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Data 101: An Introduction toResearch Data ManagementLisa FedererHealth and Life Sciences Librarianlmfederer@library.ucla.edu

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Today’s Session• General overview of research data management best practices• Data management across the research data life cycle• UC resources for data management• Your questions

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Why Data Management?• funders often require it• makes for easier transitions with lab staff turnover• helps better document research output• ensures usefulness of data over its entire life cycle• facilitates data sharing

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The Research Data Life Cycle Plan Preserve Collect Share Manage

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Plan The Data Management PlanNSF guidance: http://www.nsf.gov/bfa/dias/policy/dmpfaqs.jspNIH guidance: http://grants.nih.gov/grants/policy/data_sharing/data_sharing_faqs.htm

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Plan The Data Management Plan: Common Misconceptions • Does not require that all data must be shared ▫ Sensitive information/patient privacy ▫ Intellectual property rights and commercial value • Sharing can take many forms • Funders recognize that different disciplines have different “cultures” of data sharing • Sharing “at no more than incremental cost and within a reasonable time”11. National Science Foundation, Dissemination and Sharing of Research Results, www.nsf.gov/bfa/dias/policy/dmp.jsp

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Plan The Data Management Plan: Resources for Help• Your library!• DMP Tool: http://dmp.cdlib.org• DMP Online: http://www.dcc.ac.uk/dmponline

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Collect Best Practices for Data Collection • Use non-proprietary file formats ▫ Plain text/RTF vs. Microsoft .doc/.docx ▫ PDF/PNG vs. BMP/TIF • Consider future preservation and context, not just what is needed right now • Collect good metadataAdditional info on open formats: http://www.openformats.org

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Collect Manage Metadata: Data About Data • Types of metadata ▫ Descriptive metadata ▫ Technical metadata ▫ Administrative metadata ▫ Use metadata ▫ Preservation metadata • Many fields have existing metadata standards ▫ MIAME: microarray experiments ▫ Darwin Core: biology and biodiversityAdditional info: http://www.dcc.ac.uk/resources/briefing-papers/standards-watch-papers/what-are-metadata-standardsExample of metadata standards: http://sdl.syr.edu/?page_id=32

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Manage Improving Excel Data with Check for best practices

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Manage Improving Excel Data with Create metadata

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Manage Improving Excel Data with Get a unique identifier and citation

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Manage Improving Excel Data with • Two ways to use DataUp ▫ DataUp Excel add-in (Windows Excel 2007+ only) https://bitbucket.org/dataup/main/downloads/DataUpAddIn.zip ▫ DataUp web application http://www.dataup.org/

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Share Best Practices for Data Sharing • Different communities of practice have different cultures of sharing ▫ Institutional/subject repositories ▫ Person-to-person sharing of data ▫ Publication in data journals • Data sharing is associated with increased citations11. Piwowar HA, Day RS, Fridsma DB (2007) Sharing Detailed Research Data Is Associated with Increased Citation Rate.PLoS ONE 2(3): e308. doi:10.1371/journal.pone.0000308

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Share UC Tools for Sharing creates unique identifiers http://www.cdlib.org/services/uc3/ezid/ cost-effective repository for sharing and storage http://www.cdlib.org/services/uc3/merritt/

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Share Selecting Licenses for Re-Use Attribution (CC BY) Attribution-ShareAlike This license lets others distribute, (CC BY-SA) remix, tweak, and build upon your This license lets others remix, tweak, work, even commercially, as long and build upon your work even for as they credit you for the original commercial purposes, as long as they creation. credit you and license their new creations under the identical terms. Attribution- Attribution-NoDerivs NonCommercial (CC (CC BY-ND) BY-NC ) This license allows for redistribution, This license lets others remix, commercial and non-commercial, as tweak, and build upon your work long as it is passed along unchanged non-commercially, although their and in whole, with credit to you. new works must also acknowledge you and be non-commercial.For more info see http://creativecommons.org/licenses/

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Preserve Share Planning for Long Term Preservation • Especially important for unique and non- replicable datasets • Use institutional and subject specialized repositories to preserve data for the long-term • LOCKSS: Lots of Copies Keep Stuff Safe • Talk to the library about your data

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Preserve Share Locating Repositories • Institutional repositories at the UC ▫ Merritt https://merritt.cdlib.org/ ▫ eScholarship http://www.escholarship.org/uc/ucla • Finding subject specific repositories ▫ Databib http://databib.org/ ▫ Datacite repository list http://datacite.org/repolist ▫ Open Access Directory Data Repositories http://oad.simmons.edu/oadwiki/Data_repositories

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Getting Additional Help• UCLA Library Data Management Guide http://guides.library.ucla.edu/data-management• University of California Curation Center (UC3) http://www.cdlib.org/services/uc3/• Contact a librarian ▫ Data help: data@library.ucla.edu ▫ Copyright/licensing: http://www.library.ucla.edu/copyright-publishing-contact-us ▫ Biomedical Library help: biomed-ref@library.ucla.edu ▫ Science and Engineering Library help: sel-ref@library.ucla.edu

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Questions?Lisa FedererHealth and Life Sciences Librarianlmfederer@library.ucla.edu