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CU Anschutz HSL Data Services
C. Tobin Magle, Biomedical Sciences Research Support Specialist
http://www.slideshare.net/CTobinMagle/cu-anschutz-health-science-library-data-services
Questions
• Why should I care
about data
management?
• What do libraries
have to do with it?
• What does the HSL
provide?
Why should I care about data management?
Rinehart, AK. “Getting emotional about data” College & Research Libraries News September 2015 vol. 76 no. 8 437-440
More researchers
https://nexus.od.nih.gov/all/2012/06/27/what-weve-learned-about-graduate-students/
More data than ever before
See arXiv:1402.4578 for details
17% data is lost per year post publication
doi:10.1016/j.cub.2013.11.014
The majority of research data aren’t curated
doi:10.1353/lib.0.0036
<22% NIH grants require a
Data Sharing Plan
We are losing vast amounts of data
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
11
1
1
1
1
1
1
1
0
0
0
0
0
0
0
00
0
00 0
1
1
1 1
1
0
Research funding is tight
From: The Anatomy of Medical Research: US and International Comparisons
JAMA. 2015;313(2):174-189. doi:10.1001/jama.2014.15939
NIH
Pharma
Med. Device Companies
Biotech
State/local
Private funds
Other Fed.
Funders want to do more with less
Hence, data sharing
http://figshare.com/blog/2015_The_year_of_open_data_mandates/143
Whitehouse’s 2013 OSTP
“The Obama Administration is committed to the
proposition that citizens deserve easy access to the
results of research their tax dollars have paid for.
That’s why, in a policy memorandum released today,
OSTP Director John Holdren has directed Federal
agencies with more than $100M in R&D expenditures
to develop plans to make the results of federally
funded research freely available to the public—
generally within one year of publication.”
http://www.whitehouse.gov/blog/2013/02/22/expanding-public-access-results-federally-
funded-research
NSF post-award requirements
“Investigators are expected to share with other
researchers, at no more than incremental cost
and within a reasonable time, the primary data,
samples, physical collections and other
supporting materials created or gathered in the
course of work under NSF grants. Grantees are
expected to encourage and facilitate such
sharing.”
http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/aag_6.jsp#VID4
NIH is preparing to release a similar policy
Research Lifecycle: new complications
Form
Hypothesis
Collect
Data
Design
Experiment
Previous
research
Clean
Data
Analyze
DataWrite
manuscript
Share
findings
1. Increased capability to share
2. Funder mandates to share data
3. Huge, complex datasets
4. Protected information
Complications
Research Lifecycle Support
Form
Hypothesis
Collect
Data
Design
Experiment
Previous
research
Clean
Data
Analyze
DataWrite
manuscript
Share
findings
Metadata
Data Management Plans
Working
data storage
Version
control
Requires
expertise
and
infrastructureRepositories/
Privacy
Software/
Computation/Reproducability
Searching/
Unique
identifiers
How are libraries getting involved?
• We don’t make the rules
• We want to provide guidance
• Research data management services
• NLM Administrative Supplements
Libraries are changing:
Strength: organizing and finding information
• Old role: Finding and cataloging books
• New role: Finding and cataloging electronic resources
• Informationist’s role: Finding datasets for data
repurposing and helping researchers curate their own
Services
• Consultations
• Classes
• Topics
• Data Management plans
• Research Reproducibility
• Metadata
• Repositories
See http://hslibrary.ucdenver.edu/research/data-management
for more information
Librarians are receiving grant funding
Informationist Funding
NLM Administrative Supplements for Informationist Services
Purposes:
(1) To enhance collaborative, multi-disciplinary basic and clinical
research by integrating an information specialist into the
research team in order to improve the capture, storage,
organization, management, integration, presentation and
dissemination of biomedical research data
(2) To assess and document the value and impact of the
informationist’s participation.
http://www.nlm.nih.gov/ep/AdminSupp.html
Project background
Dr. Kechris’s R01 proposal generated miRNA expression data from
LXS recombinant inbred mouse panel as a resource for the
research community.
