There is no example of well-known companies or governments using Atala PRISM, Cardano, to implement large-scale initiatives such as medical records, and it has not achieved a big position in DID/VC
This is the total amount allocated to Atala Prism Social Implementation : One Health Project for animal with TOPPAN etc. : proof of concept for DATA Liberation from Big Tech.
General Incorporated Association meta data consortium
TOPPAN Corporation
NTT DATA Group Corporatio (Participation agreement not yat submitted)
Midori-no-Mori Animal Hospital (Green Forest Corporation)
Reiwaseda Corporation
Code for Japan
Running Home Run Corporation
Shigeru Omi
Ryusei Nagahara
Yudai Ishikawa
Creating a use case for social implementation by working with Japanese Big Companies to create medical records for animals using Atala PRISM, and makes it easy to implement human medical records
To collect data, we will implement digital transformation (DX) and introduce AI. Developing this from scratch would incur enormous costs, so we will utilize the DX tool Kintone and the ChatGPT API.
As mentioned above, in implementing digital transformation (DX) and AI, we will utilize external services. Therefore, the code related to these external services cannot be made public. However, for other components (most of the project's developed artifacts, as outlined below), we will release the code as open source, licensed under the GNU General Public License v3.0 (GPLv3):
(1)Prototype of an electronic animal medical record and lifelog (excluding AI tool for preliminary medical interviews)
(2)Prototype of a Web3 wallet tied to the animal's electronic medical record
(3)Prototype of a system in which tokens are given each time animal data is used
This license allows others to freely use, modify, and distribute our code, under the condition that any derivative work will also be open source under the GPLv3. This fosters collaboration and community-driven development, as it encourages other developers to contribute to our project, or to use our code as a starting point for their own projects, thus driving innovation in the sector.
By making our project open source, we aim to contribute to the global movement of shared knowledge and collaborative problem solving. This approach ensures transparency, promotes the sharing of knowledge, and encourages a collective approach to addressing the challenges associated with the impact job sector. Ultimately, we believe that open-sourcing our project will lead to a more robust, efficient, and impactful solution, thanks to the contributions of the global developer community.
・Assumption
Japan is one of the world's most aged societies with a declining birthrate, and there are a number of serious problems associated with this aging society, all of which are major social issues that need to be addressed as a nation. One of these problems is in the area of medical care and long-term care. While the working-age population that supports medical care is declining, the number of people requiring medical care and nursing care is increasing as the population ages. In order to avoid a collapse of medical care in the face of this continuing trend, it is inevitable to improve the level and efficiency of medical care. In terms of efficiency, we see great potential in the implementation of electronic medical records using Atala PRISM. However, while the Japanese government is also focusing on DID/VC to improve the efficiency of medical and long-term care administrative functions (Digital Japan 2024, a policy document in the digital domain in Japan, has a major concept and policy for DID/VC). ), there is still no socially implemented use case for DID/VC of medical information. This is because human medical information has high barriers to entry due to privacy and other issues. Therefore, in order to solve Japan's medical problems, we first focused on the veterinary medical field, which has low barriers to entry, including legal regulations. We partnered with NTT Data Group (docomo's sibling company), a leader in data-related businesses in Japan, and Toppan to conduct a demonstration experiment of animal medical records with the cooperation of Green Forest Animal Hospital, the largest animal hospital in Hokkaido (with over 50,000 customers and 300,000 pets' medical data), which is one of the closest to animals in Japan. By conducting this experiment, we aim to implement data management of health through DID/VC for solving medical issues and revitalizing local communities ahead of other regions, companies, and DAOs, using Atala PRISM, Cardano's DID/VC infrastructure. Through this demonstration experiment, we are also looking at linking to the human medical domain and using it for medical services across the human and animal domains through the appropriation of know-how. In addition to contributing to the medical and health fields, we hope to eliminate the problems of exploitation of data providers and users due to the oligopoly of data by Big Tech, as well as restrictions on the scope of data utilization.
Such collaboration and activities themselves will greatly increase awareness of Cardano, and pave the way for the actual adoption of Atala PRISM not only in Japan, but also in the medical field for animals and humans worldwide. This collaboration and demonstration will also serve as a major advertisement to promote the adoption of Atala PRISM as a DID/VC platform in general, not just in the medical field.
・Our Approach
In order to achieve the above goals, we will first establish a consortium to study ideal data collection and utilization, discuss theory building, and then conduct a demonstration experiment based on the theory using an electronic medical record for pets.
In this CATALYST, the following four steps will be carried out using the funds.
1. Discussion on data collection and data utilization
2. Development of various tools necessary to conduct demonstration experiments based on the examined theory
3. Conducting demonstration experiments related to data collection
4. Study on the utilization of the collected data.
In the above four steps, we will examine how DID/VC data and big data can be utilized, and conduct demonstration experiments to collect data in a manner that meets these needs, with the aim of implementing Cardano in society.
The outline of each step is as follows
Step 1 Theoretical study: Discussions will be held within a consortium of leading Japanese data-related businesses on the ideal form of data for utilizing DID/VC data and Big Data, incentive design within the ecosystem, decision-making algorithms for system changes, cash points, businesses and services to be partnered, etc. Discussions and deliberations will be held within the consortium led by Japan's leading data-related businesses.
Together with the co-proposers and partners, gather large companies, start-ups, and local governments with large amounts of various data in Japan to participate in this study.
The following is a conceptual diagram of the envisioned project.
Step 2 Tool development: Develop a prototype reflecting the theories and concepts discussed in Step 1 so that the following flow can be realized.
Create a form in which animal (pet) and veterinary hospital data, which are not fully databased to begin with, are linked to the DID and stored (DX, electronic medical records). Then, if necessary, VC will be performed. Then, create a form in which cardano chains and Dapps can also be used to utilize the data while also returning revenue.
As for data management, we are considering using Midnight, a side chain of cardano.
