Data management-handout


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Data management-handout

  1. 1. Data Management Responsible Conduct of Research Seminar Series Jeffery Loo, UCB Library, April 16, 2012 Presentation slides at Definition Data management is about how you organize, store, use, and share your research data. PurposeTo review some first steps of data management with a focus on data organization, storage, and sharing.Saving data  Traditional storage devices = personal computers, departmental and university servers  Institutional archives and repositories o UC3 Merritt, o Data repository management services at UCB,  Public archives and repositories (search for one at  3rd party cloud storage (e.g., Amazon S3, Google Docs, Dropbox)  Save with file formats that offer long-term access  Backup 3 copies: original master, local external storage, remote external storage  Online backup services o At UC Berkeley, o 3rd party services, data (metadata)  Overview of metadata,  Example metadata elements, management/metadata.html  Recording metadata o readme.txt file o metadata form/record in an archive/repository o annotate data (e.g., XML,  Assign descriptive file and folder namesSharing data  Reinventing Discovery by Michael Nielsen (book, 2011)  Data sharing associated with increased citation rate,
  2. 2.  NIH Data Sharing Policy,  NSF Data Sharing Policy,  Modes of data sharing o Share-upon-request o Self-archive (on personal websites) o Publish as supporting online materials in journals o Institutional archives or repositories  UC3 Merritt, o Public archives or repositories  Ask colleagues for recommendations or search  Resolve DOIs by visiting the URL with the DOI appended at the end  Generate DOIs and other permanent identifiers with EZID, o Request your free account at  Online services for sharing data among your team o UC Berkeley’s Research Hub, o 3rd party services, to-share-data-on.phpData management planning  A plan for organizing, storing, and sharing data  NSF data management plans o Requirements, o Examples,  NIH data sharing plans o Requirements, implementation guide, and examples,  Online service for building data plans with step-by-step instructions for meeting funding requirements o DMPTool,  Guidelines for Responsible Data Management in Scientific Research, ethics  Cite data that you use. Here are some citation styles:  Keep raw, original data, and log changes  When using external data sets, check for licenses and other restrictions  Keep current with changing data requirements