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RuleBookForTheFairDataEconomy.pptx

This presentation highlights the fair data economy rulebook, covering its importance, application in data network construction, and content with contract templates for secure data sharing. Rooted in Sitra's IHAN project, it envisions responsible and human-centric data utilization. 1001Lakes is your trusted companion in fair data sharing ecosystem collaborations.

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RULEBOOK FOR THE FAIR DATA ECONOMY
RULEBOOK FOR THE FAIR DATA ECONOMY
What, why and how?
This presentation highlights
the fair data economy
rulebook, covering its
importance, application in
data network construction,
and content with contract
templates for secure data
sharing.
Rooted in Sitra's IHAN
project, it envisions
responsible and human-
centric data utilization.
RULEBOOK FOR FAIR DATA ECONOMY
WHAT IS A FAIR DATA ECONOMY?
Fair data economy is a model of data utilization where data is shared
equitably and confidentially among various parties.
Fair data economy promotes individuals' autonomy over their own data
and enables the emergence of new services and business models.
Fair data economy supports societal well-being and sustainability while
strengthening Europe's competitiveness in the global digital economy.
Why is fair data economy needed?
• To ensure equitable and secure data
sharing among organizations
• For fostering trust and responsible use
of data
• It promotes transparency
• It protects privacy
• It supports ethical practices in the
digital landscape.
The rulebook for fair data economy:
• Sets data sharing guidelines for
organizations across sectors
• Builds trust, ensures ethical data use
• Simplifies network creation with
ready-to-use contracts and tools.
WHY SHOULD I USE THE RULEBOOK FOR FAIR DATA
ECONOMY?
UNDERLYING PERSPECTIVES FOR THE RULEBOOK
FAIRNESS &
ETHICS
PRIVACY &
DATA
PROTECTION
LEGAL SYSTEM
GROWING
ECOSYSTEMS
& COMMON
“DNA”
DATA
ECONOMY &
BUSINESS
EASIER
NETWORK
SETUP
TECHNOLOGY
FRAMEWORK
Challenges to overcome in establishing a successful data sharing framework
CHALLENGES OF DATA SHARING
1. Identifying Profitable Business Cases:
Struggling to identify and implement practical business cases
for data sharing.
2. Unclear Roles and Responsibilities:
Difficulty in defining the roles and responsibilities of different
actors involved in data sharing.
3. Cultural and Attitudinal Barriers:
Facing challenges related to cultural and attitudinal factors
hindering the adoption of data sharing practices.
4. Risk Management:
Risks include potential loss of control over data, infringement
of trade secrets, and concerns about data protection.
5. Defining Success Metrics:
Inability to clearly define success and demonstrate value for all
entities within a data ecosystem.
6. Interoperability Issues:
Lack of interoperability on legal, operational, semantic, and
technical levels.
7. Compliance with Legislation:
Ensuring compliance with relevant national and EU legislation
while navigating data sharing initiatives.
8. Secure and Efficient Technical Implementation:
Designing and implementing technically sound, secure, and
efficient solutions for data sharing purposes."

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RuleBookForTheFairDataEconomy.pptx

