To share experience the impact of the policy framework to date, illustrated with implementation examples and challenges
To explore the practical ways that stronger data policies support external stakeholders like funding agencies.
Collaborative session notes: https://docs.google.com/document/d/1d_1mr8JmSKXFyuSD2zWMmeoMWzhkIIEE5nsdqUA8RaU/edit
1. Introductions (5 minutes)
2. A review of the work of the group to date and overview of the Research Data Policy Framework (group chairs) (15 minutes)
3. Implementation stories - real world examples of implementations of the Policy Framework including case studies from different academic disciplines (representatives from publishers and funders) (20 minutes)
Speaker 1: Lauren Cadwallader, Open Research Manager, PLOS
Speaker 2: Jade Holt, Managing Editor, IOP Publishing
3. An analysis of utility and impact - what value do strong data policies add and what is the practical application of the information they provide us on data sharing? (20 mins)
Speaker 1: Yasushi Ogasaka and Ritsuko Nakajima, Japan Science and Technology Agency (JST)
Speaker 2: Jeremy Geelen, Canadian Institutes of Health Research (CIHR)
4. Discussion and next steps (30 mins)
Publishers, funders, institutional librarians and support staff, researchers, and any other stakeholders interested in publisher data sharing policies.
Increasing the availability of research data for reuse is in part being driven by research data policies and the number of funders and journals and institutions with some form of research data policy is growing. The research data policy landscape of funders, institutions and publishers is however too complex (Ref: http://insights.uksg.org/articles/10.1629/uksg.284/) and the implementation and implications of policies for researchers can be unclear. While around half of researchers share data, their primary motivations are often to carry out and publish good research, and to receive renewed funding, rather than making data available. Data policies that support publication of research need to be practical and seen in this context to be effective beyond specialist data communities and publications.
Objectives and Outcomes
Help define common frameworks for research data policy allowing for different levels of commitment and requirements and disciplinary differences that could be agreed by multiple stakeholders
Identify priority areas/stakeholders where policy frameworks can be defined e.g. beginning with journal/publisher policy, then considering funder policy
For these prioritised areas, stimulate creation of Working Groups to:
Produce guidance for researchers on complying with and implementing research data policy and the tools to support compliance
Facilitate greater understanding of the landscape of research data policies across disciplines, institutions and learned societies
Increase adoption of (standardised) research data policies by all stakeholders in particular journals and publishers
Connect stakeholders and broaden a collective understanding of their roles and relationships in data policy implementation
The group was initially established at the 8th RDA plenary in 2016 (Denver). Since then, it has produced an RDA Supporting Output, “Developing a Research Data Policy Framework for All Journals and Publishers.” The group is continuing to explore the impacts of data policies and how the stringency of policies can be increased over time. The group most recently co-chaired a session at the 17th RDA plenary (April 2021) with the Research Funders and Stakeholders on Open Research and Data Management Policies and Practices IG, which began to address the potential for policy alignment across publishers and funders.
RDA Supporting output: Developing a Research Data Policy Framework for All Journals and Publishers
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