Specifically, the following will be developed.
(1) Develop a prototype of a DX tool to collect data from veterinary hospitals.
(2) Electronic animal medical records and life logs (AI tool for preliminary medical interviews will also be created).
(3) web3 wallet linked to electronic animal records
(4) A system in which tokens are given each time animal data is used.
Step 3 Demonstration Experiment: A demonstration experiment was started in Asahikawa City, Hokkaido. Pet electronic medical records and DX tools are used at Green Forest Veterinary Hospital, Hokkaido's largest veterinary hospital, to collect pet-related health data and data that can be provided by veterinary hospitals. While converting the data into big data, edit the data so that companies other than veterinary hospitals can utilize the data.
Step 4: Consideration of utilization: The companies and local governments participating in Step 1 will consider how the specific DID/VC and Big Data obtained in the demonstration experiment can actually be utilized, and what additional ai/web3 tools are needed to promote utilization.
After the catalyst is completed: Budgeting (Digital Rural City National Initiative grants from Japanese Government and budgets from each company, etc.) to deploy the assembled concept in all areas and industries. Then, the concepts developed in Step 4 will be vertically and horizontally deployed in combination with the resources, applications, and services of the companies and municipalities that participated in Step 4. At that time, the following will also be developed: updates to each prototype, development of tools to make big data usable using AI, APIs to enable each business to receive personal and corporate data provided and link it to their own systems, AI tools to match each data with the businesses and individuals who need it, and so on. We will also develop AI tools and other tools to match businesses and individuals with the data they need. In addition, the project is also looking to make policy recommendations, and to make policies and revise the Personal Information Act Protection Law (making the right of data portability a legal requirement).
・What we develop
By using Atala PRISM's DID/VC solution for data collection and utilization, we will expand the range of data utilization and pave the way for more effective use of data in Japan.
As for data management, we are considering using Midnight, a side chain of cardano.
1. Prototype of a DX tool to collect data from veterinary hospitals
Conduct interviews and analysis with Green Forest Veterinary Hospital regarding the workflow of the veterinary hospital and the existing SaaS in use, and examine and identify when data that cannot be obtained directly from owners and animals can be obtained and what data can be DXed using AI (ChatGPT's API) among the data related to Green Forest Veterinary Hospital. The data will be examined and identified when data that cannot be obtained directly from owners and animals can be obtained and what can be DXed using AI (ChatGPT API). This will make it possible to acquire data that will be managed/utilized by businesses using the Cardano blockchain and Atala PRISM's DID/VC.
After DXing using AI, etc., devise operational flows for operations that can obtain data that cannot be obtained directly from owners/animals (promotion, inventory management, and reservation management are assumed, to be determined after interviews, organization, and analysis), and create a prototype of a DX tool for system construction based on the operational flow for each operation. Create a prototype of the system-building DX tool based on each operational flow.
The prototype will utilize KINTONE and AI using ChatGPT.
Diagram of the configuration (specific functions and UI/UX will be determined after interviews, organization, and analysis)
2. Prototype of an electronic animal medical record and life log (also created an ai tool for preliminary medical interview)
Interview, organize, and analyze Green Forest Veterinary Hospital regarding its workflow for advance medical interviews, medical examinations, and prescriptions, information to be entered in medical records, and existing SaaS in use. Establish the operational flow of the work in question, and create a system for preliminary medical interview and electronic medical record creation based on the operational flow, while also utilizing AI (ChatGPT API).
The following functions will be implemented using Atala PRISM as an application that can be operated by the owner.
(1) Preliminary medical interview response function
(2) DID assignment function for each pet
(3) Function for storing pet information and medical record information for each pet
(4) A function that allows users to select a portion of the stored pet information and medical record information to be issued and displayed as a VC.
(Specific functions and UI/UX will be determined after interviews, organization and analysis.)
(1) AI Chat Service Benefit 1: Reduction of communication costs through AI medical interview service
Introducing AI medical interview. By conducting the medical interview in advance, we will cut down on complicated interactions after the patient's visit.
(2) AI Chat Service Benefit 2: Instant resolution of small concerns and worries about pets
When you post daily concerns such as “My pet is not taking his/her medicine” or “He/she looks unwell” to the chat service, a veterinarian or an AI doctor utilizing ChatGPT will reply to you. All the chats are reflected in the electronic medical record and confirmed by the veterinarian in charge. You can know your pet's body in chronological order. Details are shown in the figure below.
3. Prototype of a web3 wallet linked to electronic animal medical records
The DID wallet, where VC is stored, is not connected to the web3 wallet, where tokens, cryptographic assets, and NFTs are stored, and there are technical hurdles in realizing a system where tokens, etc. are given to the web3 wallet according to the behavior of the DID wallet.
As a prototype, the DID wallet of a specific animal is managed by the owner as a backend system for the electronic medical record and lifelog described in 2, and is connected to the owner's web3 wallet.
4. Prototype of a system in which animal data is given a token each time it is used.
In accordance with the theoretical study and the utilization study, the degree to which tokens will be granted when and how data is used will be considered.
Depending on the study, a prototype system will be developed in which tokens will be given to the owner's web3 wallet every time data accumulated in the electronic medical records and life logs in 2, or every time VC is incorporated into Big Data, or every time VC is used by a business (Depending on the type of data and VC and how it is used, tokens may not be granted.). Since the regulation under the Funds Settlement Law could be an issue if tokens are granted in the public chain, the prototype will issue tokens off-chain or in a closed on-chain manner.
