2013, the IT Strategic Headquarters, in June 2013, set up the Study Committee on Personal Data, which examined (1) defining basic frameworks for the use and application of personal data, (2) approaches to rules on the use and application of personal data, (3) approaches to mechanisms to ensure the effective functioning of personal data protection, and (4) organizing ideas on the establishment of independent third-party organizations. On December 20, 2013, the IT Strategic Headquarters released the Policy on Revisions to the Use and Application of Personal Data.

The IT Strategic Headquarters continued to examine a detailed system plan based on this policy and on June 24, 2014, released the Policy Outline of the Institutional Revision for Utilization of Personal Data. The IT Strategic Headquarters has started work on drafting a related
bill through a public comment process and plans to submit the related bill to the National Diet as soon as possi-

### 2. User attitudes on the use of their personal data

## (1) Attitudes on the privacy of personal data

The current Act on the Protection of Personal Information defines personal information that should be protected as any personally identifiable information. As this definition ranges from information that is normally public, such as names, to information that people do not want known publicly, different degrees of privacy are thought to apply. Furthermore, the degree of privacy is thought to vary depending on the circumstances and situations where the personal data are used.

Users were asked to rate how private 37 different types of personal information are to them. The results are collected in Figure 3-3-2-1.

From the figures above we know many users tend to feel a strong sense of privacy toward data that allows direct access to the individual, such as name, address, email address, and telephone number. Many users also tend to feel a particularly strong sense of privacy toward financial and credit information, such as bank account information and credit card numbers, and authentication information, such as personal ID numbers and biological information.

## (2) User attitudes on important aspects to them when providing data

Users were asked what aspects they view as important when they, as service users, provide their personal data to a service provider (public institutions or private companies). The top aspect viewed as most important was "obtain proper consent," given by 35.5 percent of the respondents. This was followed in order by "proper information handling methods" (17.5 percent) and "type of information provided" (17.4 percent) (Figure 3-3-2-2).

Users were also asked what information given by a service provider they view as important when the service provider seeks their consent, as a service user, to use information related to them. The top response was “purpose of using information” (57.0 percent), followed in order by “whether information is sent externally / provided to third parties” (44.6 percent) and “details of collected information” (41.7 percent) (Figure 3-3-2-3).

Figure 3-3-2-1 Attitudes on the privacy of personal data

(Source) "Study Report on the Social Impacts of ICT Advancement," MIC (2014)
Figure 3-3-2-2 Important aspects when providing data

Figure 3-3-2-3 Important information when consenting to providing data

(Source) "Study Report on the Social Impacts of ICT Advancement," MIC (2014)

## (3) User attitudes on purposes for using personal data

### a. Organizations to whom it is acceptable to provide data

Users were first asked whether they would provide personal data about themselves to a number of different organizations, assuming proper consent were obtained. The envisioned purposes of use were broadly divided into public purposes and business purposes (Figure 3-3-2-4).

When the envisioned use was for a public purpose, “national government,” selected by 29.8 percent of respondents, was the most frequently mentioned organization that it was acceptable to provide personal data to. This was followed in order by “local governments” (24.2 percent) and “hospitals” (19.0 percent).

When the envisioned use was for a business purpose, “large corporations with a public nature (lifeline-type corporations),” selected by 12.4 percent of respondents, was the most frequently mentioned organization that it was acceptable to provide personal data to. This was followed by “large corporations with a public nature (transport-related corporations)” with 11.8 percent support. On the other hand, more than half of the respondents answered “will not provide personal data under any circumstances” to “other ordinary corporations (that you have not heard of),” which indicates the willingness to provide personal data varies substantially depending on familiarity with the organization.

### b. Situations where it is acceptable to provide personal data (by purpose of use)

Next, users were asked whether they would provide personal data about themselves for a number of different purposes, assuming proper consent were obtained. When the envisioned use was for a public purpose, “in large natural disasters or other emergencies,” selected by 45.5 percent of respondents, was the most frequently mentioned situation where it is acceptable to provide personal data. This was followed in order by “for disaster-management purposes” (33.6 percent), “for the health and welfare of citizens” (26.4 percent), and “for the protection of national security or safety of citizens” (25.3 percent).

On the other hand, when the envisioned use was for a business purpose, 14.0 percent of respondents agreed it was acceptable to provide personal information “to improve services for the user” and 13.8 percent agreed with “to receive personal economic benefits” (Figure 3-3-2-5).

