Session topics are as follows:
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.
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.
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?
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.
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.
This panel will examine research and projects undertaken in three areas affecting data quality. Questions to be explored will include: How do varying degrees of curation with respect to metadata application affect discoverability and reuse of data? How can curation of data be made more efficient and collaborative? How can metrics on reuse of digital repository items be developed and used to demonstrate impact?
RDAP Business Meeting
Over the past several years, RDAP has grown from an event to a community. As we have matured, concerns regarding conference costs, organizational identity, and autonomy have arisen. As a result, it has become necessary to consider our current organizational structure and future directions, including the possibility of gaining independence from ASIST or aligning with another organization. Since 2016, the RDAP Future Visions Task Force has been investigating a variety of options to determine their practicality and suitability. This was based on surveys of the RDAP community to ascertain what needs RDAP fulfilled and what was of most value. Please join us at the RDAP Business Meeting to learn about the 14 alignments/models considered, hear the Task Force’s recommendations, and provide feedback on next steps.
- Make the Plan, Work the Plan: Measuring the Impact of DMPs on Data Management and Data Sharing Practices, Sara Mannheimer, Montana State University
- Giving Them What They Want: Development of an Interactive Tool for Exploring Data Storage Options, Wendy Kozlowski, Cornell University Library
- Improving the Discovery of Protected Data: A Data Catalog Pilot Project, Heather Coates & Erin Foster, IUPUI
- Complex Data Sets, Software Preservation and Emulation, Seth Anderson, Yale
- eMammal: Data Management Pipeline for Camera Traps, Jennifer Zhao, Smithsonian Institution
- Playing in the Sandbox: A Year of Data, Tools, and Analysis Inside the Library, Jamene Brooks-Kieffer, University of Kansas Libraries
- Construction Ahead: Introducing Data Management to State Department of Transportation Researchers, Jake Carlson, University of Michigan
- Engaging Liaisons thru Education: the First Year Results of the Road Show, Megan Sapp Nelson & Abigail Goben, Purdue University & University of Illinois at Chicago