As a premise, it is predicted that the area of data utilization through the introduction of web3 technology, etc. will grow even larger than the fintech area (some estimates are in the trillions of dollars in a few years:https://www.gii.co.jp/report/grvi1363031-blockchain-technology-market-size-share-trends.html).In this context, the standards proposed by organizations such as W3C and BGIN (a Japanese study group), which are trying to set global standards for the use of DID/VC and web3 technology for data utilization, are being discussed in a manner that is not dependent on any specific blockchain or technology, The use cases and the infrastructure of the entities conducting the discussions are EVMs, and currently there is very little room for cardano to enter the area concerned. In terms of the choice of infrastructure, it is believed that if cardano does not take the lead in creating a global standard and de facto standard in the data/web3 domain, where network effects are likely to work, or at least take a position where it can participate, it will be difficult to participate in the huge market in the future. In this context, the consortium that will be launched in this project is expected to be a key player.
In this context, the consideration of DID/VC utilization of Cardano in the consortium to be launched in this project itself will significantly increase the recognition of Cardano and Atala PRISM, and will be a key factor in the global expansion of Cardano as a public blockchain, both in Japan and globally as a national policy. It is expected to make a significant contribution to improving Cardano's status as a public blockchain and gaining market share.
One of the reasons for this is the influence of the Consortium. At present, participation by the NTT DATA Group and TOPPAN Holdings in this consortium has been confirmed. The NTT DATA Group has a market capitalization exceeding 3 trillion yen (as of October 29, 2024), while TOPPAN Holdings has consolidated sales exceeding 1.6 trillion yen (for the fiscal year ending March 2024) and a market capitalization of over 1 trillion yen (as of November 7, 2024). These companies are among Japan’s leading IT corporations, wielding significant influence in the market. The fact that a consortium led by NTT Data Group and TOPPAN Holdings will conduct a demonstration experiment using Cardano's DID will not only raise awareness of Cardano, but will also have a sufficient impact to promote the adoption of Cardano in other Dapps and applications in Japan, where the government is recommending Web3. This will have a sufficient impact to increase the number of Cardano developers and increase the number of transactions.
This is a demonstration experiment in a consortium that has established a major concept and policy for DID/VC, which was proposed to the Digital Society Promotion Headquarters of the Liberal Democratic Party (LDP), Japan's ruling party, and included in “Digital Japan 2024,” a policy document on the digital domain in Japan. In addition, the project has already been supported by Representative Kawasaki, Secretary General of the LDP's Web3PT, and there is a high possibility that the project will be promoted as a national policy.
The Japanese pet market as a whole is expected to be worth approximately 1.7 trillion yen in 2022, and while it was approximately 1.5 trillion yen in 2020, the market has been increasing every year. The pet insurance market is also expected to grow, with an estimated market size of approximately 90 billion yen in 2022, due to the aging of pets and increased pet owner awareness. The pet food market is also expected to grow in 2021. The pet food market is also expected to grow in 2021 and is worth approximately 450 billion yen. In addition, the use of Cardano's Dapps, NFT, and DID/VC in related markets could have a very large economic and cognitive impact on the Cardano community.
Furthermore, after completing the pet health data demonstration, the company is considering horizontal expansion into the area of human health data, an area that is not only of great interest in Japan, which has one of the lowest birthrates and aging populations in the world, but is also attracting attention as the trend of declining birthrates and aging populations is approaching in developed countries around the world. In this sense, it is expected that recognition and expectations for Cardano will increase significantly through this project.
In the future, the entire solution (animal medicine, human medicine, and other industries) will be packaged to be globally accepted, with a view to establishing itself as the de facto standard for data utilization. Cardano's solutions can become the global standard for blockchain-based data personalization, selective self-disclosure, and cross-functional use of disclosed data and big data.
Both the consortium that will play a central role in this project and the organizations that will cooperate in the demonstration experiment have a great deal of influence and experience in this area, and we believe that we can fully guarantee the feasibility of the project by leveraging their knowledge and resources.
The consortium is led by the NTT DATA Group (consolidated sales: 4,367.4 trillion yen, which is the core of the consortium. 4,367.4 billion yen (as of March 31, 2024), market capitalization of over 3.69 trillion yen (as of November 7, 2024)), which is the core of the consortium, has a large influence in Japan as mentioned above, and also has the following achievements in the context of web3x data utilization.
Develops and provides “KayTrust™“, a self-sovereign distributed identity and authentication information management solution(https://8knot.nttdata.com/solution/product/7988381)。KayTrust is a solution that leverages blockchain technology to enable users to manage their own decentralized identities and digital credentials autonomously and securely.
In addition, we have launched “web3 Sherpa“, a web3 development support program, in collaboration with Hakuhodo and Star Tail Labs, to provide integrated support for corporate web3 development projects.(https://prtimes.jp/main/html/rd/p/000000018.000114677.html)
TOPPAN Holdings, which is also participating in the consortium, is one of the leading companies in Japan with consolidated sales of over 1.6 trillion yen (as of March 2024) and a market capitalization of over 1 trillion yen (as of November 7, 2024), and has the following achievements in the context of web3x data utilization.
In addition, Green Forest Veterinary Hospital, which will cooperate in the data collection demonstration experiment, has been developing its own electronic medical record out of a sense of crisis over the man-hours required for on-site veterinary care since before the start of this project, and will not only be able to utilize its know-how, but also to make a significant contribution through its network as the largest animal hospital group in Hokkaido with a total of over 50,000 patients and approximately 100,000 cases treated annually. As the largest veterinary hospital group in Hokkaido, with a total of more than 50,000 patients and approximately 100,000 cases treated annually, we can expect to make a significant contribution to obtaining business partners for demonstration tests and future data utilization through our network. In addition, the company has a good relationship with local governments through its ongoing activities and expects to form alliances with Asahikawa City and other local governments in Hokkaido.
In addition, as shown below, our partners have deep knowledge and experience in the development side of the business.
●Code for Japan
●Reiwaseda Corporation
In addition, a company with an established reputation in the cardano and DID/VC industries (confidentiality reasons prevent us from disclosing this information at this time) will be participating in the project.
