E. Baldacci, 30 Novembre - 1 Dicembre 2021 - Webinar: Sistemi moderni di integrazione dei dati: l’esperienza dell’Istat e di altri attori Titolo: Data interoperability and data stewardship role

1. Data interoperability and
data stewardship role
Emanuele Baldacci
Director of Resources and CIO
European Statistical Office - Eurostat
30.11-1.12/2021

2. Data landscape
2
• Data can transform all sectors of the
economy and is crucial for AI
• Personal and non-personal data can be
a source of innovation for new products
and services
• Data can contribute to tackle societal
challenges such as climate change,
health, mobility, etc.
• Data can make lives and work easier
and better
33
zettabytes of
data produced
80%
of processing in cloud
20%
of
processing
in IoT devices
2018
2025
80 %
of processing
in IoT devices
20%
of processing
in cloud
175
Zettabytes of
data
produced

3. The European Data Strategy: Shaping Europe’s Digital Europa
3
Business
Government
Citizen
GDPR
ePrivacy
Digital Services
…
Official statistics

4. The European Data Strategy: 4 Key Instruments
4
Implementing
Actunder
Open Data
Directive
Data
Governance
Act
Digital
Market Act
Data Act
Public sector data of high value
Unleash the socio-economic potential
of data as a raw material for
INNOVATION
, in particularSMEs
Public sector data, private sector data and
personal datavoluntarily made available by data
holders
Personal data and private sector data held by
online platforms and originating from the users
both businesses and individuals
Regulate MARKET POWER
Private sector data, personal data and co-
generated (IoT) data
Ensure FAIRNESS in the allocation of data
value among the actors of the data economy
EnsureTRUST in data transactions
based on data

5. Data Governance Act
5
Data Governance Act
Health
Industrial &
Manufacturing Agriculture Finance Mobility Green Deal Energy
Pillar 1: Re-use of sensitive data held by public sector bodies
Pillar 2: Framework for new data intermediaries in the Single Market
Pillar 3: Framework for data altruism
Pillar 4: Co-ordination and interoperability: European Data Innovation Board
Skills
Public
Administration
o LEVERAGING THE POTENTIAL OF DATA FOR THE ECONOMY AND SOCIETY

6. European Data Innovation Board: Tasks
6
o Advise and assist the EC in
• developing a consistent practice of public sector bodies and competent bodies processing
requests for the re-use of the categories of protected public data;
• developing a consistent practice of the competent authorities in the application of
requirements applicable to data sharing providers;
• on the prioritisation of cross-sector standards to be used and developed for
• data use and cross-sector data sharing,
• cross-sectoral comparison and exchange of best practices for security, access procedures,
while taking into account sector-specific standardisations activities;
• assist in enhancing the interoperability of data as well as data sharing services between
different sectors and domains;
• to facilitate the cooperation between national competent authorities through capacity-
building and the exchange of information

7. Rich pool of data
(varying degree of
accessibility)
Free flow of data
across sectors and
countries
Full respect of GDPR
Health
Industrial &
Manufacturing Agriculture Finance Mobility Green Deal Energy
− Technical tools for data pooling and sharing
− Standards & interoperability (technical,
semantic)
− Sectoral Data Governance (contracts,
licenses, access rights, usage rights)
− IT capacity, including cloud storage,
processing and services
Horizontal
framework for data
governance and
data access
Public
Administration Skills
Common European Data Spaces
7
Data infrastructures and governance go hand in hand

8. CEDS: Characteristics
8
oData sharing tools and European platforms:
• Data can flow within the EU (foster cross border data use) and across
sectors (interoperability and standards within and across sectors)
• Availability, quality and interoperability of data, support in making HVD
available for re-use in the different common data spaces
• Creation of central and/or federated data pools enabling data analysis and
machine learning
• Open but assertive approach to international data flows, based on
European values

9. Statistical Offices: possible roles
9
Governance framework
o Can the fundamental principles of statistics and the European statistics code of practice
contribute to the governance of the CEDS?
o Is there a role of statistical offices in the context of CEDS governance?
Operational level
o Setting and using standards and common practices
Metadata, lineage, quality, definitions, classification, confidentiality, …
o Access to data for research
The ESS and its members can act as providers of data: Contribution of statistical data to CEDS
The ESS and its members can act as users of data: Use of alternative data sources of official
statistics

10. Data Governance and data stewardship
o Data growing increasingly prevalent in the our economy have lead to a need for models …
o Models for supporting and operationalising (public) data governance for achieving goals through
better use of data for the society, the economy and the environment
o Pathfinder projects to develop a data strategy roadmap and data governance operating models (whole-
of-government structures for whole-of-government data decisions)
o Recommendation of the European Commission High-level group on B2G Data sharing:
“A key success factor in setting up sustainable and responsible B2G partnerships is the existence,
within both public- and private-sector organisations, of individuals or teams that are empowered to
proactively initiate, facilitate and coordinate B2G data sharing when necessary. As such, ‘data
stewards’ should become a recognised function.”
Data is the new oil
10

11. Acquisition
Storage
Security &
protection
Aggregation
De-
identification
Data release
Use & reuse
o UNECE Task force on data stewardship (work in
progress)
o Data stewardship represents the ethical and
responsible creation, collection, management, and
use of data. With a basis in guardianship, it is
expressed through long-term, inter-generational
curation of data assets such as they benefit the full
community of data users.(Stats, New Zealand)
o Includes and extends the technical approach (see right)
that is management and oversight of data assets
throughout their lifecycle to ensure that they are of high
quality, easily accessible, used appropriately, and with
consistency.
Data stewardship concept
11
GDPR
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12. • Data stewardship: A new term for existing institutional responsibilities in
supporting the discovery of better data for better policy?
• Development, production and dissemination of official statistics within the wider scope
of using administrative data-sharing
• Facilitating public bodies (e.g. in the use of data, developing coherent administrative
registers, maintaining information systems of public administration and digital data
infrastructure in the public sector, to some extent ensuring that official statistics would
eventually benefit from using them.)
• Other: Use of standards in public administration, harmonisation of statistical and other
classifications, the use of open data, development of typologies, implementation of data
protection, procedures, etc.
• Discovering the value of data, finding insights in vast reams of data and data expertise
for the greater public good. Network of DS & experts, case studies, … .
• Caution: Privacy & security, data quality, business interest and cultural challenges
Statistical offices: Existing and emerging roles
12

13. Emanuele Baldacci
Director of Resources and CIO
European Statistical Office – Eurostat
Emanuele.baldacci@ec.europa.eu
grazie
per l’attenzione