PARTHENOS Common Policies and Implementation Strategies

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

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

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

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?
The PARTHENOS VISION – Common Policies
4
Task objectives

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

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

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.
7

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
8

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
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2. FAIR principles

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

OAIS
(ISO 14721)
Trusted Digital
Repositories:
Attributes and
Responsibilities
TRAC
Audit and
Certification of
Trustworthy Digital
Repositories
(ISO 16363 )
Requirements For
Bodies Providing
Audit And
Certification
(ISO 16919 )
Formal
Certification
See http://wiki.digitalrepositoryauditandcertification.org and
http://www.alliancepermanentaccess.org/membership/member-resources/audit-and-certification
Standards will be available free from http://www.ccsds.org
be applied to the evaluation of the
trustworthiness of digital repositories using ISO
16363.
It covers principles needed to inspire
confidence that third party certification of the
management of the digital repository has been
performed with impartiality, competence,
responsibility, openness, confidentiality, and
responsiveness to complaints
Metrics concerning:
• Organizational Infrastructure
• e.g. The repository shall have a documented history of the
changes to its operations, procedures, software, and
hardware.
• Digital Object Management
• e.g. The repository shall have access to necessary tools
and resources to provide authoritative Representation
Information for all of the digital objects it contains.
• Infrastructure and Security Risk Management
• eg. The repository shall have procedures in place to
evaluate when changes are needed to current
software.
Basic
Certification
Data Seal of
Approval
Extended
Certification
EUROPEAN
FRAMEWORK FOR
AUDIT AND
CERTIFICATION OF
DIGITAL
REPOSITORIES
to be promoted by
the EU
Monitored self-
audit using DSA
metrics
Monitored self-audit using ISO 16363 (or
DIN31644 in Germany)
Audit by
external
auditors
http://www.trusteddigitalrepository.eu
International standards and guidelines
Certificats
3 standards
3 levels

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

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.

Implementing FAIR
Principles

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

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

Interoperable - defined by the data
format; modified version of Tim Berners-
Lee’s 5-star open data plan:
1. Proprietary, non-open format data
2. Proprietary format, accepted by
Certified Trusted Data Repository
3. Non-proprietary, open format (=
“archival format”)
4. Data is additionally
harmonized/standardized, using
standard vocabulary
5. 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)

Ranking Quality of Data

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

3. Parthenos Wizard

Parthenos Wizard: the design process

Parthenos Wizard
24

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.

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

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

4. Questions
Hella Hollander
DANS-KNAW
Hella.Hollander@dans.knaw.nl
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.

PARTHENOS Common Policies and Implementation Strategies

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