Sharing and Publishing Research Data: Challenges & Opportunities

Duration: 1 hr
Publication Date: 2023 | October

About the session

Making underlying research data openly available is a prevailing expectation of many institutions and funders, accelerated by new guidelines from OSTP and others. We can expect the demand for data publishing to only increase over time, but is the scholarly communications community prepared to respond? What are the impacts of data-sharing mandates on researchers? Do these impacts vary across fields of study? What new data types and formats are coming out of the latest research? This panel will explore the challenges and opportunities in research data sharing, indexing, publishing, and archiving from the perspectives of data librarians, publishers, editors, and researchers. An esteemed group of speakers will give us a sense of what research data publishing will look like in the next decade.

Collection

New Directions (2023)

Speakers

Senior Director, Publications, American Political Science Association
Research Data Manager, Cambridge University Press

Kiera is the Research Data Manager at Cambridge University Press, overseeing Press policies and practices in data sharing and research transparency as part of the cross-departmental Scholarly Communications R&D team. A key part of Kiera’s role is working across the Press portfolio of over 400 journals to understand their needs and challenges with respect to data sharing in different fields – and helping to develop and implement best practices and new initiatives. Kiera is currently a member of the Qualitative Data Repository’s Research Advisory Board, a Stakeholder Advisor on the FAIRsharing Advisory Board, and an active member of the Research Data Alliance. A former chemistry researcher, Kiera has also worked previously worked for the British Library and Royal Society of Chemistry on challenges and opportunities related to sharing and re-use of research outputs.
Metadata and Research Data Management Librarian, Pacific Northwest National Laboratory

Curator/Steward/Describer/Translator/Taxonomer/Project Manager of data in any form you care to throw at me. My goal is always to get the most out of the data for the end user, and have it easily accessible from multiple points. Currently interested in digital curation and research data, linked data and working with NLP-based technology to build effective text-mining tools, especially when applied towards aiding interdisciplinary research. Highly skilled in the ability to translate complex technological concepts to a non-techie audience. Experienced in handling archival materials and digitization projects, complex digital objects and their dependencies, metathesauri, and metadata standards/schemas. Currently working with researchers in the scientific and digital humanities fields to describe, package and transfer their data to our search and discovery tool. Major considerations throughout the process include maximum re-use and understanding of the data by end users, proper application of copyright, licensing and access levels, and the constant analysis of our data model for flexibility and effective interaction with open repository software. Specialties: Data curation, data analysis, metadata standards and schemas, digitization of archival materials, indexing and taxonomies, data design for bibliographic databases, project management, and translator of techie language and concepts to non-techie people.