Browsing by Author "Data Curation Network"

Now showing 1 - 18 of 18
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    Annual Report 2022: End of Year Highlights of the Data Curation Network
    (2023) Data Curation Network
    This report showcases the numerous endeavors the DCN supports, including information about our members, our shared expertise and community of practice, research efforts, and governance. Some highlights from 2022: through our radical collaboration, in which we rely on and support one another, and focus on community-centered professional development, the DCN is recognized for our advocacy and expertise; the DCN is an active research partner, highlighting the work of data stewards in supporting data communities, understanding the costs of academic sharing, and improving the value of data shared by our institutions; the Data Curation Network (DCN) released our 2022-2025 Strategic Framework, which includes 8 key objectives.
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    Annual Report 2023: End of Year Highlights of the Data Curation Network
    (2024-01-31) Data Curation Network
    This report showcases the numerous endeavors the DCN supports, including information about our members, our shared expertise and community of practice, research efforts, and governance. Highlights from the year include four in-person workshops, our first in-person All Hands Meeting since 2019, and a continued focus on the community that is the heart of the DCN.
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    Annual Report 2024: End of Year Highlights of the Data Curation Network
    (2025-01-31) Data Curation Network
    This report showcases the numerous endeavors the DCN supports, including information about our members, our shared expertise and community of practice, research efforts, and governance. Highlights from the year include the dissemination of curricula for specialized data curation, updates from our partnership with the National Center for Data Services, and a continued focus on the community that is the heart of the DCN.
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    Checklist of CURATED Steps Performed by the Data Curation Network, v.1
    (Data Curation Network, 2018) Data Curation Network
    The DCN developed a standardized set of C-U-R-A-T-E-D steps and checklists to ensure that all datasets submitted to the Network receive consistent treatment. The CURATE(D) Checklists were drafted in the planning phase of the project and further enhanced by members of the DCN at the First Annual All Hands Meeting in July, 2018. The most up to date version is available at: https://z.umn.edu/CURATE
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    Checklist of CURATED Steps Performed by the Data Curation Network, v.2
    (2022) Data Curation Network
    The DCN developed a standardized set of C-U-R-A-T-E-D steps and checklists to ensure that all datasets submitted to the Network receive consistent treatment. The CURATE(D) Checklists were revised to include more information about how to use the workflow and incorporates ethical considerations at each step. The most up to date version is available at: https://z.umn.edu/CURATE
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    Data Curation Network End User Survey 2021
    (2021-09-28) Wright, Sarah; Johnston, Lisa; Marsolek, Wanda; Luong, Hoa; Braxton, Susan; Lafferty-Hess, Sophia; Herndon, Joel; Carlson, Jake; jw256@cornell.edu; Wright, Sarah; Data Curation Network
    This dataset includes the processed dataset from the 2021 End User Survey performed by the Data Curation Network.
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    Data Curation Network Governance Model v 2, revised June 2022
    (Data Curation Network, 2022) Data Curation Network;
    A revised version of the Data Curation Network's Governance Model for fiscal year 2022-2023 (July 1-June 30). This version of the DCN's Governance Model amends the description of the Executive Committee and it's roles and responsibilities as a DCN structure; redesigns the role of DCN Director, now that it is a full time position; removes elections as the means of determining committee chairs and Executive Board committee members in favor of seeking volunteers; and removes Beta Membership as an option from our website, but retaining it as an option to consider when recruiting members to provide greater flexibility. The DCN Governance model will be reviewed on no less than an annual basis by the DCN Governance Board to ensure it accurately reflects and represents the culture, practices and needs of the DCN.
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    Data Curation Network Governance Model v 3, revised June 2023
    (Data Curation Network, 2023) Data Curation Network
    A revised version of the Data Curation Network's Governance Model for fiscal year 2023-2024 (July 1-June 30). This model includes the formal adoption of a Finance Committee.
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    Data Curation Network Strategic Framework 2022-2025 v1.0
    (2022) Data Curation Network
    Our three year “living” strategic framework outlines the Data Curation Network's vision for continued growth while further cementing our sustainability as an organization and within the open research community. The purpose of this document is to: -Publicly and clearly articulate the Data Curation Network’s mission, vision, and values -Capture members’ ideas and aspirations for the next few years -Anticipate (in order to respond to) spending priorities -Help all DCN members understand what they can do to move us forward
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    Data supporting: "Testing Our Assumptions: Preliminary Results from the Data Curation Network"
    (2020-06-04) Coburn, Elizabeth; Johnston, Lisa R; ecoburn@umn.edu; Coburn, Elizabeth; Data Curation Network; University Libraries
    Data were collected during the first year of the Data Curation Network's pilot shared data curation service. These data and analysis of these data are the basis of the findings presented in the associated manuscript.
