Data Curation Network Planning Phase (2016-2017)
Persistent link for this collectionhttps://hdl.handle.net/11299/202808
The research findings and primary outcomes of an Alfred P. Sloan Foundation grant titled “Planning the Data Curation Network” that ran from May 2016–June 2017, led by the University of Minnesota Libraries with partners from Cornell University, Pennsylvania State University, the University of Michigan, the University of Illinois, and Washington University in St. Louis.
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Item Data Curation Network Poster presented at the Research Data Alliance 10th Plenary, Montreal, CA September 20, 2017.(2017-09) Olendorf, Rob; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Stewart, Claire; Johnston, LisaPoster presented at the Research Data Alliance 10th Plenary, Montreal, CA September 20, 2017.Item (Preprint) Data Curation Network: A Cross-Institutional Staffing Model for Curating Research Data(2017-07-27) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireThe Data Curation Network (DCN) addresses the challenge of scaling domain-specific data curation services collaboratively across a network of multiple institutions and digital repositories in order to provide expert data curation services in disciplines and domains beyond what any single institution might offer alone. The DCN will serve as the “human layer” in a local data repository stack that provides expert services, incentives for collaboration, normalized curation practices, and professional development training for an emerging data curator community. Data curation enables data discovery and retrieval, maintains data quality, adds value, and provides for re-use over time through activities including authentication, archiving, management, preservation, and representation. Data curation requires a specialized skill set that spans a wide variety of data types (e.g., spatial/GIS, tabular, database, etc.) and discipline-specific data formats (e.g., chemical spectra, 3D images, genomic sequence, etc.). Our model networks these skills so that data curation services might be provided at scale for institutions of all sizes. The report includes a summary of the research done by the planning phase team to develop the model, which included focus groups with faculty researchers, controlled data curation pilots, and a survey of the library curator community to understand existing support and plans for future services in these areas. Our DCN model included detailed staffing roles, institutional participation levels, ingest workflows and curation procedures, and an implementation and sustainability plan that is grounded in one year’s assessment of the measurable metrics and observed demand for data curation services across our six planning phase institutions.Item Project Update to SHARE Community Meeting(2016-07-13) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Planning the Data Curation Network: SciData Con 2016(2016-09) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Planning the Data Curation Network: DLF Forum 2016(2016-11-08) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Data Curation Network Preliminary Results(2017-01-24) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Curate a data set to capture and compare curation activities across network partners(2017-02-21) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem “Bridging the Gaps of Providing and Scaling Research Data Curation Services”(2017-04-19) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Planning the Data Curation Network: PresQT 2017(2017-05-01) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem A collective approach to providing research data curation services(2017-05-16) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem The State of Data Curation in ARL Libraries: Looking Forward – Growth & Challenges(2017-05-24) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Data Curation Perception and Practice(2017-05-24) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem SPEC Kit #354: Data Curation(American Research Libraries, 2017-05) Hudson-Vitale, Cynthia; Imker, Heidi; Johnston, Lisa R; Carlson, Jake; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireThe purpose of this survey was to uncover the current staffing and infrastructure (policy and technical) at ARL member institutions for data curation, understand the current level of demand for data curation services, and discover any challenges that institutions are currently facing regarding providing data curation services. The survey was distributed to the 124 ARL member libraries in January 2017. Eighty (65%) responded by the January 30 deadline.Item Results of the Librarian-Focused Rankings of the Data Curation Activities(2017-05-19) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Results of the Fall 2016 Researcher Engagement Sessions(2017-03-09) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Results of the Fall 2016 Data Curation Pilot(2017-03-15) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireThe Data Curation Network began the planning phase of our project with a one-year grant from the Alfred P. Sloan foundation in May 2016. The project will develop a shared staffing model for curating research data that draws from the expertise across multiple institutions in order to broaden the depth and breadth of curation services beyond what a single institution might offer alone. In the fall of 2016, we conducted two rounds of pilots involving data curation workflows. Our primary goals were to 1) identify what our (actual) individual curation practices were in order to compare curation steps taken, 2) begin to establish what training network curators would need, and 3) identify any issues, misaligned expectations, and/or conflicts with the goals of the project.Item Ratings of Importance for Data Curation Activities(2016-12-15) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Definitions of Data Curation Activities used by the Data Curation Network(2016-10) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem DCN Team Kick-off Meeting outputs: Vision, Barriers, Metrics, and Strategic Directions(2016-07) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem [Preprint] Data Repository and Curation Services, How Do We Compare? A Snapshot of Six Academic Library Institutions(2016-06) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Stewart, Claire; Hswe, Patricia