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Value of Curation: End User Satisfaction Interest Group Update and Webinar

This post has been authored by End User Satisfaction Interest Group members Sophia Lafferty-Hess, Hoa Luong, Wanda Marsolek, and Sarah Wright. EDIT: The slides and recording for this webinar are now accessible. Thanks to all who attended! What is the impact of data curation? Do curated datasets have greater measurable value than non-curated datasets? How…

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Beyond compliance: Curation as essential open science infrastructure

The following was adapted from a presentation by Wind Cowles, Associate Dean for Data, Research, and Teaching at Princeton University, and Mikala Narlock, Director of the Data Curation Network based at the University of Minnesota. This was presented on October 19, 2023 during a workshop titled, “Developing New Approaches to Promote Equitable and Inclusive Implementation…

Insights into the Submissions to the DCN’s Shared Curation Workflow

This is a guest post from Jon Petters, Assistant Director of Data Management and Curation Services at Virginia Tech. Virginia Tech has been a part of the DCN for a couple of years now – and with two additional curators on our team (Padma Carstens and Brandie Pullen) we are excited to finally take advantage…

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June 2022 Research in the DCN

June was an incredibly busy month for the Data Curation Network – in addition to all of the activities listed in our monthly newsletter, DCN representatives were present at numerous in-person and virtual conferences. DCN Curators– if you’re interested in participating in future research projects like these, consider signing up for a Special Interest Group…

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RADS x DCN: It Takes a Network to Work

This post, by RADS Project Manager Shawna Taylor, provides an update on their recent in-person meeting. Stay up to date with the RADS project at the ARL project page. Background In April 2022, the Realities of Academic Data Sharing (RADS) Initiative project team met in-person at the offices of the Association of Research Libraries (ARL)….

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DCN Participates in OCLC Library Collaboration Research Project

The Data Curation Network has been selected as a case study on research data management collaboration as part of OCLC’s Library Collaboration in RDM series. The DCN joins Portage and the Texas Data Repository in this project. DCN members have volunteered their time to serve as interview participants to discuss both the history of the DCN…

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Depositor satisfaction with curation services: Preliminary results

We wanted to share some results about how data depositors feel about the curation services they receive from our repository staff. In spring 2021, members of the Data Curation Network surveyed 568 researchers who had recently deposited data into one of 6 academic data repositories (see table 1). Our survey in Qualtrics asked respondents to…

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DCN guest edits a special issue in JeSLIB

The most recent issue of the Journal of eScience Librarianship (JeSLIB) Volume 10, Issue 3 (2021) focused on “Data Curation in Practice” and edited by members of the Data Curation Network (DCN) was just published. Special thanks to the JeSLIB editorial board for expertly shepherding us through this amazing process and to all the authors…

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DCN collaborates with Association of Research Libraries (ARL) on National Science Foundation Award

The US National Science Foundation (NSF) has awarded the Association of Research Libraries (ARL) and six universities involved in the Data Curation Network a $297,019 grant to conduct research, develop models, and collect costing information for public access to research data across five disciplinary areas. The Realities of Academic Data Sharing (RADS) Initiative (#2135874) will…

Call for submissions to the JeSLIB Special Issue: “Data Curation in Practice”

Deadline Extended: Submissions due March 25, 2021 April 8, 2021 Share your data curation expertise, ideas, and experiences! Funders and research communities increasingly require that data sets arising from sponsored research must be preserved and shared, and many publishers either require or encourage that data sets accompanying articles are made available for reuse and reproducibility…