Figure 3-3-2-4 Organizations to whom it is acceptable to provide personal data

| Public purposes (%) | Business purposes (%)
National government | 29.8 | 11.8
Local governments (prefectural, municipal) | 24.2 | 12.4
Hospitals | 19.0 | 7.9
Education / research institutions | 12.7 | 5.6
Tourism associations and other non-profit organizations with a public nature | 6.4 | 3.5
| 56.7 | 45.5
| 36.9 | 51.0

Will provide ___ Will provide with conditions ___ Will not provide under any circumstances
sophistication, and it is possible in some cases to obtain sufficient insights needed for operations without specialized personnel. Still, a critical issue is how to secure, either internally or through outsourcing, personnel who can shoulder such operations.
(参考)

平成17年度各省各庁債権現在額報告書
## 目次

## 一 般会計債権現在額報告書

国会所管 1
裁判所管 2
会计检查院所管 3
内阁所管 4
内阁府所管 5
総務省所管 7
法務省所管 9
外務省所管 11
財務省所管 12
文部科学省所管 15
厚生労働省所管 16
農林水産省所管 19
経済産業省所管 20
国土交通省所管 21
環境省所管 23
## 一 般会計債権現在額報告書(徵収停止分)

裁判所所管 24
内閣府所管 25
総務省所管 26
財務省所管 27
厚生労働省所管 28
農林水産省所管 29
経済産業省所管 30
国土交通省所管 31
(各特別会計の債権現在額報告書は債権現在額総計算書とその内容が同一であるので添付しない。)
平 成 17 年度 国 会 所 管 一 般 会 計債 権 現 在 額 報 告 書
区分及び債権の種類	本 年 度 発 生 債 権 分	前 年 度 以 前 発 生 債 権 分	合 計	備 考
履行期限到 来 額(円)	履行期限未到來額(円)	計(円)	履行期限到 来 額(円)	履行期限未到來額(円)	計(円)	履行期限到 来 額(円)	履行期限未到來額(円)	計(円)
歳 入
雑 収 入	0	0	0	863,771	9,366,652	10,230,423	863,771	9,366,652	10,230,423
国有財産利用収入
利 子 収 入
利 息 債 権	0	0	0	281	2,678,814	2,679,095	281	2,678,814	2,679,095
諸 収 入	0	0	0	863,490	6,687,838	7,551,328	863,490	6,687,838	7,551,328
弁 償 及 返 納 金
損 害 賠 償 金 債 権	0	0	0	863,490	6,519,100	7,382,590	863,490	6,519,100	7,382,590
雑 入
延 滞 金 債 権	0	0	0	0	168,738	168,738	0	168,738	168,738
歳 入 計	0	0	0	863,771	9,366,652	10,230,423	863,771	9,366,652	10,230,423
平 成 17 年度裁判所所管一般会计債権現在額報告書
区分及び債権の種類	本 年 度 発 生 債 権 分	前 年 度 以 前 発 生 債 権 分	合 計	備 考
履行期限到來額(円)	履行期限未到来額(円)	計(円)	履行期限到來額(円)	履行期限未到来額(円)	計(円)	履行期限到來額(円)	履行期限未到来額(円)	計(円)
歳 入
雑 収 入
諸 収 入	57,802,971	11,067,190	68,870,161	407,845,826	92,711,135	500,556,961	465,648,797	103,778,325	569,427,122
弁 償 及 返 納 金	57,802,971	11,063,090	68,866,061	395,903,834	66,338,394	462,242,228	453,706,805	77,401,484	531,108,289
費用弁償金債権	56,369,048	11,063,090	67,432,138	380,867,768	31,041,377	411,909,145	437,236,816	42,104,467	479,341,283
返 納 金 債 権	0	0	0	734,150	0	734,150	734,150	0	734,150
損害賠償金債権	1,433,923	0	1,433,923	14,301,916	35,297,017	49,598,933	15,735,839	35,297,017	51,032,856
雑 入	0	4,100	4,100	11,941,992	26,372,741	38,314,733	11,941,992	26,376,841	38,318,833
延 滞 金 債 権	0	4,100	4,100	7,135,463	1,527,615	8,663,078	7,135,463	1,531,715	8,667,178
利 息 債 権	0	0	0	64,741	24,845,126	24,909,867	64,741	24,845,126	24,909,867
金錢引渡請求権債権	0	0	0	4,741,788	0	4,741,788	4,741,788	0	4,741,788
