Lessons from Journal Research Data Policy Registry Pilot
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Transcript of Lessons from Journal Research Data Policy Registry Pilot
Linda NaughtonJournal Research Data Policy Registry (JRDPR)
07/10/15
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MissionTo enable people in higher education, further education and skills to perform at the forefront of international practice by exploiting fully the possibilities of modern digital empowerment, content and connectivity
Our vision and mission
VisionTo make the UK the most digitally advanced education and research nation in the world
#connectmore
What Jisc does
»Delivers shared digital infrastructure and services for universities and colleges
»Brokers sector-wide deals with IT vendors and commercial publishers
»Provides expert and trusted adviceand practical assistance
Co-design partners
142 ideas considered24 defined and pitched6 challenges prioritised
>100 senior stakeholders prioritised ideas
> 1000 colleagues consulted
Co-design challengesResearch at risk
(R@R)
Prospect to alumnus (P2A)
Learning analytics
Digital learning & capabilities
Implementing FELTAG
Business intelligence
Hosting platform Hosting platform
Research Data Management is business as usual
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Research Data infrastructure
Data
Clouod
Librarians, research managers & IT have
interlocking services, to support researcher needs and institutional policies
Researchers have a cohesive suite of research data
management, publication and discovery services
Research data management and planning services
Research data storage and archival services
Research data discovery services
Data Data
UKDA, BADC ICSU / WDSEBI / GenBank
Research data management applications
Journal & funder policy
registriesResearch data registry /
Cross repository discovery service
DMPonline
DMP Registry
SWORD +
Disciplinary data repositories (National and International)
Institutional data catalogues
Disciplinary research data Discovery services
Metadata exchange between journals, archives, repositories
Data identifiers, metadata schema, metrics
Support for Research data lifecycle
Storage
Infrastructure components that
underpin all functions & services
Researcher identifiers Organisation identifiers RegistriesData Identifiers
Research data management applications
Network / Janet - Security/UK access management federation
KeyJisc supported:
Other supported:
Advice, guidance & training is also needed
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To develop best practice on journal policies between publishers and other stakeholders. To make it easy for researchers to know how to follow policies and for journals to create RD policies
Journal Research Data Policies Registry
•Start: April 2015•End: September 2016•Website: http://bit.ly/1Ks8jhb
•End Goals: a shared service with easy access to journal research data policies and common related standards
M
No. Objective Deadline
1 To build a community of engaged stakeholders who will accomplish a number of key tasks for the project as well as raise the profile of the project with both the UK sector and the international research community.
First round April-June 2015
Second round September 2016
2 To build consensus on the elements and understanding of journal research data policies through a range of activities such as an RDA group, the Project Expert Advisory Group and practitioner engagement through testing.
Project Expert Advisory group June 2015
RDA Group September 2015 – March 2017
3 To develop and build a prototype Journal Research Data Policy Registry service which meets the needs of the use cases developed and prioritised in consultation with the stakeholder group.
September 2015 (Rapid prototype)
Iterative development to April 2016 then wider user-testing.
4 To evaluate the prototype against the use cases as a proof of concept exercise.
September 2016
5 To evaluate the potential for a Journal RD Policy Registry service and the further implementation and uptake of the best practice developed
September 2016
https://flic.kr/p/rob872 (cc-by) jakerust/gotcredit@flickr
Use case development
»Potential users of the service are considered to be:› Researchers› Librarians/RDM support staff› Research Managers› Funders/policy makers› Publishers/journal editors/learned societies› Research data repositories/data centres
02/05/2023
JRDPR Expert Advisory Group - Use Case Development 9
Jisc: Supporting Cloud and Data Centres 10
Question Set
»Journal, ISSN, publisher, country, and data policy name.
»Is there a policy, data policy type, data deposit requirements, consequences of non-compliance, how will data be shared, is there guidance, will the data be peer reviewed, when should the data be submitted, exceptions, data access statements (where), licences/copyright transfer agreements for data?
4/02/15
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Research Data Question Set
» The lack of standard definitions of terms. For example, what do we mean by the data and supplementary data? There are NISO guidelines for supplementary data but they have not been widely adopted by journals.
» The level of granularity required to capture policy at the data set level is too complex for the data model.
» Different interpretations of data sharing according to discipline. Do we mean all the data or do we mean specific data types (discipline specific) or the data behind the article. How is that defined by the policy?
» What does peer-review of data include? Rigour of methodology; validity of the results; reproducibility of results; or something else? The question ‘is the data peer-reviewed’ cannot capture these differences.
» Some of the content relates to submission guidelines rather than policy. We would expect a policy to be more stable than submission guidelines so this creates an issue of keeping the registry up to date. The lack of version control is also an issue with regards to the webpages where the information is held.
Issues Log – some examples
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Research Data Question Set
» Many different licensing options are further complicated by hybrid journals. Introducing data policy type to the question set means that a journal can have a 1:multiple policy relationship but the OA policy element to hybrid journals often refers more to the article than the data.
» Exceptions for data – sensitive data, commercial data, 3rd party data makes the lowest common denominator ‘available on request’.
» How does the registry account for different requirements from funders? For example Data Access Statements are required by UK funders but this is not scalable when taking into account all of the possible funder requirements.
» Issue of scale to provide adequate coverage – REF (UK) 12,500 journals. » The wider research data context has an impact on journal policies i.e.
publishers, funders, repositories, domain-specific practice and institutions. This raises the question of where to apply the focus towards improving practice?
Issues Log – some examples
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How many journals have a research data policy
52.423.
2
23.2
All Journals
64.8
14.4
18.4
Science Journals
4032
28
Social Science Journals
Full Policy Partial Policy No Policy
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How many journals are mandating data deposit?
30.2
40.6
29.2
All Journals
45.8
30.8
23.4
Science Journals
10.5
53
36.5
Social Science Journals
Mandated OptionalRecommended
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Technical Feasibility
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From question set to policy template
» Definition of terms » Standardisation of terms » Implementation process e.g. NISO ‘supplementary
material’, CASRAI, RIOXX, ORCID » Purpose and scope of the policy –
funder/publisher/journal/data centre/institution?» Data level and domain level? » Wider context – other tools (DMPOnline, Bio-sharing.org),
systems (Researchfish), initiatives (Pasteur4OA, COPDESS)