Session topics are as follows:
I. Defining the role of the library in research data management within an institution
Academic libraries contributing to the research data management cycle is now a reality. However, their ability to contribute depends on their size, budget, staff expertise, and disciplinary alignment. How are libraries communicating their role and responsibilities in context with research computing, research administration, and investigator support? This panel will present use cases from libraries just entering the research data management arena to those who have gone “all in” with data curation. It seeks panelists to describe how they identified abilities and limitations, and formalized and implemented their relationship with university stakeholders.
II. FAIR vs. Friction
This panel discussion will delve into the tension between 1) the value of increasingly rigorous standards (e.g. FAIR) for data sharing so that more of shared data is easier to Find, Access, Interoperate, and Reuse, and 2) the need to decrease friction in data sharing processes so that more data producers can easily make more of their research data available.
III. Intersection of Publishing and Data
As the publishing landscape evolves to accommodate more open access publication and the rise of preprints, how might publishing and open data intersect? This panel looks to hear from speakers about how scholarly publishing and data sharing might grow together to support the research process. For example, how, when, and where could data be made available to best pair with other scholarly output and be discoverable and impactful? How could data publishing workflows evolve to make data sharing easy and integrated with the research and publishing process?
IV. Underserved Data Communities: Understanding Access & Preservation Bias
Who are the under-served data communities and how can we provide them with better access to research data? Potential topics include how racial or class bias hinder access, accessibility issues of data repositories or catalogs, bias behind research data preservation, or how institutions are trying to address these problems within their own community.
V. Research reproducibility – how data librarians are getting involved
Are you or your organization actively working to combat the research reproducibility crisis? This panel looks for participants to speak about their involvement in reproducible research, including developing services, sharing case studies, offering examples of how data professionals can be involved, or providing insight into what it means for research to be reproducible.
Please submit a topic of your choosing under this open call. Selections will be based on originality/newness and potential interest to the RDAP community, and will be made with the intent of creating a panel with related topics.