歳 入 計	57,802,971	11,067,190	68,870,161	407,845,826	92,711,135	500,556,961	465,648,797	103,778,325	569,427,122
歳 入 外
歳 入 外 債 権
前渡資金返納金債権
前渡資金返納金債権
返 納 金 債 権	1,572,357	0	1,572,357	0	0	0	1,572,357	0	1,572,357
歳 入 外 計	1,572,357	0	1,572,357	0	0	0	1,572,357	0	1,572,357
合 計	59,375,328	11,067,190	70,442,518	407,845,826	92,711,135	500,556,961	467,221,154	103,778,325	570,999,479
平成17年度会計検査院所管一般会計債権現在額報告書
区分及び債権の種類	本年度発生債権分	前年度以前発生債権分	合計	備考
履行期限到來額(円)	履行期限未到来額(円)	計(円)	履行期限到來額(円)	履行期限未到来額(円)	計(円)	履行期限到來額(円)	履行期限未到来額(円)	計(円)
歳 入
雑 収 入
諸 収 入	0	0	0	36,330	0	36,330	36,330	0	36,330
弁償及返納金
損害賠償金債権	0	0	0	23,864	0	23,864	23,864	0	23,864
雑 入
利 息 債 権	0	0	0	12,466	0	12,466	12,466	0	12,466
歳 入	0	0	0	36,330	0	36,330	36,330	0	36,330
平 成 17 年度內閣所管一般会計債権現在額報告書
区分及び債権の種類	本 年 度 発 生 債 権 分	前 年 度 以 前 発 生 債 権 分	合 計	備 考
履行期限到來額(円)	履行期限未到来額(円)	計(円)	履行期限到來額(円)	履行期限未到来額(円)	計(円)	履行期限到來額(円)	履行期限未到来額(円)	計(円)
歳 入
雑 収 入
諸 収 入	0	0	0	142,465	190,394,119	190,536,584	142,465	190,394,119	190,536,584
弁 償 及 返 納 金
損 害 賠 償 金 償 権	0	0	0	142,465	187,289,731	187,432,196	142,465	187,289,731	187,432,196
雑 入
延 滞 金 償 権	0	0	0	0	3,104,388	3,104,388	0	3,104,388	3,104,388
歳 入 計	0	0	0	142,465	190,394,119	190,536,584	142,465	190,394,119	190,536,584
平 成 17 年度內閣府所管一般会計債権現在額報告書
区分及び債権の種類	本 年 度 発 生 債 権 分	前 年 度 以 前 発 生 債 権 分	合 計	備 考
履行期限到來額(円)	履行期限未到來額(円)	計(円)	履行期限到來額(円)	履行期限未到來額(円)	計(円)	履行期限到來額(円)	履行期限未到來額(円)	計(円)
歳 入
官業益金及官業收入
官 業 収 入
病 院 収 入
病院等療養費債権	68,000,905	6,455,127	74,456,032	128,985,057	0	128,985,057	196,985,962	6,455,127	203,441,089
政府資産整理収入
国有財産処分収入
国有財産売払収入
不動産売払代債権	0	0	0	12,380,099	37,986,800	50,366,899	12,380,099	37,986,800	50,366,899
雑 収 入	80,997,048	99,889,120	180,886,168	11,412,834,126	126,383,896	11,539,218,022	11,493,831,174	226,273,016	11,720,104,190
国有財産利用収入	20,163,657	1,147,080	21,310,737	134,600,634	6,502,366	141,103,000	154,764,291	7,649,446	162,413,737
国有財産貸付収入	19,101,577	687,505	19,789,082	116,954,190	0	116,954,190	136,055,767	687,505	136,743,272
公務員宿舍使用料債権	73,376	0	73,376	10,596	0	10,596	83,972	0	83,972
物件貸付料債権	19,028,201	686,240	19,714,441	116,943,594	0	116,943,594	135,971,795	686,240	136,658,035
物件使用料債権	0	1,265	1,265	0	0	0	0	1,265	1,265
利 子 収 入
利 息 債 権	1,062,080	459,575	1,521,655	17,646,444	6,502,366	24,148,810	18,708,524	6,961,941	25,670,465
納 付 金
雑 納 付 金
諸 納 付 金 債 権	54,156,000	95,300,000	149,456,000	194,854,393	2,750,000	197,604,393	249,010,393	98,050,000	347,060,393
諸 収 入	6,677,391	3,442,040	10,119,431	11,083,379,099	117,131,530	11,200,510,629	11,090,056,490	120,573,570	11,210,630,060
弁 償 及 返 納 金	6,215,050	826,354	7,041,404	11,077,845,694	107,072,528	11,184,918,222	11,084,060,744	107,898,882	11,191,959,626