The feasibility of this project is extremely high, as each of them has a perspective from their field of expertise and experience, and are committed to refining and expanding our product platform using Web3 technology.
Please see the Team Members section for an overview of each.
General Incorporated Association Code for Japan
Code for Japan is a non-profit organization established in 2013 with the aim of solving local issues through the use of IT technology. Based on the concept of “Thinking Together, Creating Together,” Code for Japan works to promote a society where social issues can be solved by citizens alone or in collaboration with citizens and governments through co-creation. Specific activities include supporting the creation of communities where citizens can take the initiative in solving problems and dispatching private sector personnel to local governments. We have also been involved in supporting the use of open data by local governments and approaches to solving local issues using data, and have a number of achievements in data utilization. we have expertise in EVM-based DID/VC development.
NTT DATA Group Corporation (Participation agreement not yat submitted)
https://www.nttdata.com/global/ja/
NTT DATA Group Corporation is a systems integrator and the largest IT services company in Japan and the 6th largest in the world in terms of revenue. In the web3 domain, NTT DATA Group develops and provides KayTrust™, a self-sovereign distributed ID, and offers BlockTrace services using Blockchain technology. We will support you with both knowledge and implementation experience.
TOPPAN Corporation
Toppan is a Japanese general printing company, one of the top two printing companies in Japan and one of the largest general printing companies in the world. Toppan is one of the largest integrated printing companies in Japan and one of the two largest in the Japanese printing industry, as well as one of the largest integrated printing companies in the world, In the context of web 3.0, the company is leading Japan with the world's first demonstration of a Web 3.0 wallet using photo-real avatars3.
Panasonic Corporation (under consideration)
https://holdings.panasonic/jp/
Panasonic Holdings Corporation is the parent company of one of Japan’s major electronics manufacturers, with a market capitalization exceeding 3 trillion yen (as of November 6, 2024), making it a highly influential company in the Japanese market. Leveraging its extensive resources, Panasonic is also a leader in the blockchain domain, collaborating with Dentsu Group Inc. and others on Project 1, a blockchain-based platform aimed at promoting socially responsible actions addressing environmental and human rights issues.
Midori-no-Mori Animal Hospital Group
Midori-no-Mori Animal Hospital is the largest group hospital in Hokkaido, and the total number of cases treated annually at all group hospitals is the largest in Hokkaido at approximately 100,000. Centered on the Asahikawa-based Asahikami Center Hospital, the hospital continues to protect the health of pets and animals in Hokkaido through its seven locations throughout the prefecture.
Reiwaseda Corporation
Reiwaseda is a Japanese startup company that develops businesses centered on creative production of videos and music, and related artificial intelligence and software development.The company has strengths in the areas of artificial intelligence and software development, including the development of a SaaS that automates simple tasks for creators.
Shigeru Omi
He has in-depth knowledge and experience in international public health and infectious disease control, as well as national and international health policy, as described below.
web3 engineer Yudai Ishikawa
Biography:
After working on the development of exchange custodial wallets, research and proposals for digital wallets, and technical research at CodeFox, he gained experience working with overseas teams on dynamic NFTs and wallet development, as well as technical research and construction of DID and VC. He is currently working as a digital platformer, designing DID and VC architecture and developing smart contracts in Rust.
Milestone 1: 2025/1~2025/3
Theoretical study on consortium start-up and data handling
Milestone 1 will produce the following outputs (deliverables):
Establish a consortium of leading Japanese data-related businesses and experts to discuss and examine the design of incentives within the ecosystem, decision-making algorithms for system changes, cash points, and businesses and services to partner with in utilizing DID/VC data and big data. Establish a consortium of leading Japanese data-related businesses and experts to discuss and consider decision-making algorithms, cash points, businesses and services to be partnered, etc. To this end, the consortium will gather together with co-proposers and partners, large companies, start-ups, and local governments with large amounts of various data in Japan that will participate in the discussions. NTT DATA Group, TOPPAN will cooperate in the launch of the consortium and serve as key members of the discussions within the consortium, with Dr. Shigeru Omimi joining as an advisor.
In order to deliver the above deliverables, the following activities will be conducted
Periodic study meetings: Study meetings will be held in a consortium consisting of Japan's leading data-related businesses and experts (12 meetings in total).
Promotion to involve related businesses: Online information sessions will be held to gather large companies, start-ups, and local governments with large amounts of various data in Japan that will participate in the study (6 times in total),
Research: Conduct research necessary to determine the ideal way to utilize DID/VC data and big data, including incentive design within the ecosystem, decision-making algorithms for system changes, etc.
Documentation: Create output documents for ideal diagrams regarding incentive design within the ecosystem, decision-making algorithms for system changes, etc. for utilizing DID/VC data and Big Data.
If the deliverables meet the following criteria, the project will be considered “Accepted”.
(1) Minutes and recordings of the meetings related to the above meetings are available to the public.
(2) Research: The necessary stakeholders are identified and the interviews conducted with them are compiled, and the information necessary for this future movement (development, etc.) is covered.
Evidence of Milestone Completion
The following should be submitted as evidence of milestone completion
(1) Output documents of the ideal diagram of how data should be used to utilize DID/VC data and big data, including incentive design within the ecosystem and decision-making algorithms for system changes, etc.
(2) A list of companies that participated in the review and discussion. (Companies participating in the consortium will make their names public, while companies that only participate will make their initials public. The public address will be limited to reviewers)
Milestone 2: 2025/04~2025/05
Research to develop the tools needed for the demonstration
Milestone 2 will produce the following outputs (deliverables):
In line with the concept examined in Step 1, an electronic animal medical record and life log (also create an ai tool for preliminary medical interviews), a web3 wallet linked to the electronic animal medical record, a token given each time animal data is used, and a DX tool prototype for collecting animal data. In order to develop a prototype of the system and a DX tool for collecting animal hospital data, the following items will be interviewed, researched, organized, and analyzed to devise an operational flow for each task. Code for Japan, web3 engineer Yudai Ishikawa, Reiwaseda, and a development company that cannot be disclosed will be mainly in charge of this project. Green Forest Veterinary Hospital will cooperate in the hearings and research for the demonstration experiment.
