1. INTAROS WP 1 Task 1.4 Data management and data governance framework
Torill Hamre, NERSC (task lead)
INTAROS Kick-Off Meeting, 12 January 2017, Bergen

2. Task 1.4 - Data management and data governance framework
Lead: NERSC, T. Hamre;
Contributors: IOPAN, AWI, GEUS, NORDECO, MISU, FMI, EuroGOOS
…and all the other partners providing data in INTAROS
This task has 2 main deliverables:
Data Management Plan (M6, M54)
Data Governance Framework (M36)

3. Task 1.4 - Data management and data governance framework
Data Management Plan (DMP)
How INTAROS will comply with international standards on quality & metadata
INTAROS will operate a free and open data policy.
Define how INTAROS data will be made accessible,
Goal: ensure that data and data providers are given maximum visibility,
Data and metadata available through the main European and international data infrastructures, including EMODnet, Copernicus, WMO, US SEARCH program, SAON, relevant Arctic DRI programmes, EPOS, ICOS, PEEX and INTERACT.
DMP will also recommend methods for a free and open data access policy
to be applied in WP5 data flows
digital citation of data will be an important component of data policy.

4. Task 1.4 - Data management and data governance framework
to ensure a sustainable data foundation for iAOS.
The framework will address the strategy, metadata and data models, standards, policies and procedures, key performance indicators (KPIs) and communication mechanisms for the targeted user and stakeholder communities
Needed to provide long term preservation and accessibility of the new data and products generated in the project
Based on best practices from ESFRI projects and international pan-Arctic initiatives and observation systems.
Key issue: IPR, Free Prior and Informed Consent, respect for knowledge holders, and respectful handling of community-based data (Task 4.1).
This task will interact with the key stakeholders in the targeted themes (atmosphere, ocean, sea ice, marine ecosystem, terrestrial, glaciology, natural hazards, and community-based monitoring), inviting related initiatives, projects and infrastructures to give feedback
Must be in line with the frameworks of other infrastructures/data centers

5. Task 1.4 - Data management and data governance framework
Deliverables:
D1.2 : Data management plan V1 [6]
The first version of the data management plan
D1.6 : Data governance framework [36]
Document describing data governance framework
D1.8 : Data Management Plan V2 [54]
Revised data management plan

6. Task 1.4 - Data management and data governance framework
The ORD pilot aims to improve and maximise access to and re-use of research data generated by Horizon 2020 projects and takes into account the need to balance openness and protection of scientific information, commercialisation and Intellectual Property Rights (IPR), privacy concerns, security as well as data management and preservation questions.
EC Guidelines on FAIR Data Management in Horizon 2020
F – “making data findable, including provisions for metadata”
A – “making data openly accessible”
I – “making data interoperable”
R – “increase data re-use (through clarifying licenses)”
(EC, 2016)
".. takes into account the need to balance openness and protection of scientific information, commercialisation and Intellectual Property Rights (IPR), privacy concerns, security ..."

7. Task 1.4 - Data management and data governance framework
Wilkinson et al., Nature, Scientific Data, DOI: /sdata

8. Open Research Data (ORD) Pilot
Established by EC to increase sharing and reuse of data collected and processed in H2020 projects
In the Work Programme, only selected themes were part of ORD; from 2017 onwards all call themes will participate
The Blue-Growth call included ORD – INTAROS participates!
A DMP is required for all projects participating in the Open Research Data (ORD) Pilot. The DMP should be updated during the project, e.g. when new data become available
INTAROS participates in the ORD pilot, and hence has to deliver a DMP
Costs associated with making data open access, are eligible costs

9. Data Management Plan (DMP)
Describes the data management life cycle for the data to be collected, processed and/or generated by a Horizon 2020 project
DMP should include information on:
the handling of research data during and after the end of the project
what data will be collected, processed and/or generated
which methodology and standards will be applied
whether data will be shared/made open access and
how data will be curated and preserved (including after the end of the project)

10. Data Management Plan (DMP)
DMP content: (template in Annex 1 of Guidelines for FAIR Data Management)
1. Data Summary
2. FAIR data
2.1 Making data findable, including provisions for metadata
2.2. Making data openly accessible
2.3. Making data interoperable
2.4. Increase data re-use (through clarifying licences)
3. Allocation of resources
4. Data security
5. Ethical aspects
6. Other issues
Also good examples of DMPs from other H2020 projects.

