Presentation at the 2018 Digital Library Federation forum in Las Vegas, NV.“Launching the Data curation Network: A cross-institutional staffing model for curating research data” funded 2018-2021 by the Alfred P. Sloan Foundation grant G-2018-10072

Carlson, Jake

Johnston, Lisa

Kozlowski, Wendy

Olendorf, Robert

Presentation at the 2018 Digital Library Federation forum in Las Vegas, NV.“Launching the Data curation Network: A cross-institutional staffing model for curating research data” funded 2018-2021 by the Alfred P. Sloan Foundation grant G-2018-10072.Johnston, Lisa; Carlson, Jake; Kozlowski, Wendy; Olendorf, Robert. (2018). Putting theory into practice: Lessons from the Data Curation Network. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/208681

University of Minnesota Digital Conservancy

Lisa Johnston University of MinnesotaJake Carlson University of MichiganWendy Kozlowski Cornell University Robert Olendorf Penn State UniversityData Curation NetworkDLF 2018 Putting theory into practice: Lessons from the Data Curation NetworkOctober 16, 2018Outline of Talk1. 5m - Introduction to the DCN - Lisa2. 20m - What we mean by data curation - Rob and Wendy3. 10m - Building the DCN curator community - Jake4. 5m - Building the broader data curation community - Jake5. 5 min - Next steps for the DCN - Lisa6. 10m for q&a Data Curation NetworkResearchers are faced with a growing number of requirements (and incentives) to ethically share their research data.Data Curation NetworkWell curated data are more valuable.Data Curation NetworkThe skills and expertise required to curate data cannot be fully automated nor reasonably be provided by a few experts siloed at single institutions. Data Curation NetworkThe Data Curation Network (DCN)addresses this challenge bycollaboratively sharing data curation staff across a network of partner institutions and datarepositories.Data Curation NetworkData Curation NetworkData Curation Network2016 – 2017 Planning phase with six institutionsJuly 2017 DCN Model released for comment2018-2021 Three-year implementation phase with eight institutions2020-Beyond Open the network to new members and end-usersDCN Progress to Datehttp://DataCurationNetwork.org What do we really mean bydata curation?Data Curation NetworkData Curation NetworkUncurated Data Presenting scale and expertise challenges to individual institutionsCurated Data at scale and with great efficiency through shared Data Curation NetworkAppraise and SelectIngest Preserve Long-TermFacilitate AccessDCN- Researchers deposit like normal- DCN functions as a microservice layer (the “human layer in your repository stack”)- Local institution maintain full responsibility for all technical functionality (eg. storage) and authority for local decision-making (what to ingest, how long to retain, etc.)- Seamlessly integrates into all repository systems (Samvera, Fedora, DSpace, etc.)DCN Workflow Data Curation NetworkUncurated Data Presenting scale and expertise challenges to individual institutionsCurated Data at scale and with great efficiency through shared Data Curation NetworkAppraise and SelectIngest Preserve Long-TermFacilitate AccessDCNData Curation NetworkDCN Coordinator Workflow Review Assign CURATE Mediate ApproveDCN Curator Workflow Check Understand Request Augment Transform EvaluateC U R A T EDCN Workflow Data Curation NetworkCURATE Steps in DCN WorkflowDCN Curators will take CURATE steps for each data set, that includes: Check data files and read documentation  Understand the data (try to), if not…    Request missing information or changes   Augment the submission with metadata for findability Transform file formats for reuse and long-term preservation Evaluate and rate the overall submission for FAIRness.Data Curation NetworkCURATE Steps in DCN WorkflowDCN Curators will take CURATE steps for each data set, that includes: Check data files and read documentation  Understand the data (try to), if not…    Request missing information or changes   Augment the submission with metadata for findability Transform file formats for reuse and long-term preservation Evaluate and rate the overall submission for FAIRness. Document curation activities (accessioning, provenance, workflow)DCN ChecklistsData Curation Networkhttp://z.umn.edu/curate Data Curation Networkhttps://scholarsphere.psu.edu/concern/generic_works/gxd07gs54vMost Data Is Initially Less Than Good● Often only data● Code doesn’t run (if present)● No description● No README● No Data Dictionary● Poorly NameData Curation Networkhttps://scholarsphere.psu.edu/collections/79407x18hIt Takes A Lot Of Effort To Improve The Data A Little● Specialized File Types Are Common● Domain Experience Helps● It Takes A Lot of “Collaboration” With the Researcher(s)● It Takes Time (Weeks)● Researchers Can Get Frustrated● Researchers Push Back● Incremental Improvements Are ExpectedData Curation Networkhttps://scholarsphere.psu.edu/collections/jw827b80nThe Benefits Can Be Great For Curated Data● More Reuse of Data● More Trust of Data● Improved Impact of Research● Improved Job Prospects for Researchers● Improved Reputation of LibraryThe DCN will help support cross-institutional collaborations.Data Curation NetworkDCN Community Collaboration ExampleData Curation NetworkCT Scan Data WorkflowData Curation Network1. Specimens are placed in a CT scanner which produces hundreds of images in a proprietary format2. Images are “reconstructed” into TIFF Stacks3. Software is used to enable 3D images of the specimen  Deep Blue DataData Curation Network  University of Michigan’s Institutional Data RepositoryData Curation Network  https://www.morphosource.org/Detail/SpecimenDetail/Show/specimen_id/12127ConnectionsData Curation NetworkMetadataAccess and PreservationDiscovery But data curation is more than actions. The Data Curation Network will also be a community for data curators.Data Curation NetworkExpanding our capacity to curate dataData Curation NetworkImage Source: http://www.cbsdreamteam.com/the-henry-fords-innovation-nation/Public Health Archeology BiochemistryClimate ScienceNuclear EngineeringGeospatialCodeNetCDFTIFFCSVPDFTextData Formats - NetCDF Data Curation NetworkDeveloping Tools - NetCDF PrimerData Curation Networkhttp://bit.ly/NetCDFPrimer DCN Training Workshop Data Curation NetworkAttendees will:1. Increase understanding of data curation practices and tools in various disciplines, data types, and formats2. Share expertise and enhance curation capacity for librarians nationwide3. Meet like-minded colleagues who are interested in building and extending curation practices at their institutions.4. Develop a Primer to address specific challenges in curating dataOctober 17-18th Spring 2019 Fall 2019DCN Training Workshop Data Curation NetworkNext steps for the DCN and our plans for sustainability.Data Curation NetworkData Curation Network6-year Roadmap toward SustainabilityTransition from planning phase to sustaining phaseYear 0 Year 1 Year 2 Year 3 Year 4 Year 5 Year 6Support Sloan Grant Grant Funded (Y1-Y2) transition to partnership model (Y3) Curation-as-service (Y4-6)Timing 2016-17 2017-19 2020-22 2022-2023Phase Planning Implementation Transition SustainingPartners 6 academic institutions8 academic institutionsand 2 disciplinary partners Recruit new partners as use and demand dictateMission: With a proven and appealing value-proposition, the Data Curation Network will expand into a sustainable entity that grows beyond our initial partner institutions.Data Curation NetworkData Curation-as-serviceThanks!https://DataCurationNetwork.org   Twitter #DataCurationNetworkData Curation Network

Putting theory into practice: Lessons from the Data Curation Network

https://conservancy.umn.edu/bitstream/handle/11299/208681/Presentation_DCN%20DLF%20Panel.pdf?sequence=1&isAllowed=y

Putting theory into practice: Lessons from the Data Curation Network

Abstract

Similar works

Full text

Available Versions

University of Minnesota Digital Conservancy