  • 1. RULEBOOK FOR THE FAIR DATA ECONOMY RULEBOOK FOR THE FAIR DATA ECONOMY
  • 2. What, why and how? This presentation highlights the fair data economy rulebook, covering its importance, application in data network construction, and content with contract templates for secure data sharing. Rooted in Sitra's IHAN project, it envisions responsible and human- centric data utilization. RULEBOOK FOR FAIR DATA ECONOMY
  • 3. WHAT IS A FAIR DATA ECONOMY? Fair data economy is a model of data utilization where data is shared equitably and confidentially among various parties. Fair data economy promotes individuals' autonomy over their own data and enables the emergence of new services and business models. Fair data economy supports societal well-being and sustainability while strengthening Europe's competitiveness in the global digital economy.
  • 4. Why is fair data economy needed? • To ensure equitable and secure data sharing among organizations • For fostering trust and responsible use of data • It promotes transparency • It protects privacy • It supports ethical practices in the digital landscape. The rulebook for fair data economy: • Sets data sharing guidelines for organizations across sectors • Builds trust, ensures ethical data use • Simplifies network creation with ready-to-use contracts and tools. WHY SHOULD I USE THE RULEBOOK FOR FAIR DATA ECONOMY?
  • 5. UNDERLYING PERSPECTIVES FOR THE RULEBOOK FAIRNESS & ETHICS PRIVACY & DATA PROTECTION LEGAL SYSTEM GROWING ECOSYSTEMS & COMMON “DNA” DATA ECONOMY & BUSINESS EASIER NETWORK SETUP TECHNOLOGY FRAMEWORK
  • 6. Challenges to overcome in establishing a successful data sharing framework CHALLENGES OF DATA SHARING 1. Identifying Profitable Business Cases: Struggling to identify and implement practical business cases for data sharing. 2. Unclear Roles and Responsibilities: Difficulty in defining the roles and responsibilities of different actors involved in data sharing. 3. Cultural and Attitudinal Barriers: Facing challenges related to cultural and attitudinal factors hindering the adoption of data sharing practices. 4. Risk Management: Risks include potential loss of control over data, infringement of trade secrets, and concerns about data protection. 5. Defining Success Metrics: Inability to clearly define success and demonstrate value for all entities within a data ecosystem. 6. Interoperability Issues: Lack of interoperability on legal, operational, semantic, and technical levels. 7. Compliance with Legislation: Ensuring compliance with relevant national and EU legislation while navigating data sharing initiatives. 8. Secure and Efficient Technical Implementation: Designing and implementing technically sound, secure, and efficient solutions for data sharing purposes."
  • 7. The rulebook for fair data economy consists of two parts HOW IS THE RULEBOOK USED? 1st part Helps understand the principles and concepts. • Introduction • Quick Guide • Glossary • Contract Framework 2nd part Featuring editable contract templates • Founding Agreement • Joining Agreement • Terms of Use for the Dataset 1st part Helps understand the principles and concepts. • Introduction • Quick Guide • Glossary • Contract Framework 2nd part Featuring editable contract templates • Founding Agreement • Joining Agreement • Terms of Use for the Dataset
  • 8. Benefits of using the rulebook of fair dataeconomy are; • Efficient Data Use: The rulebook boosts organizations' data utilization for insights, services, and business innovation. • Enhanced Competitiveness: Organizations improve their market standing and competitiveness using fair data economy principles. • Trust Building: The rulebook aids in building trust with customers and partners, fostering reliable relationships. • Legal and Ethical Compliance: Organizations can ensure compliance with legislation and ethical standards through the rulebook. • Societal Impact: Following fair data economy principles contributes to societal well-being and sustainability. WHAT ARE THE BENEFITS?
  • 9. SITRA FAIR DATA ECONOMY RULEBOOK • The Sitra Rulebook, crafted collaboratively by Sitra, industry, academia, and authorities, is a key component of the fair data economy initiative. • It serves as a guide for establishing Trust-Based Data Sharing Networks with shared mission, vision, and values. • The model encompasses Business, Ethics, Legal, Tech, and Security (BELTS) dimensions, offering Checklists for each, a Data Ecosystem Canvas as a design and documentation tool. • It is a comprehensive Contractual Framework featuring ready-to-use legal agreement templates for seamless data sharing.
  • 10. SITRA FAIR DATA ECONOMY RULEBOOK
  • 11. Data ecosystem canvas - Business modeling tool for data networks RULE BOOK FOR FAIR DATAECONOMY DATA ECOSYSTEM CANVAS
