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Data Management Practices for Early Career Scientists

Learn valuable data management practices to improve the usability of your data sets, save time on data management, and enhance collaboration and data sharing. Workshop agenda includes topics like metadata, preparing data sets, archiving spatial data, creating a data management plan, and organizing data sets.

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Data Management Practices for Early Career Scientists

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  1. Data Management Practices for Early Career Scientists Robert Cook ORNL Distributed Active Archive Center Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge, TN cookrb@ornl.gov 5th NACP Principal Investigator’s Meeting Washington, DC January 25, 2015

  2. Presenter: Bob Cook • Biogeochemist, Oak Ridge National Laboratory, Oak Ridge, TN • Chief Scientist, NASA’s ORNL Distributed Active Archive Center for Biogeochemical Dynamics • Associate Editor, Biogeochemistry • Editor, Scientific Data, a Nature Journal • cookrb@ornl.gov ORNL, Oak Ridge, TN

  3. Workshop Team • Robert Cook, Oak Ridge National Laboratory • Viv Hutchison, US Geological Survey • Yaxing Wei, Oak Ridge National Laboratory • Alison Boyer, Oak Ridge National Laboratory

  4. Participant Introductions • Name • Institution • Data type (tabular, spatial, or both) • Favorite data tool

  5. Workshop Goal Provide data management practices that investigators should perform during the course of data collection to improve the usability of their data sets

  6. Benefits of Good Data Management Practices Short-term • Spend less time doing data management and more time doing research • Collaborators can readily understand and use data files Long-term (data archival) • Scientists outside your project can find, understand, and use your data • You get credit for archived data products and their use in other papers • Funding agencies protect their investment

  7. NACP Data Used for . . . • Understanding carbon cycle processes • Developing and validating biogeochemical process models • Validating remote sensing products and ecosystem models • Addressing hypotheses that can only be addressed by integrating data sets from multiple studies and disciplines

  8. Requirements for sharing data • US Agencies • Journals

  9. Data Management Practices for Early Career Scientists Workshop Agenda 1:00 - 1:10  Workshop Introduction (Bob Cook, ORNL) 1:10 - 1:20  An Introduction to Metadata (Viv Hutchison, USGS) 1:20 - 2:10  Fundamental Practices for Preparing Data Sets (Bob Cook, ORNL) 2:10 - 2:30 Preparing Metadata Records (Viv Hutchison, USGS) 2:30 - 3:00  Break 3:00 – 3:40  Preparing Spatial Data to Archive (Yaxing Wei, ORNL) 3:40 - 4:00  Elements of a Data Management Plan (Alison Boyer, ORNL) 3:30 - 4:15  Organizing data sets: Participants are encouraged to bring their own data sets, which we will assist in organizing (Workshop Team) 4:15 - 4: 30 Workshop Closing (Bob Cook, ORNL)

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