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DMPTool Webinar 6: Health Sciences and the DMPTool (presented by Lisa Federer)

  1. Logistics for Webinar You Must Call In ForAudio: 866-740-1260 access code 9870179# Participants muted Ask questions in chat any time 20 minutes for Q&A Recording & slides, schedule of webinars: blog.dmptool.org/webinar-series DMPToolWebinar Series 6: Health Sciences & the DMPTool Sponsored by IMLS 16 July 2013
  2. Health Sciences and the DMPTool #dmptwebinar FromFlickr–Username:phalinn Lisa Federer | @lisafederer University of California-LosAngeles, Louise M. Darling Biomedical Library DMPToolWebinar Series 6: Health Sciences & the DMPTool Sponsored by IMLS 16 July 2013
  3. 28 May Introduction to the DMPTool 4 June Learning about data management: Resources, tools, materials 18 June Customizing the DMPTool for your institution 25 June Environmental Scan:Who's important at your campus 9 July Promoting institutional services; EZID Outreach Made Simple! 16 July Health Sciences & DMPTool - Lisa Federer, UCLA 23 July Digital humanities and the DMPTool - Miriam Posner, UCLA 13 Aug Data curation profiles and the DMPTool – Jake Carlson, Purdue How to give the data management sales pitch to various audiences Other tools and resources that work with/complement the DMPTool Beyond funder requirements: more extensive DMPs Case studies 1 – How librarians have successfully used the tool Case studies 2 – How librarians have successfully used the tool Outreach Kit Introduction Certification program introduction blog.dmptool.org/webinar-series
  4. Road Map Goals of thisWebinar NIH policy overview What to include in a plan Special considerations DMPTool and NIH Plans Resources & more info From Flickr– Username: Bastian
  5. Webinar Goals • Introduce requirements relevant to health sciences researchers • Provide an overview of info to include in plans • Demonstrate how to use the DMPTool to support NIH • Point to resources for further help From Flickr– Username: AG Gilmore
  6. Road Map Goals of thisWebinar NIH policy overview What to include in a plan Special considerations DMPTool and NIH Plans Resources & more info From Flickr– Username: Bastian
  7. NIH Sharing Policies • NIH Data Sharing Policy • NIH Grants Policy Statement (2.3.11.2.3 Access to Research Data) • For full list of NIH policies, see http://grants.nih.gov/gr ants/sharing.htm
  8. Data Sharing Policy - Applicability • applicants seeking >$500,000 in annual direct costs • applications submitted after October 1, 2003 • final research data for research purposes • all types of research data (clinical/basic science), especially unique data From Flickr– Username: bengrey
  9. Data Sharing Policy - Applicability • applicants seeking >$500,000 in annual direct costs • applications submitted after October 1, 2003 • final research data for research purposes • all types of research data (clinical/basic science), especially unique data From Flickr– Username: bengrey
  10. Data Sharing Policy - Applicability • applicants seeking >$500,000 in annual direct costs • applications submitted after October 1, 2003 • final research data for research purposes • all types of research data (clinical/basic science), especially unique data From Flickr– Username: bengrey
  11. Data Sharing Policy - Applicability • applicants seeking >$500,000 in annual direct costs • applications submitted after October 1, 2003 • final research data for research purposes • all types of research data (clinical/basic science), especially unique data From Flickr– Username: bengrey
  12. Components of the NIH Application • Data Sharing Plan (or explanation of why data sharing is not possible) • Budget/Budget Justification • Background and Significance Section • Human Subjects Section From Flickr– Username: Raphael Moser
  13. Components of the NIH Application • Data Sharing Plan (or explanation of why data sharing is not possible) • Budget/Budget Justification • Background and Significance Section • Human Subjects Section From Flickr– Username: Raphael Moser
  14. Road Map Goals of thisWebinar NIH policy overview What to include in a plan Special considerations DMPTool and NIH Plans Resources & more info From Flickr– Username: Bastian
  15. NIH Guidance
  16. Data Sharing Plan • schedule for sharing • data formats • documentation and/or analytic tools provided with datasets • data-sharing agreement • mode of data sharing From Wikimedia Commons – German Federal Archives