Planned to share data in PhenoGen database
NLM Informationist Awards
Aims:
1. Make data and code publicly available with
appropriate metadata
2. Create tutorials to facilitate data reuse
3. Assess efficacy of Aims 1 + 2
Aim 1: Make data/code/metadata public
• Deposit raw miRNA data public repositories
• NCBI (SRA/GEO/BioProject/BioSample)
• PhenoGen (new functionality to support NGS data)
• Standardize and apply metadata
• Make analysis workflows (R code) available in GitHub
• Repository entry to link all materials from this project
• Including tutorials from Aim 2
Aim 2: Facilitate data reuse with tutorials
Variety of formats:
• Video Tutorials: Adobe Captivate
• Written tutorials: Blog
• https://hslnews.wordpress.com/category/bioinformatics
-bites/
• Guide on the Side:
• http://hslibrarytraining.ucdenver.edu
Aim 3: Assess efficacy of Aims 1 and 2
• Monitor data usage
• Citation
• Downloads (Google Analytics)
• Surveys and assessments about tutorials
• Are the tutorials helping others use the data?
HSL Research Support Services
http://hslibrary.ucdenver.edu/research/
Need help? AskUS!
http://hslibrary.ucdenver.libanswers.com/index.php
Tobin.magle@ucdenver.edu
Phone: 303-724-2114
Twitter: @tobinmagle
http://orcid.org/0000-0003-
3185-7034
Contact Information
http://www.slideshare.net/CTobinMagle/cu-anschutz-health-science-library-data-services

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CU Anschutz Health Science Library Data Services

  • 1. CU Anschutz HSL Data Services C. Tobin Magle, Biomedical Sciences Research Support Specialist http://www.slideshare.net/CTobinMagle/cu-anschutz-health-science-library-data-services
  • 2. Questions • Why should I care about data management? • What do libraries have to do with it? • What does the HSL provide?
  • 3. Why should I care about data management? Rinehart, AK. “Getting emotional about data” College & Research Libraries News September 2015 vol. 76 no. 8 437-440
  • 5. More data than ever before See arXiv:1402.4578 for details
  • 6. 17% data is lost per year post publication doi:10.1016/j.cub.2013.11.014
  • 7. The majority of research data aren’t curated doi:10.1353/lib.0.0036 <22% NIH grants require a Data Sharing Plan
  • 8. We are losing vast amounts of data 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 11 1 1 1 1 1 1 1 0 0 0 0 0 0 0 00 0 00 0 1 1 1 1 1 0
  • 9. Research funding is tight From: The Anatomy of Medical Research: US and International Comparisons JAMA. 2015;313(2):174-189. doi:10.1001/jama.2014.15939 NIH Pharma Med. Device Companies Biotech State/local Private funds Other Fed.
  • 10. Funders want to do more with less Hence, data sharing http://figshare.com/blog/2015_The_year_of_open_data_mandates/143
  • 11. Whitehouse’s 2013 OSTP “The Obama Administration is committed to the proposition that citizens deserve easy access to the results of research their tax dollars have paid for. That’s why, in a policy memorandum released today, OSTP Director John Holdren has directed Federal agencies with more than $100M in R&D expenditures to develop plans to make the results of federally funded research freely available to the public— generally within one year of publication.” http://www.whitehouse.gov/blog/2013/02/22/expanding-public-access-results-federally- funded-research
  • 12. NSF post-award requirements “Investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF grants. Grantees are expected to encourage and facilitate such sharing.” http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/aag_6.jsp#VID4 NIH is preparing to release a similar policy
  • 13. Research Lifecycle: new complications Form Hypothesis Collect Data Design Experiment Previous research Clean Data Analyze DataWrite manuscript Share findings 1. Increased capability to share 2. Funder mandates to share data 3. Huge, complex datasets 4. Protected information Complications
  • 14. Research Lifecycle Support Form Hypothesis Collect Data Design Experiment Previous research Clean Data Analyze DataWrite manuscript Share findings Metadata Data Management Plans Working data storage Version control Requires expertise and infrastructureRepositories/ Privacy Software/ Computation/Reproducability Searching/ Unique identifiers
  • 15. How are libraries getting involved? • We don’t make the rules • We want to provide guidance • Research data management services • NLM Administrative Supplements
