We are excited to announce our Special Issue highlighting works related to the Research Data and Preservation (RDAP) Summit 2024.

The JeSLIB Editors thank the guest editors, Alicia Cappello, Queen's University, Angel Tang, University of Wisconsin-Madison, Carolyn Jackson, Kansas State University, Jamaica Jones, University of Pittsburgh, and Abigail Goben, University of Illinois at Chicago, for their dedication and expertise in bringing together this special issue. 

We thank the RDAP community for their continued support and enthusiasm for JeSLIB and its mission to advance the theory and practice of librarianship focusing on services related to data-driven research and promoting high standards in peer review and open access. Congratulations to all the authors who contributed to make this a success! 🎉

Volume 13, Issue 3 (2024) Special Issue: 2024 Research Data Access and Preservation (RDAP) Summit

Editorial

Editorial for Special Issue: 2024 Research Data Access and Preservation (RDAP) Summit
Alicia Cappello, Angel Tang, Carolyn Jackson, Jamaica Jones, and Abigail Goben

Full-Length Paper

Persistent Identifiers for Instruments and Facilities: Current State, Challenges, and Opportunities
Matthew Mayernik, Andrew Johnson, Renaine Julian, Matthew Murray, Claudius Mundoma, Aditya Ranganath, and Greg Stossmeister

Data Sharing Practices in Agricultural Research: Findings from a Systematized Review
Isabella Baxter, Erin Antognoli, Paria Aria, Maggie Albro, Jocelyn Boice, Michal McCullough, and Carolyn Jackson

Staking out the Stakeholders: Using NIST’s Research Data Framework Within a Public University System
Emily Kilcer, Bridget Almas, Jessica Koos, Andrea Medina-Smith, and Catherine Stollar Peters

eScience in Action

Collaborative Development of a Statistics Microlearning Course for Health Professionals
Lena Bohman and Regina Vitiello

Bridging Data Communities: Interoperability through inclusive, cross-institutional collaboration
Anna Sackmann, Lisa Ngo, Elliott Smith, and Misha Coleman

Commentary

Understanding how to identify and manage personal identifying information (PII) to further data interoperability
Zixin Nie

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