  17. Data Sharing Plan • schedule for sharing • data formats • documentation and/or analytic tools provided with datasets • data-sharing agreement • mode of data sharing From Wikimedia Commons – German Federal Archives
  18. Data Sharing Plan • schedule for sharing • data formats • documentation and/or analytic tools provided with datasets • data-sharing agreement • mode of data sharing From Wikimedia Commons – German Federal Archives
  19. Data Sharing Plan • schedule for sharing • data formats • documentation and/or analytic tools provided with datasets • data-sharing agreement • mode of data sharing From Wikimedia Commons – German Federal Archives
  20. Data Sharing Plan • schedule for sharing • data formats • documentation and/or analytic tools provided with datasets • data-sharing agreement • mode of data sharing From Wikimedia Commons – German Federal Archives
  21. Schedule for Sharing • “timely fashion” • release no later than acceptance for publication of main findings • for epidemiological or longitudinal studies, release data in “waves” as available From Flickr– Username: Kate Tomlinson
  22. Schedule for Sharing • “timely fashion” • release no later than acceptance for publication of main findings • for epidemiological or longitudinal studies, release data in “waves” as available From Flickr– Username: Kate Tomlinson
  23. Schedule for Sharing • “timely fashion” • release no later than acceptance for publication of main findings • for epidemiological or longitudinal studies, release data in “waves” as available From Flickr– Username: Kate Tomlinson
  24. Data Formats • proprietary vs. open formats • consider formats required by archives • rationale for why this format was selected
  25. Data Formats • proprietary vs. open formats • consider formats required by archives • rationale for why this format was selected
  26. Data Formats • proprietary vs. open formats • consider formats required by archives • rationale for why this format was selected
  27. Data Documentation metadata schemas FromFlickr–Username:Sarah0s codebook ImagefromCDC FromFlickr–Username:deltaMike analytic tools
  28. Data-sharingAgreements • outline requirements for ensuring privacy and confidentiality • stipulate provisions for how shared data may be used • may include penalties for violating agreement From Wikimedia– Username: Lucas
  29. Data-sharingAgreements • outline requirements for ensuring privacy and confidentiality • stipulate provisions for how shared data may be used • may include penalties for violating agreement From Wikimedia– Username: Lucas
  30. Data-sharingAgreements • outline requirements for ensuring privacy and confidentiality • stipulate provisions for how shared data may be used • may include penalties for violating agreement From Wikimedia– Username: Lucas
  31. Modes for Data SharingFromFlickr–Username:ichibod FromWikimedia–Username:Dake under the auspices of the PI in a data archive FromFlickr–Username:NovartisAG in a data enclave FromFlickr–Username:loop_oh
  32. Budget and Budget Justification • include request for funds for sharing/archiving • PIs may need assistance on estimating costs for data preparation and archiving From Flickr– Username: 401(K) 2013
  33. Budget and Budget Justification • include request for funds for sharing/archiving • PIs may need assistance on estimating costs for data preparation and archiving From Flickr– Username: 401(K) 2013
  34. Road Map Goals of thisWebinar NIH policy overview What to include in a plan Special considerations DMPTool and NIH Plans Resources & more info From Flickr– Username: Bastian
  35. Privacy of Human Subjects • strip identifiers from data • indirect identifiers and “deductive disclosure” • restricted data enclaves • data-sharing agreements From Wikimedia Commons– National Cancer Institute
  36. Privacy of Human Subjects • strip identifiers from data • indirect identifiers and “deductive disclosure” • restricted data enclaves • data-sharing agreements From Wikimedia Commons– National Cancer Institute
  37. Privacy of Human Subjects • strip identifiers from data • indirect identifiers and “deductive disclosure” • restricted data enclaves • data-sharing agreements From Wikimedia Commons– National Cancer Institute
  38. Privacy of Human Subjects • strip identifiers from data • indirect identifiers and “deductive disclosure” • restricted data enclaves • data-sharing agreements From Wikimedia Commons– National Cancer Institute
  39. Withholding Proprietary Data • Small Business Innovation Research (SBIR) grantees = up to 4 years • Private sector co- funding = 30-60 days From Flickr– Username: m thierry
