1. WP3: Common policies and implementation strategies
Parthenos Prato– 14/12/2016
Hella Hollander
KNAW-DANS

2. WP3
1. Vision and Approach on Common Policies 2. Fair Principles 3. Parthenos Wizard 4. Questions

3. 1. Commom Policies Parthenos WP3– Rome– 14/11/2016 Hella Hollander
KNAW-DANS

4. The PARTHENOS VISION – Common Policies
Challenge
Goal is to agree on and define the concepts of Policy, Guidelines, Best practice, their objectives and target audience
How are humanities repositories assessed? How to create assessment ‘profile’ for humanities? How to comply with it? How to coordinate reviews?
What quality of (meta)data is desired? How can it be measured?
Task objectives 4

5. Objectives Real objective Project objective Task objectives
Enable research questions to be answered
More & better!
Make research data available
More & better!
Provide policy and guidelines for repository, data and metadata.
Conduct foresight studies

6. PARTHENOS FLAGSHIP EXPECTED RESULTS
Guidelines on data management
Produce a coherent, authoritative, well accepted set of policies/guidelines/tools concerning the management of data lifecycle and related issues such as IPR, quality and so on
Standardization and semantics
Produce a wide set of standards and semantics, originated from community needs and tailored to the methodology and intended use by researchers
Services and tools
Produce a coherent set of tools for carrying out research using and re-using data

7. The PARTHENOS VISION – Common Policies
Focus Approach WP3
The results of the effort of Work Package 3 should have a long-term impact on common policies and guidelines on research data management, IPR, Open Access and Open data and how to implement them within the Humanities.
WP2 and WP3 work on an inventory of existing policies from the different infrastructures, and will define and test requirements for shared policies.
D3.1 represents the result of desk research and theoretical background giving guidelines and case studies to the researchers. The outcomes of this deliverable could be made more useful and reusable by creating an interactive guide (web page) to present the results.

8. Common Vision WP3
Help researchers to make their data of better quality, interoperable, sharable, findable and reusable (FAIR principles)
Agree on and define what policies, guidelines and best practice are.
Overview of existing policies in the Parthenos disciplines, for different data lifecycle phases
Find the commonalities between disciplines in the humanities in terms of policies, RDM and IPR, open access
Find the gaps: what disciplines are advanced in terms of policies and what are not
Give recommendation and guidance to researchers
Give recommendation and guidance to data archives
Give guidance and recommendations to cultural heritage institutions

10. Approach
Deliverable as a shared product of WP3 Deliverable: Text and Wizard Matrixes and Chapters: New content on policies and best practices: Receive input via working groups Wizard: What does it bring for Parthenos? A clear picture FAIR principles into Deliverable: connecting backbone

11. 2. FAIR principles

12. Open and FAIR Data in Trusted Data Repositories
Data does not only need to be Open
Data must also be FAIR
Findable, Accessible, Interoperable, Reusable
And must remains so, and therefore should be preserved in a DSA Certified Trusted Digital Repository

13. International standards and guidelines
Certificats 3 standards 3 levels

14. What is FAIR? FAIR principles for data quality,
DSA criteria for quality of TDR
minimal set of community agreed guiding principles to make data more easily discoverable, accessible, appropriately integrated and re-usable, and adequately citable.
A perfect couple for quality assessment of research data and trustworthy data repositories
Ideally: a DSA certified archive will contain FAIR data

15. FAIR Data Principles In the FAIR Data approach, data should be:
Findable – Easy to find by both humans and computer systems and based on mandatory description of the metadata that allow the discovery of interesting datasets;
Accessible – Stored for long term such that they can be easily accessed and/or downloaded with well-defined license and access conditions (Open Access when possible), whether at the level of metadata, or at the level of the actual data content;
Interoperable – Ready to be combined with other datasets by humans as well as computer systems;
Reusable – Ready to be used for future research and to be processed further using computational methods.

16. Implementing FAIR Principles
15 Criteria

17. Combine and operationalize
Growing demand for quality criteria for research datasets
Combine the ideas of DSA and FAIR
Use the principles as quality criteria:
DSA – digital repositories
FAIR – research data (sets)
Operationalize the principles to make them easily implementable in any trustworthy digital repository

18. Findable - defined by metadata, documentation (and identifier for citation):
No URI or PID and no documentation
PID without or with insufficient metadata
Metadata without PID
PID with limited metadata, just enough to understand the data
Extensive metadata and rich additional documentation available
Accessible - defined by presence of a user license; [metadata retrievable by identifier: already included under F]
No user license / unclear conditions of reuse / metadata nor data are accessible
Metadata are accessible (even when the data are not or no longer available)
User restrictions apply (of any kind, including privacy, commercial interests, embargo period, etc.)
Public access (after registration)
Open Access (unrestricted)

19. Interoperable - defined by the data format; modified version of Tim Berners- Lee’s 5-star open data plan:
Proprietary, non-open format data
Proprietary format, accepted by Certified Trusted Data Repository
Non-proprietary, open format (= “archival format”)
Data is additionally harmonized/standardized, using standard vocabulary
Data is additionally linked to other data to provide context
Reusable - the most difficult dimension (partly subjective); aspects:
1. Clear provenance of data (to facilitate both replication and reuse)
2. Data is in a TDR – unsustained data will not remain usable
3. Explication on how data was or can be used is available
4. Data automatically usable by machines
5. Data is reliable (replicable)

20. Ranking Quality of Data

21. FAIR as the backbone principles
PARTHENOS High level principle: FINDABLE - Defined by metadata, documentation (and identifier for citation) Connected part in the Use CASE: Indy is looking for best practices and common policies within the archaeological community. She finds policies about data creation from serveral countries that makes her data findable. Mappings to backbone FAIR principle like this: Fair principle: Findable DSA principle: the data can be found on the Internet Matrix WP3: Data Creation of the UKDA data lifecycle Policies: Best practices ADS, DANS preferred formats guide (examples) Standards SSK toolkit : WP4 Training HTML page: WP7

22. 3. Parthenos Wizard

23. Parthenos Wizard: the design process

24. Parthenos Wizard

25. Parthenos Wizard
Not just a deliverable, we want something that our stakeholders can use, an instrument that can guide them trough the jungle of research policies! Idea discussed and approved in Krakow, first results discussed in Rome.
We could create an interactive guideline where our users can find information about the policies that best adapt to their use case
We can include not only the research outputs of WP3 but also WP4 and WP7 and integrate this with the datamodel and infrastructure of Parthenos via WP5/6.

26. Parthenos Wizard: latest developments
Technically, it is developing as a widget in the Parthenos website: something very simple and sustainable
Intra-WPs task including WP2, WP3, WP4, WP5/6, WP7 (regular meetings)
Connect these policies through the FAIR principles of data quality
We want to start with a proof of concept that will serve the others to see how the wizard can be developed

27. Parthenos Wizard: the technical solution
The wizard (widget) will be integrated in the Parthenos website
Take the information of the T.3.2. Matrix via API
Displays the information on the selected policies in the wizard

28. Hella Hollander DANS-KNAW
4. Questions
Hella Hollander DANS-KNAW
PARTHENOS is a Horizon 2020 project funded by the European Commission. The views and opinions expressed in this publication are the sole responsibility of the author and do not necessarily reflect the views of the European Commission.