Data Management for Mountain Observatories Workshop

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Keynote presentation for 2014 Mountain Observatories Workshop, 16 July 2014.
Abstract:
While methods for collecting data are well taught, there is less emphasis on managing the resulting data effectively. New mandates, announcements, memos, and requirements from agencies and publishers are emerging that encourage better data management, data sharing, and data preservation. Scientists with good management skills will be able to maximize the productivity of their own research, effectively and efficiently share their data with the community, and benefit from the re-use of their data by others. I will offer an overview of data management landscape - discussing recent events, resources, and new directions for data stewardship. I will also cover best practices for data management, which will facilitate data sharing and reuse, and introduce tools researchers can use to help in their data stewardship endeavours.

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Data Management for Mountain Observatories Workshop

  1. 1. Data Stewardship California Digital Library carlystrasser@gmail.com Mountain Observatories July 2014 Tips, Tools, & Why You Should Care Carly Strasser | @carlystrasser
  2. 2. FromFlickrvialibrarianinsta.tumblr.com I am not a librarian.
  3. 3. C.Strasser …but I do work at a library.
  4. 4. Enable data sharing Encourage new incentives Think about code sharing Work with libraries, publishers and researchers Explore new tools to help change system Build tools
  5. 5. Why are you here? Because data is more important than ever.
  6. 6. Digital data FromFlickrbyFlickmor FromFlickrbyUSArmyEnvironmentalCommand FromFlickrbyDW0825 C. Strasser CourteseyofWHOI FromFlickrbydeltaMike
  7. 7. Digital data + Complex workflows
  8. 8. From Flickr by ~Minnea~ Reproducibility Data management Documentation
  9. 9. From Flickr by johntrainor Who cares?
  10. 10. Better reproducibility.
  11. 11. More credibility. Better reproducibility.
  12. 12. More credibility. Better reproducibility. Increased collaboration & reuse.
  13. 13. Faster progress. More credibility. Better reproducibility. Increased collaboration & reuse.
  14. 14. Faster progress. More credibility. Better reproducibility. Future scientists can use the data. Increased collaboration & reuse.
  15. 15. From Flickr by Redden-McAllister From Flickr by Ken Cowell From Flickr Brandi Jordan
  16. 16. Faster progress. More credibility. Better reproducibility. Future scientists can use the data. Increased collaboration & reuse. You have to.
  17. 17. Funders From Flickr by Eva Rinaldi Celebrity and Live Music Photographer
  18. 18. … “Federal agencies investing in research and development (more than $100 million in annual expenditures) must have clear and coordinated policies for increasing public access to research products.” Feb 2013
  19. 19. Funders Journals From Flickr by Eva Rinaldi Celebrity and Live Music Photographer
  20. 20. data management FromFlickrbyBigSwedeGuy Best Practices Plan
  21. 21. A document that describes what you will do with your data throughout the research project From Flickr by Barbies Land What is a data management plan?
  22. 22. Basic DMPs From Flickr by Artful Magpie 1.  Types of data 2.  Data & metadata standards 3.  Policies 4.  Plans for preservation 5.  Budget
  23. 23. When do you plan? Yes.
  24. 24. Plan Collect Assure Describe Preserve Discover Integrate Analyze Proposal writing Research Publication Ideas When do you plan?
  25. 25. data management FromFlickrbyBigSwedeGuy Best Practices Plan Be open
  26. 26. science source notebook content access data government knowledge FromFlickrbycdsessums
  27. 27. Open Science: Making data research dissemination available to all From Flickr by Julia Manzerova
  28. 28. make  data  as  useful  as  possible   From Flickr by Hallvard E Make your data as useful as possible
  29. 29. “I want to be co-author” “Let me know what you will do with it first” custom data use agreements is best are bad Standard, machine-readable licenses/waivers is okay
  30. 30. data management FromFlickrbyBigSwedeGuy Best Practices Plan Be open Recognize
  31. 31. Include data in your CV.
  32. 32. Include data in your CV. Publish your data.
  33. 33. Include data in your CV. Publish your data. Cite data. Example: Sidlauskas, B. 2007. Data from: Testing for unequal rates of morphological diversification in the absence of a detailed phylogeny: a case study from characiform fishes. Dryad Digital Repository. doi:10.5061/dryad.20
  34. 34. Tools FromFlickrbymhlradio to plan for sharing
  35. 35. databib.org Where should I put my data? Find a repository
  36. 36. Step-by-step wizard for generating DMP create | edit | re-use | share Free & open to community Use the dmptool.org
  37. 37. Tools FromFlickrbymhlradio to get credit
  38. 38. www.orcid.org Adopted by Funders | Publishers |Repositories | Tools Claim your work
  39. 39. Altmetrics Metrics for alt-products Get credit for EVERYTHING Downloads Tweets Mentions Views Data Code Slides Blogs
  40. 40. Altmetrics Metrics for alt-products Get credit for EVERYTHING
  41. 41. Tools FromFlickrbymhlradio to document your work
  42. 42. Learn new skills software carpentry www.software-carpentry.org
  43. 43. E-notebooks, Online science
  44. 44. From Flickr by dotpolka
  45. 45. From wikimedia.org by Natebailey Everett Rogers Technology Adoption Lifecycle model
  46. 46. From wikimedia.org by Natebailey Everett Rogers Technology Adoption Lifecycle model Research is changing. When will you adapt?
  47. 47. FromFlickrbycompujeramey! Website Email Twitter Slides carlystrasser.net carlystrasser@gmail.com @carlystrasser slideshare.net/carlystrasser

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