DataONE PPSR Data Management Guide
Wiggins, A., Bonney, R., Graham, E., Henderson, S., Kelling, S., Littauer, R., LeBuhn, G., Lotts, K., Michener, W., Newman, G., Russell, E., Stevenson, R. & Weltzin, J. (2013). Data Management Guide for Public Participation in Scientific Research. DataONE: Albuquerque, NM.
Summary: This guide provides a
step-by-step introduction to the data management life cycle. It
includes examples from citizen science projects and links to best
practices and tools to help project organizers optimize the
quality, usability, and accessibility of their project data. Many
benefits result from following best practices to manage the data
life cycle for a citizen science project. Organizers spend less
time on data management and more time on project goals by
investing in data management plans and practices. Better data
management makes data easier to find, use, analyze, share and
reuse. In the long term, following good data management practices
means that citizen science data can contribute to
decision-making, policies, and research beyond the project’s
original scope.
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