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.

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