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    DCN is Ready to Support Policies Resulting from OSTP Public Access Memo
    (2022) Data Curation Network
    Data Curation Network's collective response to the 2022 Office of Science and Technology Policy titled, "Ensuring Free, Immediate, and Equitable Access to Federally Funded Research." This was also published on the DCN's public website.
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    DCN Response to Best Practices for Sharing NIH Supported Research Software
    (Data Curation Network, 2024) Data Curation Network
    The Data Curation Network submitted a response to the National Institutes of Health Best Practices for Sharing NIH Supported Research Software (RFI NOT-OD-24-005). With special thanks to Madina Grace, Laura Hjerpe, Greg Janée, Sherry Lake, Vicky Rampin, Nicholas Wolf, and Rachel Woodbrook for their comments and suggestions that are the foundation of this document.
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    DCN Response to Implementation Plan to Increase Public Access to USDA-Funded Research Results
    (Data Curation Network, 2024) Data Curation Network
    The Data Curation Network submitted a response to the USDA’s Implementation Plan to Increase Public Access to USDA-Funded Research Results (Notice 2024-01673). With special thanks to Leslie Delserone (University of Nebraska-Lincoln), Laura Hjerpe (University of Virginia), Sherry Lake (University of Virginia), Matthew Murray (University of Colorado Boulder), and Jon Petters (Virginia Tech) for their comments and suggestions that are the foundation of this feedback.
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    DCN Response to NSF Public Access Plan 2.0
    (Data Curation Network, 2023) Data Curation Network
    The Data Curation Network submitted a response to the National Science Foundation Public Access Plan 2.0: Ensuring Open, Immediate, and Equitable Access to National Science Foundation Funded Research. This response drafted by many individuals, including Sherry Lake, Ricky Patterson, and Vicky Rampin.
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    Level of curation self-reported by 100 CoreTrustSeal certified repositories (2017-2019)
    (2021-02-10) Johnston, Lisa R; ljohnsto@umn.edu; Johnston, Lisa R; Data Curation Network
    This dataset extracts and makes machine-actionable the responses to the "Level of curation performed" component of the CoreTrustSeal application v01 (2017-2019). The author reviewed 100 applications in pdf file format and compiled the responses into one spreadsheet for further analysis. Additionally, the CTS application instructions for v01 were parsed in order to analyze the completed applications and included here in a spreadsheet.
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    Peer Compare Preservation Practices Benchmark Report
    (2022) Data Curation Network
    DCN members participated in a pilot project in early 2022 in which partner representatives were invited to individual meetings with then DCN Assistant Director, Mikala Narlock, to share and discuss their current preservation practices, specifically with regards to research data. This report details the background, project methodology, results, shared challenges and opportunities, and potential future projects for the DCN and similar peer organizations. These conversations revealed that many members share challenges, such as creating and managing preservation metadata, drafting and sharing retention and review policies, or collaborating on the complex preservation of blended software and code. The overall sentiment of interviews is that each institution is preserving content to the best of their abilities now, while watching research data preservation best practices develop. This report should be understood as a snapshot in time and a benchmark of current practices.
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    Supplementary Data for 'How Important Are Data Curation Activities to Researchers? Gaps and Opportunities for Academic Libraries'
    (2018-02-06) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, Claire; ljohnsto@umn.edu; Johnston, Lisa; Data Curation Network
    Building on past user-needs assessments performed via survey and focus groups, the authors sought direct input from researchers on the importance of and utilization of specific data curation activities. Methods: Between October 21, 2016, and November 18, 2016, the study team held focus groups with 91 participants at six different academic institutions to determine which data curation activities were most important to researchers and which activities were happening for their data, and to understand how satisfied they were with the results. Supplementary data tables expand on the selected data presented in the paper. The two survey protocols, card rating exercise template and worksheet template, were used in our engagement sessions and are presented here for reuse.
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    Value of Curation Survey, January 2021
    (2021-08-30) Johnston, Lisa; Curty, Renata; Lafferty-Hess, Sophia; Hadley, Hannah; Petters, Jonathan; Luong, Hoa; Braxton, Susan; Carlson, Jake; Kozlowski, Wendy A; rcurty@ucsb.edu; Curty, Renata; Data Curation Network
    This dataset includes the raw and augmented survey results from the January 2021 Value of Curation survey run by the Data Curation Network. Distributed to US data repository staff and directors via email listservs the survey received a total of 120 responses. 22 responses were for non-US repositories and three did not provide a repository of reference. A majority of the participants self-identified as staff members with 52 staff and 34 repository directors. The remaining were 5 unaffiliated users, and 4 unaffiliated depositors. A third of the responses (68) were associated with certified CoreTrustSeal repositories, and 27 responses were related to members of the Data Curation Network (DCN).