(1) Data related to the Green Forest Veterinary Hospital, including data that cannot be obtained directly from owners or animals, and the timing of when this data can be obtained and what can be DX'd using AI.
(2) Workflow related to preliminary medical interviews, medical examinations, and prescriptions at the veterinary hospital, information in medical records, and the existing SaaS in use.
(3) Workflow of veterinary hospitals other than the above, SaaS in use
(4) In accordance with the theoretical study, what kind of data and to what extent tokens will be given when and how the data is used.
In order to deliver the above deliverables, the following activities will be conducted
Hearings: Hearings with Green Forest Veterinary Hospital (and other veterinary hospitals if necessary) regarding (1) to (4) above.
Research: Research on similar services and Saas in use
Organization and analysis: Based on the results of Milestone 1, interviews, and research, organize and analyze the existing workflow and issues, and the contents of the data items and medical records being obtained, and then devise an operational flow for each task.
Token design: In accordance with the theoretical study, consider what data should be given tokens when and to what extent they are used.
When the deliverables meet the following criteria, they shall be considered “acceptable.
(1) Hearings: Conduct a total of three hearings with Green Forest Veterinary Hospital regarding data that can be collected, data with high potential for use, etc.
(2) Preparation and submission of materials that comprehensively summarize the content of the hearings described in (1) above.
Evidence of Milestone Completion
The following items shall be submitted as evidence of milestone completion:
Documents that summarize and analyze the existing workflow and issues, data items being collected and the contents of medical records, newly devised operational flow documents for each task, and initial token design (assuming updates).
Milestone 3: 2025/06~2025/07
Finalize specifications and UI/UX for development of tools required for demonstration testing
Milestone 3 will produce the following outputs (deliverables):
Create specifications and mocs for prototypes of the following tools or systems and finalize UI/UX. Code for Japan, web3 engineer Yudai Ishikawa, Reiwaseda, and a non-publishable development company will play a central role in designing the specifications.
DX tool to collect data from veterinary hospitals
・Electronic medical records and life logs of animals (ai tool for preliminary medical interviews will also be created)
A web3 wallet linked to the animal's electronic medical record.
A system in which tokens are given each time animal data is used.
In order to deliver the above deliverables, the following activities will be undertaken
Creation of specifications: Based on the research conducted in Milestone 2, create prototype specifications for the above tools or systems.
Creation of moc: Design UI/UX using figma, etc., and create moc.
If the deliverables meet the following criteria, the project will be considered “Accepted”.
(1)Creation of specifications for the above tools and systems
(2)Completion of moc based on the specifications
Evidence of Milestone Completion
The following shall be submitted as evidence of milestone completion:
Specifications, moc, including UI/UX of the prototype of the following tools or systems
Electronic animal medical records and life logs (also create ai tool for preliminary interview)
A web3 wallet linked to the animal's electronic medical record.
A system in which tokens are given each time animal data is used.
DX tool to collect animal hospital data
Milestone 4: 2025/07~2025/09
Development of tools necessary for demonstration experiments
Milestone 4 will produce the following outputs (deliverables):
The following tools or systems will be developed. The system development will be continued from Milestone 3, with Code for Japan, web3 engineer Yudai Ishikawa,Reiwaseda, Reiwaseda, and a non-publicly traded development company to lead the development of the system as a central part of the system.
(1) DX tools to collect data from veterinary hospitals
Assuming promotion operations, inventory management, reservation management, to be finalized after hearing, organizing and analyzing Milestone 2.
(2) Electronic medical records and life logs of animals (ai tool for preliminary medical interviews will also be created)
System for preliminary medical interview and electronic medical record creation
An application for use by pet owners that utilizes Atala PRISM and has the following functions:
・Preliminary medical interview function
・DID assignment function for each pet
・Storage of pet information and medical record information for each pet
・A function to select a part of the stored pet information and medical record information, and issue and display it as VC.
(3) Web3 Wallet linked to electronic animal medical records
A system in which the owner manages the DID wallet of a specific animal as a back-end system for the electronic medical record and life log of the animal, and the system in which the owner's web3 wallet is linked to the DID wallet of the animal and the system in (4) functions.
(4) A system in which a token is given each time animal data is used.
A prototype system that reflects the token design of Milestone 3, in which a token is given to the owner's web3 wallet every time data stored in electronic medical records and life logs, or VC is incorporated into Big Data, or VC is used by a business.
In order to deliver the above deliverables, the following activities will be carried out
Front-end development at a level that can be used in the operations of Green Forest Veterinary Hospital
Back-end development
Blockchain development
Unit testing
Manual testing
Bug fixes
Creation of demo video
When the deliverables meet the following criteria, they shall be considered “Accepted”.
(1) Completion of the above system and tool development
(2) Correction of bugs that occurred in (1) above
Evidence of Milestone Completion
The following shall be submitted as evidence of milestone completion
(1) Demo video of the application on YouTube: publicly available and freely accessible to the community
(2)Code of the publicly available part of the application will be made available to the community on Github
Milestone 5: 2025/10~2025/11
Conduct demonstration tests using the developed tool
Milestone 5 will produce the following outputs (deliverables):
A demonstration experiment was started in Asahikawa City, Hokkaido, Japan. The developed pet electronic medical records and DX tools will be used at Midori-no-Mori Animal Hospital, the largest animal hospital in Hokkaido, to collect health data on pets and other data that can be provided by veterinary hospitals. The data will be converted into big data and edited for use by companies other than veterinary hospitals. Green Forest Veterinary Hospital will fully cooperate with the demonstration experiment.
