- Collaborative Notes Link: https://docs.google.com/document/d/1sxTmej5HkIheyrXCLYUBT-oZd-gljoMZ1g3tDgMnvkw/edit
Our Interest Group has created a research data policy framework (see https://doi.org/10.6084/m9.figshare.8223365.v1) that has defined 14 features of journal research data policies and arranged these into a set of six standard policy types or tiers, which can be adopted by journals and publishers to promote data sharing in a way that encourages good practice and is appropriate for their audience’s perceived needs. The framework is intended to be compatible with all existing publisher frameworks (PLOS, Elsevier, Springer Nature, Wiley, Taylor & Francis, etc) and not be a new standard to adopt. It is a tool to enable all journals and publishers to take common approaches to policy - more efficiently and effectively.
Our priority now is implementation, adoption and socialisation of this framework, and call for collaboration across the scholarly publishing and wider research community to drive further implementation and adoption of consistent research data policies. Our group remains open to collaboration on achieving future objectives, such as funder policy standardisation.
We aim to continue engaging with publishers and journals, in particular with industry associations such as STM, to promote implementation and adoption of standard research data policies - and planning these initiatives in ways that enables measurement and analysis of the impact of policies. There is continued interest in exploring funder policy alignment and we can provide an update on our discussions with various funder groups. We are interested to explore the appetite for developing a policy selection tool which could help adoption of the policies outlined in our policy framework. Alignment of the policy framework with other RDA groups and initiatives is an important part of expanding awareness and adoption of data policies.
1. Intro to the IG and activities to date (co chairs) - 10 mins
The data policy framework for publishers
Discussion: 15 min
2. Collaboration with STM Association as part of their STM Research Data Year - 15 mins
Discussion: 15 mins
3. Update on funder policy alignment - 15 mins
Identification of common issues
Which to harmonise on (e.g. DMPs, data availability, data repositories)
Discussion: 15 mins
4. Next steps and wrap up - 5 mins
All stakeholders including funding agencies are welcome although journal publishers, research support staff, researchers and representatives of research data repositories and other scholarly infrastructure providers are particularly encouraged to attend this meeting. Implementation and adoption of journal data policies will be discussed.
Our Interest Group has created a data policy framework (see https://doi.org/10.6084/m9.figshare.8223365.v1) that has defined 14 features of journal research data policies and arranged these into a set of six standard policy types or tiers, which can be adopted by journals and publishers to promote data sharing in a way that encourages good practice and is appropriate for their audience’s perceived needs. We are focussed on facilitating adoption of this framework, particularly with industry.
The scope of our IG also reaches beyond journal data policies into data policy standardisation more broadly e.g. with funders, with institutions.
Our IG was established in 2017 and has produced a master framework for journal data policies that can be adopted by industry to improve standardisation. The aim of this is to ecnourage good practice and reduce the confusion caused by variations in data policies required by scholarly publishers. We are currently focussed adoption of the framework and we are also talking with funder groups to address policy standardisation in this area.