The Data-Sharing Community creates and coordinates a learning agenda for HRA membership interested in navigating the data-sharing ecosystem. The group facilitates sessions, collects and disseminates information and resources and serves as a thought-partnership community for HRA membership. The current learning agenda aims to:
- Inform HRA members about the issues and leading thinking surrounding data sharing.
- Help members in their decision-making processes regarding the creation of data sharing policies.
- Support HRA members with resources and insights as they develop and implement data-sharing policies.
The Data Sharing Community is a subgroup of the Open Science Task Force. It became clear to the participants in the Task Force that though Data Sharing is a very important aspect of Open Science, there are enough issues to tackle, information to gather, and resources to generate, that this group should be a formal subgroup with its own co-chairs.
The Key Activities this group has undertaken to achieve the above aims are:
- Providing access to leaders (via hosting meetings and webinars) in the data-sharing ecosystem
- Sourcing learning topics from HRA membership
- Collecting and disseminating robust data-sharing policies as well as organization checklists for creating a policy
- Providing the environment for thought-partnership and coordinate shared services among members, when appropriate
- Collaborating with federal and other non-federal research funding institutions on data-sharing policy
Other activities and events include:
Hosting sessions at Members Meeting to identify the high level processes necessary to create and implement data sharing policies.
Developing a road map to facilitate HRA Members’ development of their own policies.
Quarterly webinars about data sharing topics:
The basics of Data Sharing led by Warren Kibbe
Other topics include: sourced from HRA membership during the November breakout session
- how to advocate for data-sharing within your organization and the value of a data-sharing policy
- evaluating data-sharing plans and monitoring compliance to a data-sharing policy
- vetting/selecting/learning about data-sharing repositories
- incentivizing data-sharing for the research community