In order to deliver the above deliverables, the following activities will be conducted:
・User onboarding
・Demonstration experiment (implementation of the tool and actual utilization)
・Compilation of data in a form that allows companies other than veterinary hospitals to utilize the data while converting the data into big data (if necessary, the existing 300,000 veterinary medical data held by Green Forest Veterinary Hospital will also be utilized)
・User acceptance testing
・Bug fixes if necessary
・Analysis of user feedback
・Creation of a report on the demonstration experiment
When the deliverables meet the following criteria, they shall be considered “Accepted”.
(1) Implementation in operations to Green Forest Veterinary Hospital
(2) Acceptance of the Green Forest Veterinary Hospital's cooperation in the demonstration experiment
(3) Preparation and submission of a report summarizing issues and points for improvement related to data extraction and big data for social implementation that were identified through the demonstration experiment.
Evidence of Milestone Completion
The following items will be submitted as evidence of the completion of milestones:
(1) Prepare and submit a report on the demonstration experiment that meets the above acceptance criteria.
Milestone final: 2025/12~2026/1
Consideration of the use of collected data
The milestone final will produce the following outputs (deliverables):
Examination of how DID/VC and Big Data can be utilized by companies and local governments participating in Step1 and what ai/web3 tools are necessary to promote their utilization. This study will be conducted by the consortium, with NTT Data Group, TOPPAN playing a central role in the discussions, and Dr. Shigeru Omimi joining as an advisor.
In order to deliver the above deliverables, the following activities will be conducted
Periodic study meetings: Using the data and big data acquired and compiled in Milestone 5, a consortium of leading Japanese data-related businesses and experts will hold study meetings on how DID/VC and big data can be used and what ai/web3 tools are necessary to promote their use. What kind of ai/web3 tools are necessary to promote the use of DID/VC and big data?
Research: Conduct necessary research, including research on similar cases of utilizing DID/VC data and big data.
Documentation: Create output documents on how DID/VC and big data can be used by companies and local governments participating in Milestone 1, and what ai/web3 tools are needed to promote their use.
Reporting: Closeout reports and closeout videos will be created.
If the deliverables meet the following criteria, “Pass” will be given.
(1) Conducting the above study session
(2) Preparation and submission of materials summarizing issues and points to be improved, including specific applications of the extracted data and big data-enabled information and the tools necessary to realize them, based on the content discussed at the above study session.
Evidence of Milestone Completion
The following shall be submitted as evidence of milestone completion
(1) Creation of a document that meets the above acceptance criteria (open to the public and freely accessible to the community)
(2) Google Document or Notion closeout report: publicly available and freely accessible to the community
(3) Closeout video: publicly available to the community on YouTube
Project team members and their respective roles are listed below.
General Incorporated Association meta data consortium
Company Profile:
A consortium-type general incorporated association, consisting of the members of this team, that studies the ideal use of data and develops and manages tools in the form of OSS that provide the necessary infrastructure for the use of data. It also serves as a counterpart to the government.
Role:
・Oversee the entire project.
・Organize regular study sessions to discuss and formulate opinions on the ideal way to utilize DID/VC data and Big Data, including incentive design within the ecosystem, decision-making algorithms for system changes, cash points, and businesses and services to be partnered with.
・Involve large companies, start-ups, and local governments with large amounts of various data in Japan that will participate in the study.
・The project team will prepare an output document of an ideal diagram of the design of incentives in the ecosystem for utilizing DID/VC data and big data, and decision-making algorithms for system changes, etc., and summarize feedback, etc.
・While converting data into big data, compile feedback on data compilation proposals that can be utilized by companies other than veterinary clinics.
・Hold regular study meetings to discuss and summarize opinions on how DID/VC and Big Data can be utilized and what ai/web3 tools are needed to promote their utilization, using the data and Big Data acquired and compiled in Milestone 5.
・We will prepare output documents on how DID/VC and Big Data can be utilized and what kind of ai/web3 tools are necessary to promote their utilization, and summarize feedback, etc.
TOPPAN Corporation / NTT DATA Group Corporation (Participation agreement not yat submitted) / Panasonic Corporation (under consideration)
Company: As above
Role:
・Participate in regular study sessions to discuss and provide opinions on the ideal way to utilize DID/VC data and big data, including incentive design within the ecosystem, decision-making algorithms for system changes, cash points, and businesses and services to partner with.
・Cooperate in involving large companies, startups, and local governments with large amounts of various data in Japan that will participate in the study.
・Cooperate in the creation of output materials for the ideal diagram of the design of incentives in the ecosystem for utilizing DID/VC data and big data, and decision-making algorithms for system changes, etc., and provide feedback, etc.
・Provide feedback on the proposal for editing data in a way that companies other than veterinary clinics can utilize the data while converting it into big data.
・Participate in regular study meetings to discuss and provide opinions on how DID/VC and Big Data can be utilized and what ai/web3 tools are needed to promote their utilization, using the data and Big Data acquired and compiled in Milestone 5.
・Cooperate in the preparation of output materials on how DID/VC and Big Data can be utilized and what kind of ai/web3 tools are needed to promote their utilization, and provide feedback, etc.
※In addition, Hitachi Corporation and Japan Airlines Corporation are also preparing for approval on the assumption that they will participate.
General Incorporated Association Code for Japan / web3 engineer Yudai Ishikawa
Company: As above
Role:
・Participate in regular study sessions to discuss and provide opinions on the ideal way to utilize DID/VC data and big data, including the design of incentives within the ecosystem, decision-making algorithms for system changes, cash points, and businesses and services to partner with.
・Help to involve large companies, start-ups, and local governments with large amounts of various data in Japan that will participate in the study.
・Cooperate in the creation of output materials for the ideal diagram of the ecosystem for utilizing DID/VC data and big data, including incentive design and decision-making algorithms for system changes, etc., and provide feedback, etc.
・The project team will share PdM for tool development and demonstration experiments in general.
