Abstract
Data Soup is a collaboration between the Journal of eScience Librarianship (JeSLIB) and the Data Curation Networkto host a series of community focused webinars/discussions to exchange practices for curating research data of different formats or subject areas among data curators. The lineup of the inaugural webinar includes the following speakers and topics from the recent JeSLIB Special Issue: Data Curation in Practice: Creating Guidance for Canadian Dataverse Curators: Portage Network’s Dataverse Curation Guide Alexandra Cooper, Michael Steeleworthy, Ève Paquette-Bigras, Erin Clary, Erin MacPherson, Louise Gillis, and Jason Brodeur, https://escholarship.umassmed.edu/jeslib/vol10/iss3/2; Active Curation of Large Longitudinal Surveys: A Case Study Inna Kouper, Karen L. Tucker, Kevin Tharp, Mary Ellen van Booven, and Ashley Clark, https://doi.org/10.7191/jeslib.2021.1210; Data Curation through Catalogs: A Repository-Independent Model for Data Discovery Helenmary Sheridan, Anthony J. Dellureficio, Melissa A. Ratajeski, Sara Mannheimer, and Terrie R. Wheeler, https://doi.org/10.7191/jeslib.2021.1203.
Highlights
Data Soup Webinar, December 16, 2021: hosted by the Data Curation Network and the Journal of eScience Librarianship
● The project began as a capstone to our Specialized Data Curation Workshops that were generously funded by the Institute of Museum and Library Services (IMLS)
University of Pittsburgh Health Sciences Library System Sara Mannheimer, Montana State University Terrie R
Summary
● The project began as a capstone to our Specialized Data Curation Workshops that were generously funded by the Institute of Museum and Library Services (IMLS). Peer-reviewed concise resources to assist the data curator with recommendations for curating specific formats or curation topics!. Le GT a adapté le cadre CURATE(D) du Data Curation Network pour répondre aux besoins des curateurs de Dataverse canadiens dans les deux langues officielles
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