  40. Withholding Proprietary Data • Small Business Innovation Research (SBIR) grantees = up to 4 years • Private sector co- funding = 30-60 days From Flickr– Username: m thierry
  41. Road Map Goals of thisWebinar NIH policy overview What to include in a plan Special considerations DMPTool and NIH Plans Resources & more info From Flickr– Username: Bastian
  42. Creating a plan with the DMPTool
  43. Road Map Goals of thisWebinar NIH policy overview What to include in a plan Special considerations DMPTool and NIH Plans Resources & more info From Flickr– Username: Bastian
  44. Resources • NIH Data Sharing Overview: http://grants.nih.gov/grants/policy/data_sharing/ • NIH Data Sharing Policy and Implementation Guidance: http://grants.nih.gov/grants/policy/data_sharing/data_shari ng_guidance.htm • Full list of NIH sharing policies by Institute: http://www.nlm.nih.gov/NIHbmic/nih_data_sharing_policies .html • Example data sharing agreements from NCI: https://wiki.nci.nih.gov/display/DSIC/Data+Sharing+Agreem ents • Sample plan from NIH (Word doc): http://grants.nih.gov/grants/sharing_example_data_sharing _plan.doc
  45. blog.dmptool.org/ webinar-series From Flickr by Jeff Keacher Next week: Digital Humanities & the DMPTool Presenter: Miriam Posner, UCLA Tuesday 23 July @ 10am PT
  46. blog.dmptool.org/webinar-series/
  47. 28 May Introduction to the DMPTool 4 June Learning about data management: Resources, tools, materials 18 June Customizing the DMPTool for your institution 25 June Environmental Scan:Who's important at your campus 9 July Promoting institutional services; EZID Outreach Made Simple! 16 July Health Sciences & DMPTool - Lisa Federer, UCLA 23 July Digital humanities and the DMPTool - Miriam Posner, UCLA 13 Aug Data curation profiles and the DMPTool – Jake Carlson, Purdue How to give the data management sales pitch to various audiences Other tools and resources that work with/complement the DMPTool Beyond funder requirements: more extensive DMPs Case studies 1 – How librarians have successfully used the tool Case studies 2 – How librarians have successfully used the tool Outreach Kit Introduction Certification program introduction blog.dmptool.org/webinar-series
  48. Email Twitter Website lmfederer@library.ucla.edu @lisafederer http://www.lisafederer.net Questions?

Editor's Notes

  1. Change Title, webinar #, and date in green text at top
  2. http://www.flickr.com/photos/bastian/104582811/
  3. http://www.flickr.com/photos/ag_gilmore/8170021483
  4. http://www.flickr.com/photos/bastian/104582811/
  5. http://commons.wikimedia.org/wiki/File:NIH_logo.svg
  6. http://www.flickr.com/photos/ben_grey/4582294721/“Final research data are recorded factual material commonly accepted in the scientific community as necessary to document, support, and validate research findings. This does not mean summary statistics or tables; rather, it means the data on which summary statistics and tables are based. For most studies, final research data will be a computerized dataset.”
  7. http://www.flickr.com/photos/ben_grey/4582294721/“Final research data are recorded factual material commonly accepted in the scientific community as necessary to document, support, and validate research findings. This does not mean summary statistics or tables; rather, it means the data on which summary statistics and tables are based. For most studies, final research data will be a computerized dataset.”
  8. http://www.flickr.com/photos/ben_grey/4582294721/“Final research data are recorded factual material commonly accepted in the scientific community as necessary to document, support, and validate research findings. This does not mean summary statistics or tables; rather, it means the data on which summary statistics and tables are based. For most studies, final research data will be a computerized dataset.”
  9. http://www.flickr.com/photos/ben_grey/4582294721/“Final research data are recorded factual material commonly accepted in the scientific community as necessary to document, support, and validate research findings. This does not mean summary statistics or tables; rather, it means the data on which summary statistics and tables are based. For most studies, final research data will be a computerized dataset.”
  10. http://www.flickr.com/photos/32995512@N06/3712959011
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  36. Bold, highlight, or change color of the webinar you are presentingput this at the beginning of your presentation
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