Data Curation Network
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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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Item Enabling structures of collaborative endeavors: Suggestions for budding communities(2023) Narlock, Mikala; Luong, HoaThe Data Curation Network, a consortium of 17 academic and non-profit data repositories, recently transitioned to a sustainable, member-funded organization. As an example of a sustainable collaborative network, we wanted to remove the magic and mystery of collaboration and unpack the emotional, mental, and technical labor that went into establishing this network. We conducted a project retrospective in March 2022 to better understand what components of our collaborative efforts were most impactful to the success and sustainability of our network. We found that our work relies on radical interdependence: in addition to our work as a collective, we grow more comfortable and adept making decisions behind the veil of ignorance, channel our vulnerability, foster psychological safety and engage in earnest, even uncomfortable, conversations about our work, which allows us to foster collaborative solutions. In this poster, we describe the structures of radical interdependence, both tangible and intangible so participants can leave with a better understanding of the enabling factors of collaborative efforts. We will share information about three different types of critical structures that enabled the success of our work: tool-based structures, administrative structures, and trust-based structures. Presented virtually at RDAP 2023.Item Ensuring long-term reusability and reproducibility: Collaborative Curation for FAIR data(2022) Narlock, Mikala R.; Taylor, ShawnaThrough 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.Item 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, JakeThe 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.