Browsing by Subject "Data curation"

Now showing 1 - 7 of 7
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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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    Ensuring long-term reusability and reproducibility: Collaborative Curation for FAIR data
    (2022) Narlock, Mikala R.; Taylor, Shawna
    Through the Data Curation Network (DCN), members enable findable, accessible, interoperable, and reusable (FAIR) data through a shared curation model, education and outreach efforts, and research and advocacy. This work exists within a member- funded and member-driven organization, with a focus on sustainability and long-term growth. Members of the DCN help shape the future of data curation and enable FAIR data by sharing best practices, collaboratively addressing shared challenges, empowering and educating one another, and advocating for data curation broadly. Poster created for and presented at the 17th International Digital Curation Conference (IDCC) June 2022. Includes a sixty second audio file describing the poster.
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    Life Rafts in a Sea of Data: The Role of Librarians in Supporting Data Sharing
    (2022-04-06) Carlson, Jake; Narlock, Mikala R.
    The NIH has updated its policies on managing and sharing research data and will require a Data Management and Sharing Plan for all NIH-funded projects beginning in January 2023. This impending change may seem overwhelming, particularly for researchers who have not had to consider how to make their data findable, accessible, interoperable, or reusable by others outside of the project team before. Librarians have prepared for the data sharing requirements made by funding agencies and publishers, and many academic libraries now offer data services to help researchers navigate through the process. Librarians offer services and support to help craft actionable data sharing plans, to assist researchers in considering how to document and organize their data, and to prepare data for deposit into a repository. Our presentation will introduce you to how librarians approach data services and how to connect with the services they provide.
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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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    Researcher Approved: a Multi-institutional Survey of Depositors to Six Academic Data Repositories
    (2022) Wright, Sarah; Marsolek, Wanda; Luong, Hoa; Braxton, Susan; Lafferty-Hess, Sophia; Carlson, Jake
    The Data Curation Network (DCN) is a collaborative network of curators advancing open research by making data more ethical, reusable, and understandable. Institutional members participate in and learn from a community of expert data curators and curate data via a cross-institutional shared staffing model. This enables institutions to submit data sets to the network when they are outside of our local expertise or when local curators are busy or absent. The collaborative network model benefits our curators; however we questioned whether there is an impact on depositors. In order to evaluate end user satisfaction with data curation services, we surveyed recent depositors over the past year and a half, regardless of whether they received curation locally or from DCN curators. The result was overwhelmingly positive: we enjoyed a high response rate and consistently laudatory feedback including many free-text responses testifying to the value of curation. In times of tight budgets and constricting services, it is good to have researcher testimonials and survey data to indicate the added value of curatorial review to the data sharing process, and evidence that a collaborative network of data curators benefits us all.
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    “We’re all doing the best we can with what we’ve got": Preservation practices of Data Curation Network members
    (2022) Luong, Hoa; Narlock, Mikala R.; Petters, Jonathan
    Over the course of six weeks, members of the Data Curation Network were interviewed by then Assistant Director to discuss their research data preservation practices. Through these semi-structured interviews, several commonalities emerged, including key challenges that will need to be addressed to ensure the long-term reusability of research data as well as the similar mentality many institutions expressed: that they are doing the best they can with what they have. The authors conclude by identifying areas of potential future research as well as practical collaboration opportunities. This presentation was presented at iPRES (the International Digital Preservation Conference) in Glasgow, Scotland, September 2022.
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    Where we’ve been and where we’re going: Reflecting on the Data Curation Network
    (2023) Narlock, Mikala R.
    At the Fall 2022 CNI Member Meeting, the Data Curation Network (DCN) presented on our three types of infrastructure which can enable cross-institutional collaborations to be successful: tool-based infrastructure, collaborative administrative structures, and trust-based communication mechanisms. These structures of success surfaced from DCN members during a retrospective meeting, a three day member-driven effort to evaluate the successes and the challenges we faced during the first few years of building the network. Following our discussions at the DCN Retrospective, we collaboratively authored a comprehensive report on the development of the DCN, set to be published March 2023 by the University of Michigan Press. In this project briefing, we will build on our Fall CNI presentation and discuss the successes and challenges of establishing the DCN, as described in the forthcoming book The Art, Science, and Magic of the Data Curation Network: A Retrospective on Cross-Institutional Collaboration. Specifically, we will discuss the success of our three central programs – curation, education, and research– which have fostered our engaged community of practice. We will also describe the challenges we have grappled with as a network, and how we hope to overcome some of these issues moving forward. Finally, we will conclude by reflecting on potential future collaborative endeavors to support research data sharing and management.