Presentation by Lisa Federer (UCLA) on 16 July 2013 as part of the IMLS-sponsored DMPTool Webinar Series.
Description: This webinar will discuss the special needs of health sciences researchers and help you learn how to talk to researchers in the health and medical fields about their data management needs. We will cover NIH Data Sharing Policy and how to write a data management plan that meets NIH’s requirements. After viewing this webinar, participants will understand: who is required to submit a plan; specific information that should be included in a plan; how to use the DMPTool to write an NIH-specific DMP; and where to find additional resources for help.
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
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
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
47. 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
48. 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
51. 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
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.”
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.”
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.”
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.”