Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.

Data Curation Network Outputs

Persistent link for this collectionhttps://hdl.handle.net/11299/225718

Research and outputs from the Data Curation Network, a community of professional data curators, data management experts, data repository administrators, disciplinary scientists and scholars that represent academic institutions and non-profit data repositories who steward research data for future use. We strive to build a trusted community-led network of curators advancing open research by making data more ethical, reusable, and understandable.

Project website: https://datacurationnetwork.org/

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Browsing Data Curation Network Outputs by Title

Now showing 1 - 20 of 64
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    A Newcomer’s Thoughts on Artificial Intelligence
    (Data Curation Network, 2024-09) Carlo, Kimberly Gisselle
    Excerpt from the post: "I participated in the NNLM National Center for Data Services (NCDS) internship this summer, with the Data Curation Network (DCN) as a site host, with just a semester from the MLIS program at University at Buffalo under my belt. I was given the opportunity to work and learn from a researcher perspective, as well as to learn what it takes to be a data curator or data librarian. I entered this internship not expecting to use artificial intelligence (AI) at any point. When I found out that was an option to use with AI to curate data, albeit experimentally, I instantly thought to myself, “no, thanks.” I had a view about AI that most people probably have: AI is unethical, it steals work from others, and we don’t understand precisely where this information is originating from. "
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    Annual Report 2021: End of Year Highlights of the Data Curation Network
    (2021) Johnston, Lisa R; Narlock, Mikala
    This report showcases the numerous endeavors the DCN supports, from shared curation to conducting research in Special Interest Groups, active collaborations, and education opportunities. This report also includes an overview of the newly adopted and implemented Governance Model.
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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
    (2023-01-31) 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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    Beyond compliance: Curation as essential open science infrastructure
    (2023-10-19) Cowles, Wind; Narlock, Mikala
    Presented October 19, 2023: “Developing New Approaches to Promote Equitable and Inclusive Implementation of Open Scholarship Policies.” Hosted by The National Academies of Sciences, Engineering, and Medicine’s Roundtable on Aligning Incentives for Open Scholarship.
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    Championing Institutional Data Sharing Efforts
    (Coalition for Networked Information, 2024) Carlson, Jake; Narlock, Mikala R.
    Data repositories are an essential component of the emerging infrastructure that is needed for sharing, stewarding and preserving research data at scale. However, the landscape of data repositories is uneven, fractured, and evolving. In the absence of widespread domain repositories, many academic libraries have stepped in to fill this gap through developing institutional data repositories (data IRs) to meet the needs of researchers located at their host institution. However, much like domain repositories, data IRs are evolving at an uneven rate in isolation from one another. With the federal government’s recent release of community guiding documents such as the Desirable Characteristics of Data Repositories (DC-DR) and the Nelson Memo, the time is right for data IRs and data service providers to explore areas where they could collaborate more closely to develop consensus around best practices for providing data services and how we might better connect our individual infrastructures. The Data Curation Network (DCN) recently received funding from the NIH in support of developing community-centered approaches in advancing institutional data services and data IRs, to be developed at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS). At STAIRS, attendees will assess the current state of institutionally based data services and data IRs, discuss areas of service and infrastructure that would benefit from cross-institutional approaches, and explore ways in which we could strengthen collective alignment with the DC-DR, the Nelson memo and other emerging initiatives. In this pre-recorded video, we will describe the work done by the DCN in exploring the need for greater alignment across institutions and share information about the upcoming STAIRS workshop, including how to apply to attend.
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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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    Curating Historical Scientific Analog Data
    (2023-09) Farrell, Shannon; Kelly, Julia; Hendrickson, Lois; Mastel, Kristen
    This in-depth case study features speakers Shannon Farrell, Julia Kelly, Lois Hendrickson, and Kristen Mastel from the University of Minnesota Libraries. Building on their recent publication, the presenters will share their experiences discovering and capturing heterogeneous historic data, the various forms the data took, and suggestions for others interested in capturing historical, analog data. Presented September 12, 2023.
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    Curation + Community: About the Data Curation Network
    (2023) Narlock, Mikala R.
    Presented to the Landesinitiative für Forschungsdatenmanagement in May 2023. A brief overview of the Data Curation Network, including information about how the DCN was started, how we are structured, and how our work is funded.
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    Data Curation Network and the Role of Librarians in Curating Data
    (2022-01-26) Johnston, Lisa R; Carlson, Jake
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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 Curation Network: Collaboratively Enhancing Capacity for Research Data Support
    (2021-12-14) Kozlowski, Wendy; Johnston, Lisa R
    Since its launch in 2016 the Data Curation Network (DCN) has grown into a radically collaborative network of institutions, data repositories, and organizations focused on the ethical sharing of research data. Growing beyond its original scope of shared staffing for data curation, the DCN has become a thriving community and sustainable organization that advocates for data curation and data curators and provides a unique platform for exploration and research. This presentation will highlight efforts underway in the DCN and provide project updates including research assessing the value of curation, an NSF-funded workshop to build and strengthen “data communities'' with our partners at Ithaka S+R, a multi-year NSF EAGAR grant to develop evidence-based models for campus data sharing infrastructure with our partners at ARL, a racial justice initiative to better incorporate inclusive and equitable data curation practice into our work, and the DCN strategic plan for the next three years.
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    Data curation: A guide to what and how
    (Data Curation Network, 2024) Narlock, Mikala R.
    Presented October 16, 2024 virtually to the National Cancer Institute Annual Data Sharing Symposium, this presentation provides a high-level overview of data curation with helpful resources for data stewards and researchers.
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    Data for "Knowledge Infrastructures Are Growing Up: The Case for Institutional (Data) Repositories 10 Years After the Holdren Memo"
    (2023-10-09) Narlock, Mikala R.; Priesman Marquez, Rachel; Herrmann, Heather; Ibrahim, Maisarah; mnarlock@umn.edu; Narlock, Mikala
    Recognizing that institutional repositories (IRs and IDRs) have been, and will continue to be, key infrastructure researchers utilize to share their data (either due to funder, publisher, or institutional requirements, or to promote open science) the authors, as individual members of the Data Curation Network (DCN), recognized the imperative to assess the current IR and IDR landscape. To that end, we conducted a review of institutional and data repositories based at Association of Research Libraries (ARL) institutions to better understand: Are either institutional repositories or institutional data repositories receiving datasets? If so, has this increased over time and, if so, by how much?
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    Data Sharing Readiness of Academic Institutions
    (Data Curation Network, 2023) Johnston, Lisa R.
    This presentation builds on a 2020 study to provide an overview of data sharing readiness in academic institutions, and makes the case for why academic institutions should support researchers in sharing research data efforts. This was presented as part of the Data Curation Network's Repository Readiness Virtual Learning Series, Summer 2023.
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    Data Sharing Services and Infrastructure at Princeton: A case study
    (Data Curation Network, 2023) Cowles, Wind
    This presentation provides a case study for building a sustainable data sharing infrastructure at Princeton University. This was presented as part of the Data Curation Network's Repository Readiness Virtual Learning Series, Summer 2023.
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    DCN and the Chamber of Community
    (Data Curation Network, 2022) Gonzalez, Liliana
    Blog post by Liliana Gonzalez, Data Curation Network (DCN) intern through the National Center for Data Services (NCDS). This post refers to the author's experience while attending the DCN annual All Hands Meeting held in June 2022. These internships are funded with Federal funds from the National Library of Medicine (NLM) and the National Institutes of Health (NIH).