・With the support of cardano and a company that is well known and highly regarded in the DID/VC industry (cannot be disclosed at this time due to confidentiality issues), develop a prototype of an electronic animal medical record, a prototype of a web3 wallet linked to the electronic animal medical record, and a prototype of a system where tokens are given each time animal data is used. The work related to the prototyping of the system will be shared among the team members.
・The project team will also provide feedback on the compilation of data in a form that can be used by companies other than veterinary clinics, while converting the data into big data.
・Participate in regular study meetings to discuss and provide opinions on how DID/VC and Big Data can be utilized and what ai/web3 tools are needed to promote their utilization, using the data and Big Data acquired and compiled in Milestone 5.
・Cooperate in the preparation of output documents on how DID/VC and Big Data can be utilized and what kind of ai/web3 tools are needed to promote their utilization, and provide feedback, etc.
Reiwaseda Corporation
Company: As above
Role:
・Participate in regular study sessions to discuss and provide opinions on the ideal way to utilize DID/VC data and big data, including the design of incentives within the ecosystem, decision-making algorithms for system changes, cash points, and businesses and services to partner with.
・Help to involve large companies, start-ups, and local governments with large amounts of various data in Japan that will participate in the study.
・We will cooperate in the preparation of output materials for the ideal diagram of the design of incentives in the ecosystem for utilizing DID/VC data and big data, and decision-making algorithms for system changes, etc., and provide feedback, etc.
・Work on the prototyping of ai tools for preliminary interviews.
・To create a prototype of a DX tool for collecting data from veterinary clinics.
・Provide feedback on the proposal to edit the data in a way that companies other than veterinary clinics can utilize the data while converting it into big data.
・Participate in regular study meetings to discuss and provide opinions on how DID/VC and Big Data can be utilized and what ai/web3 tools are needed to promote their utilization, using the data and Big Data acquired and edited in Milestone 5.
・Cooperate in the preparation of output documents on how DID/VC and Big Data can be utilized and what kind of ai/web3 tools are needed to promote their utilization, and provide feedback, etc.
Midori-no-Mori Animal Hospital Group
Company: As above
Role:
・Participate in regular study sessions to discuss and provide opinions on the ideal way to utilize DID/VC data and big data, including the design of incentives within the ecosystem, decision-making algorithms for system changes, cash points, and businesses and services to partner with.
・Help to involve large companies, start-ups, and local governments with large amounts of various data in Japan that will participate in the study.
・Cooperate in the creation of output materials for the ideal diagram of the design of incentives within the ecosystem for utilizing DID/VC data and big data, decision-making algorithms for system changes, etc., and provide feedback, etc.
・In the overall development of the tools, the project team will respond to hearings and introduce the subjects of hearings as necessary.
・In the demonstration experiment, the developed tools will be introduced and utilized, and data that can be disclosed will be made available in a form that can be provided. Provide statistics on the 300,000 pieces of animal medical data already in our possession as needed. Provide feedback.
・Introduce animal-related businesses that will participate in the demonstration experiment, if necessary.
・Provide feedback, etc., on the idea of compiling the data in a form that will enable companies other than veterinary hospitals to utilize the data while converting it into big data.
・Participate in regular study meetings to discuss and provide opinions on how DID/VC and Big Data can be utilized and what ai/web3 tools are needed to promote their utilization, using the data and Big Data acquired and compiled in Milestone 5.
・Cooperate in the preparation of output documents on how DID/VC and Big Data can be utilized and what kind of ai/web3 tools are needed to promote their utilization, and provide feedback, etc.
Running Home Run Corporation
Company:
Running Home Run is a “concept-making company” with its main focus on creative and branding projects. We are strong in verbalizing the concepts that form the core of companies, organizations, and services, and we provide a wide range of value in the form of concept-driven promotion of all projects.
Role:
・Performs corporate functions for the project as a whole.
・He will also be responsible for the preparation of necessary explanatory materials.
・Team building.
RULEMAKERS DAO Core Member Yoshitaka Shiozawa
Biography:
Served as secretary to Soichiro Imaeda, Member of the Diet, etc.
Role:
・The secretariat functions as a liaison to each company in the study of data collection and data utilization, and in the study of the utilization of collected data.
Lawyer Kotaro Motojima and lawyers specializing in web3&medical
Biography:
Linked in:
Facebook:https://www.facebook.com/profile.php?id=100005443297293
He specializes in startups, technology (FinTech, web3, metaverse, data/privacy/AI, medical/pharma/biotech, general R&D, etc.), regulatory reform/policy development, and China-related legal matters. Drawing on his own entrepreneurial experience and experience managing entrepreneurial communities, he provides legal support from both the startup/researcher side and the VC/larger company side, and brings a business consulting perspective to his work.
Role:
・Participate in regular study sessions to discuss and provide opinions on the ideal way to utilize DID/VC data and big data, including the design of incentives within the ecosystem, decision-making algorithms for system changes, cash points, and businesses and services to partner with.
・Help to involve large companies, start-ups, and local governments with large amounts of various data in Japan that will participate in the study.
・Cooperate in the preparation of output materials for the ideal diagram of the way data should be used in utilizing DID/VC data and big data, including incentive design within the ecosystem and decision-making algorithms for system changes, etc., and provide feedback, etc.
・The project team will also provide legal checks on legal aspects centering on the Personal Information Protection Law, and prepare necessary contracts, etc.
・Provide feedback on the proposal for editing data in a way that companies other than veterinary clinics can utilize the data while converting it into big data.
・Participate in regular study meetings to discuss and provide opinions on how DID/VC and big data can be utilized using the data and big data acquired and compiled in Milestone 5, and what kind of ai/web3 tools are needed to promote their utilization.
・Companies and local governments participating in Milestone 1 will cooperate in the preparation of output materials on how DID/VC and Big Data can be utilized and what ai/web3 tools are needed to promote their utilization, and provide feedback, etc.
