Va sla nov 15 final

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Talk given to Virginia SLA on November 15, 2013

Talk given to Virginia SLA on November 15, 2013

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  • 1. Getting Started with Data in Your Library Margaret Henderson Director, Research Data Management VCU Libraries
  • 2. Research Data means recorded information, regardless of form or the media in which it may be recorded, which constitute the original observations and methods of a study and the analyses of these original data that are necessary for reconstruction and evaluation of the Report(s) of a study made by one or more Investigators. Research Data also includes all such recorded information gathered in anticipation of a Report. Research Data differ among disciplines. The term may include but is not limited to technical information, computer software, laboratory and other notebooks, printouts, worksheets, other media, survey, memoranda, evaluations, notes, databases, clinical case history records, study protocols, statistics, findings, conclusions, samples, physical collections, other supporting materials created or gathered in the course of the Research, Tangible Research Property, unique Research resources such as synthetic compounds, organisms, cell lines, viruses, cell products, cloned DNA as well as genetic sequences and mapping information, crystallographic coordinates, plants, animals and spectroscopic data, and other compilations formed by selecting and assembling preexisting materials in a unique way.
  • 3. Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it…”— Dan Ariely https://www.facebook.com/dan.ariely http://danariely.com/
  • 4. “If it gives you pain, it is Big Data.” - Donald Brown, new Director of Virginia Integrative Data Institute, speaking at Research Data and Technology Fair presented by Claude Moore Health Sciences Library, University of Virginia Health System
  • 5. Lots of Small Data = Big Data Heidorn, P. Bryan. (2008) Shedding Light on the Dark Data in the Long Tail of Science. Library Trends, 57(2), pp.280-299.
  • 6. http://www.jisc.ac.uk/whatwedo/campaigns/res3/jischelp.aspx
  • 7. Data in the Research Life Cycle From Data Management Consulting Group, UVA Library.
  • 8. http://www.dcc.ac.uk/
  • 9. Libraries and Data Library and information professionals: • need to become more involved with semantic web or users will reinvent wheel (i.e. ontologies) • have the interpersonal and subject specialization for reference/consultation that IT doesn't have • continue to help users find the information they need. Stuart, David.(2011) Facilitating Access to the Web of Data: a Guide for Librarians. Facet Publishing.
  • 10. What Can You Do to Help? • • • • • • Learn about data. Learn about data in your organization. Find the gaps. Help people figure out what they need. Help people find what they need. What other skills do you have? Analysis? Visualization? Programming? Etc.
  • 11. Learn About Data • • • • DataONE http://www.dataone.org/best-practices MANTRA http://datalib.edina.ac.uk/mantra/ RDMRose http://rdmrose.group.shef.ac.uk/ UK Data Archive http://www.data-archive.ac.uk/home http://www.data-archive.ac.uk/media/2894/managingsharing.pdf • Kdnuggets http://www.kdnuggets.com/
  • 12. Who Else is Involved? Scholarly Communication Collection Analysis and Investment Education/ Instruction Preservation and Inventory Management Research Data Services Digital Technologies Liaisons at TML and Cabell Metadata and Discovery Analysis and infographics (various depts.) VCU Schools, Institutes and Centers Technology Services Office of Research Research Data Services Faculty and Researchers Center for Clinical and Translationa l Research
  • 13. Gaps http://en.wikipedia.org/wiki/File:SWOT_en.svg
  • 14. What are Your Organizational Needs? Reuse of Data for Research and Education Education of New Researchers Data Management Data Storage Data Curation Open Access Data Needs Links to Articles – Data DOI Lab Notebooks Author ID – Disambiguati on, i.e. ORCID, etc. Impact Story – Citation of Data
  • 15. Outside Pressures • Regulatory requirements • Grant and funding requirements • Journal requirements http://retractionwatch.wordpress.com/ • Patent/ Intellectual Property documentation • Need to keep market share • etc.
  • 16. Data Interviews • Purdue Data Curation Profile http://datacurationprofiles.org/ • Data Management Plan https://dmp.cdlib.org/ or Simplified DMP http://library.umassmed.edu/data_management_frameworks.pdf (pg 21) to go over basics • Research and work flow story
  • 17. Keep Learning More • • • • MOOCs Library school classes and programs Statistics and analysis http://www.gapminder.org/ Twitter (#data or follow a particular group, person, or meeting) • Listservs • Journals • Conferences http://www.slideshare.net/AbigailGoben/keeping-up-with-data
  • 18. And More • Blogs – Kevin the Librarian http://kevinthelibrarian.wordpress.com/ – Strata (O’Reilly) http://strata.oreilly.com/ - Flowing Data http://flowingdata.com/ http://flowingdata.com/2013/10/14/pizza -place-geography/
  • 19. Data Re-Use • Databib http://databib.org/ • OpenDOAR (Directory of Open Access Repositories) http://www.opendoar.org/ • DATA.gov http://www.data.gov/ • ICPSR (Inter-University Consortium for Political and Social Research) subscription http://www.icpsr.umich.edu/
  • 20. http://www.dataone.org/ http://figshare.com/ http://datadryad.org/
  • 21. Find a Niche • Disciplinary Metadata http://www.dcc.ac.uk/resources/metadata-standards • “Data Analysis” (Coursera) videos http://blog.revolutionanalytics.com/2013/04/coursera-dataanalysis-course-videos.html • Research Data Management: Principles, Practices, and Prospects (DataRes project, library response to data) http://www.clir.org/pubs/reports/pub160/pub160.pdf
  • 22. Assessment • Keep track of what you do. • Keep track of what is done with the information you find. • Altmetrics http://impactstory.org/ • Data citation “Out of Cite, Out of Mind” http://dx.doi.org/10.2481/dsj.OSOM13-043
  • 23. Thank you. @mehlibrarian http://wp.vcu.edu/mehenderson/ http://www.slideshare.net/MargaretHenderson
  • 24. Data Snafu in 3 Acts • http://youtu.be/66oNv_DJuPc • If there is time I will show this, if not, it is here for you to watch and use.