  • 12. Example question: Example question: RULEBOOK FOR FAIR DATA ECONOMY CHECKLISTS Business and Operations • Purpose and goals • Roles and responsibilities • Business logic and data value • Operational data governance • Data services and infrastructure Technical and Security • Capability requirements • System design and architecture • Functional requirements • Information management • Security • Privacy and personal data Business and Operations • Purpose and goals • Roles and responsibilities • Business logic and data value • Operational data governance • Data services and infrastructure Technical and Security • Capability requirements • System design and architecture • Functional requirements • Information management • Security • Privacy and personal data
  • 13. Data Security Operating Model RULEBOOK FOR FAIR DATA ECONOMY DATA SECURITY OPERATING MODEL • Data Security Operating Model has been created on the initiative of Digipooli (Technology Industries of Finland), the organization of the Service Security, and with the support of The National Emergency Supply Agency. • Includes guidelines on preparing a data security operating model for a data network • Checklist to assess the current situation and to help concentrating on essential issues Prioritisation and scope Orientation: identifying legal requirements, threats and vulnerabilities Identifying existing threats and vulnerabilities Risk assessment Target state for the data network and the parties involved Building, monitoring and continuous improving
  • 14. Helps to assess each partner’s or the whole network’s ethical maturity and capabilities. RULEBOOK FOR FAIR DATA ECONOMY ETHICAL MATURITY MODEL Security Commitment to ethical practices Transparency and communication Sustainability Human-centricity Fair Networking Purpose Level 0 “I believe that this is very secure” “We prefer not to commit, we are free” “Just trust us” “Let it burn” “What this has to do with the people?” “Anarchy” “We do what we want to do” Level 1 There are proper Antivirus, Firewall and other needed security tools in use, and they are properly updated. Organisation follows regulations and the best practices of its own field. Organisation follows the regulations and uses truthful communication. Organisation has documented sustainability plan/program. The individuals are recognised as stakeholder and their rights are taken account. Organisation aligns it rules and regulations to best practices of industry Organisation has stated reasons for data collection and usage Level 2 There is a dedicated person to keep up with information security. Organisation has implemented and is committed to following ethical code(s) or other codes of conduct. Organisation supports open internal communication and responsible information sharing. There is an evaluation model for sustainability with clear indicators. Organisation collects information of the needs of individuals to improve people- centricity. Organisation defines and documents practices and provides the needed information for network partners Organisation has transparent rules how data can be used in the future Level 3 There are clearly documented procedures for the preparation of security threats. There are clear well documented procedures for actions to be taken when ethical issues occur. There is a transparent, documented plan for internal and external communication Organisation impact on the environment is neutral or positive. Individuals have low- level ways to communicate with the organisation and their opinions are systematically noted. Organisation supports and encourages a fair data sharing in ecosystems. Organisation negotiates with information sources to gain mutual understanding of fair information use Level 4 The whole organisation has internalised the importance of security and it is constantly monitored and developed through the organisation. Organisational policies and procedures are developed critically from ethical perspective together with all relevant stakeholders. Organisation openly communicates its procedures and policies. Organisation is actively advancing the sustainability of its business field. Organisation will actively involve all relevant stakeholders in decision making. Organisation actively seeks to ways to advance possibilities of whole ecosystems. Organisation has clear, public, documented goals and procedure of information use.
  • 15. • Mobility: Traffic data ecosystem • Smart cities: MyData for Cities • Manufacturing: Supply chain management • Health: Children hospitals across Europe • Built environment: CO2 Hub, tracking of carbon emissions • Banking and insurance: Export documentation for maritime industry • Harbour logistics: Port of Helsinki processes • Data sharing testbed: Sitra IHAN Testbed and Virtual Finland (Ministry of Foreign Affairs) • AgriFood: Agricultural data sharing infrastructure in Finland BUSINESS ETHICS LEGAL TECH SECURITY Traffic Data Ecosystem Rulebook Rulebook for Fair Data Economy in Traffic Fintraffic – 06/2022 RULEBOOK IMPLEMENTATIONS
  • 16. IDSA ENDORSES THE SITRA RULEBOOK MODEL IDSA Rulebook 2.0: https://github.com/International-Data-Spaces-Association/IDSA-Rulebook

Editor's Notes

  1. Fasilitoijan ohje Data ecosystem canvas toimii monen liiketoimintaan liittyvän kysymyksen dokumentointipisteenä ja ohjaa liiketoiminnallista suunnittelua. Data Ecosystem Canvas on muokattu alusta- ja liiketoimintakanvaksista siten, että siinä huomioidaan erityisesti dataan liittyvät erityiskysymykset. Taustamateriaalia