Shigeru Omi
Company: As above
Role:
As a leading expert in the healthcare and medical data domain, the candidate will
・Participate in regular study groups to discuss and provide opinions on the ideal way to utilize DID/VC data and big data, including the design of incentives within the ecosystem, decision-making algorithms for system changes, cash points, and businesses and services to partner with.
・Help to involve large companies, start-ups, and local governments with large amounts of various data in Japan that will participate in the study.
・Cooperate in the preparation of output materials for the ideal diagram of the design of incentives in the ecosystem for utilizing DID/VC data and big data, and decision-making algorithms for system changes, etc., and provide feedback, etc.
・Participate in regular study sessions to discuss and provide opinions on how DID/VC and big data can be utilized and what ai/web3 tools are needed to promote the utilization of DID/VC and big data using the data and big data acquired and compiled in Milestone 5.
・Companies and local governments participating in Milestone 1 will cooperate in the preparation of output materials on how DID/VC and Big Data can be utilized and what ai/web3 tools are needed to promote their utilization, and provide feedback, etc.
Ryusei Nagahara
Biography:
He has been involved with Cardano since he was in high school and became a validator of Cardano at the age of 17.
He also publishes on YouTube, specializing in Cardano information dissemination, and is one of the top Cardano YouTubers in terms of number of subscribers.
He is a core member and advisor of Intersect Japan Hub and organizes many events and workshops in Fukuoka.
Role:
・Mainly in charge of communication with Cardano Secretariat for smooth progress of this project.
HLD Lab Corporation Daishiro Okada
Biography:
https://www.facebook.com/daishiro.okada
Former President and COO of Square Enix, Inc. in the U.S., President and CEO of HLD Lab, Inc., Vice President of Facility and Office Services Consortium (FOSC), Director of Japan Life Shift Association, Director of General Incorporated Association, Director of General Incorporated Association Game Culture Association, and President of Japan Artists Aid Association.
Role:
・Help to involve large companies, start-ups, and local governments with large amounts of various data in Japan that will participate in the study.
Total 1,999,000ADA
Hourly rate(general):$50=150ADA
Hourly rate(Professional):$300=900ADA
Milestone 1: Theoretical study on consortium start-up and data handling
300,000 ADA
Periodic workshops and preparation for holding such workshops (140 hours): 42,000 ADA
Promotion to involve related businesses (160 hours): 48,000 ADA
Research (140 hours): 42,000 ADA
Documentation (140 hours): 42,000ADA
IT tools (20 hours): 6,000 ADA
Transportation, venue, and lodging (67 hours): 20,100ADA
Legal, accounting and labor (30 hours): 2,700 ADA
Annual advisor (3 hours per month): 32,400ADA x 3 persons = 97,200ADA
Milestone 2: Research to develop the tools needed for the demonstration
249,000 ADA
Hearing (100 hours×2people): 60,000 ADA
Research (200 hours): 60,000 ADA
Organization and analysis (270 hours): 81,000 ADA
Token design (300 hours): 9,000 ADA
IT tools: 9,000ADA
Transportation, venue, and lodging: 21,000ADA
Legal, accounting and labor (10 hours): 9,000ADA
Milestone 3: Finalize specifications and UI/UX for development of tools required for demonstration tests
210,000 ADA
Specification creation (220 hours): 66,000 ADA
MOC creation (350 hours): 105,000 ADA
IT tools: 9,000ADA
Transportation, venue, and lodging: 21,000ADA
Legal, accounting and labor (10 hours): 9,000ADA
Milestone 4: Development of tools necessary for demonstration experiments
600,000 ADA
Front development (520 hours): 156,000 ADA
Back-end development (700 hours): 210,000 ADA
Blockchain development (200 hours): 60,000 ADA
Various testing/bug fixing (350 hours): 105,000ADA
Demo video creation (100 hours): 30,000ADA
IT tools: 9,000ADA
Transportation, venue, and lodging: 21,000ADA
Legal, accounting and labor (10 hours): 9,000ADA
Milestone 5: Conduct demonstration tests using the developed tools
300,000 ADA
User onboarding (140 hours): 42,000 ADA
Demonstration (implementation of the tool and actual use of the tool) (260 hours): 78,000 ADA
Compilation of data in a form that allows companies other than veterinary hospitals to utilize the data while converting it into big data (if necessary, existing veterinary medical data of 300,000 cases held by Green Forest Veterinary Hospital will also be utilized) (180 hours): 54,000 ADA
User acceptance testing (70 hours): 21,000 ADA
Bug fixes if necessary (70 hours): 21,000 ADA
Analyze user feedback (80 hours): 24,000 ADA
Prepare report on demonstration (70 hours): 21,000ADA
IT tools: 9,000ADA
Transportation, venue, and lodging expenses: 21,000ADA
Legal, accounting and labor (10 hours): 9,000ADA
Milestone final:Consideration of the use of collected data
300,000 ADA
Regular study sessions (including preparation for holding sessions) (150 hours): 45,000 ADA
Research (250 hours): 75,000 ADA
Documentation (180 hours): 54,000 ADA
Report preparation (230 hours): 69,000 ADA
IT tools: 9,000 ADA
Transportation, venue, accommodation: 21,000 ADA
Legal, accounting, labor (30 hours): 27,000 ADA
Buffer
40,000 ADA
The costs of this project and their breakdown are described in the previous section, but we believe that the economic benefits to Cardao will be greater than these costs. The reasons for this are as follows
In light of the above, the amount of money we are applying for this time is not small, but we are confident that the position and benefits that the Cardano blockchain will bring to Japan once this project is scaled will be much greater than that, and will provide high cost-effectiveness. We are confident that the position and benefits that the Cardano blockchain will bring to Japan at the scale of this project will be far more than that and will be highly cost effective.