11. Data Governance Framework
Data Management Association (DAMA International).
A general model for a data governance framework
Data governance: planning , supervision and control over data management and use
We will review this (and possibly other FWs)
Adapt for our purposes
DAMA-DMBOK Functional Framework Version 3.02 (2008)

12. Next steps KO: identify all partners that will provide data to iAOS
KO+2weeks: identify DM each partner
M2(end): Set up mailing list for DM staff; make TOC for DMP; request input from contributors
M4: DMP draft 1 w/input from partners; follow up partners
M5: DMP updated w/input from remaining partners
M6 (week 1): send to Project Management Team for QC
M6 (week 2-3): QC and finalization of DMP
M6 (week 4): submit to EC
… (internal updates as needed)
M54: Revised DMP (w governance framework)

13. Extra slides follow

14. Workpackage structure
WP1: Requirements and strategy for a Pan-Arctic system
WP2: Exploitation of existing observing systems
WP3: Enhancement of in situ systems
WP4: Community-based observing systems
Scientific data
Scientific data
WP5: Data integration & management - IAOS
Community data
Integrated data, prepared for applications
Feedback to requirements, strategy and roadmap
WP6: Applications towards stakeholders
Feedback to requirements, strategy and roadmap
Climate modelling
Ice – ocean statistics
7/5/2018
WP7: Dissemination and outreach

15. Task 1.4 - Data management and data governance framework
Lead: NERSC, T. Hamre; Contributors: IOPAN, AWI, GEUS, NORDECO, MISU, FMI, EuroGOOS
The INTAROS Data Management Plan (DMP) will provide procedures and methodologies to enable data collected through the project to comply with international standards on quality and metadata, including machine-readable semantic metadata. INTAROS will operate a free and open data policy. The DMP will define how INTAROS data will be made accessible, fully compliant with the INSPIRE directive. The task will also ensure that data and data providers are given maximum visibility, with data and metadata made available through the main European and international data infrastructures, including EMODnet, Copernicus, WMO, US SEARCH program, SAON, relevant Arctic DRI programmes, EPOS, ICOS, PEEX and INTERACT. The DMP will recommend methods for a free and open data access policy according to the specific data domain. These recommendations will be applied also on WP5 data flows. Digital citation of data will be an important component of data policy.

16. Task 1.4 - Data management and data governance framework
The INTAROS will further define a data governance framework to ensure a sustainable data foundation for iAOS. The framework will address the strategy, metadata and data models, standards, policies and procedures, key performance indicators (KPIs) and communication mechanisms for the targeted user and stakeholder communities, that are needed to provide long term preservation and accessibility of the new data and products generated in the project. The iAOS data governance framework will be based on best practices from ESFRI projects and international pan-Arctic initiatives and observation systems. Special attention will be given to addressing principles of intellectual property rights, Free Prior and Informed Consent, respect for knowledge holders, and reciprocity with respect to community-based and citizen science observing, and this will be addressed in collaboration with Task 4.1 of WP4. This task will interact with the key stakeholders in the targeted themes (atmosphere, ocean, sea ice, marine ecosystem, terrestrial, glaciology, natural hazards, and community-based monitoring), inviting among other representatives from AtlantOS, EU Polarnet, and other leading international initiatives and infrastructures (e.g. SeaDataNet, EMODnet) to give feedback on the developed framework ensuring it is in line with the frameworks of other infrastructures/data centers before it is submitted to all partners for approval and subsequently implemented.