  • 16. Libraries are changing: Strength: organizing and finding information • Old role: Finding and cataloging books • New role: Finding and cataloging electronic resources • Informationist’s role: Finding datasets for data repurposing and helping researchers curate their own
  • 17. Services • Consultations • Classes • Topics • Data Management plans • Research Reproducibility • Metadata • Repositories See http://hslibrary.ucdenver.edu/research/data-management for more information
  • 18. Librarians are receiving grant funding
  • 19. Informationist Funding NLM Administrative Supplements for Informationist Services Purposes: (1) To enhance collaborative, multi-disciplinary basic and clinical research by integrating an information specialist into the research team in order to improve the capture, storage, organization, management, integration, presentation and dissemination of biomedical research data (2) To assess and document the value and impact of the informationist’s participation. http://www.nlm.nih.gov/ep/AdminSupp.html
  • 20. Project background Dr. Kechris’s R01 proposal generated miRNA expression data from LXS recombinant inbred mouse panel as a resource for the research community. Planned to share data in PhenoGen database
  • 21. NLM Informationist Awards Aims: 1. Make data and code publicly available with appropriate metadata 2. Create tutorials to facilitate data reuse 3. Assess efficacy of Aims 1 + 2
  • 22. Aim 1: Make data/code/metadata public • Deposit raw miRNA data public repositories • NCBI (SRA/GEO/BioProject/BioSample) • PhenoGen (new functionality to support NGS data) • Standardize and apply metadata • Make analysis workflows (R code) available in GitHub • Repository entry to link all materials from this project • Including tutorials from Aim 2
  • 23. Aim 2: Facilitate data reuse with tutorials Variety of formats: • Video Tutorials: Adobe Captivate • Written tutorials: Blog • https://hslnews.wordpress.com/category/bioinformatics -bites/ • Guide on the Side: • http://hslibrarytraining.ucdenver.edu
  • 24. Aim 3: Assess efficacy of Aims 1 and 2 • Monitor data usage • Citation • Downloads (Google Analytics) • Surveys and assessments about tutorials • Are the tutorials helping others use the data?
  • 25. HSL Research Support Services http://hslibrary.ucdenver.edu/research/ Need help? AskUS! http://hslibrary.ucdenver.libanswers.com/index.php Tobin.magle@ucdenver.edu Phone: 303-724-2114 Twitter: @tobinmagle http://orcid.org/0000-0003- 3185-7034 Contact Information http://www.slideshare.net/CTobinMagle/cu-anschutz-health-science-library-data-services

Notas del editor

  1. You already care deeply about your data It’s your IP But… There are external pressures that make thinking about how to preserve research data more pressing
  2. The number of Basic Biomedical PhDs is skyrocketing, hence….
  3. The growth rate in research funding from all sources has hone from over 6% to less than 1%
  4. Stronger data sharing requirements are coming down the road, all the way from the whitehouse. More is coming in response to this mandate.
  5. One of the strongest, but no enforcement (yet)
  6. These services span the research data lifecycle Plan what you’re going to do with your data before you generate it Curate and manage during collection Temporary storage Prepare for long term storage Sharing optional (for now)
  7. These services span the research data lifecycle Plan what you’re going to do with your data before you generate it Curate and manage during collection Temporary storage Prepare for long term storage Sharing optional (for now) Expertise and infrastructure
  8. Informationists are information specialists, usually health sciences librarians, who have graduate training and practical experience that provides them with disciplinary background in biomedical, behavioral or biological sciences and in library and information sciences/informatics. Their cross training provides informationists with a unique perspective on the acquisition, synthesis, management and use of data in research. Informationists work as team members with research scientists and health professionals, and are sometimes called in-context or ‘embedded’ information specialists. - See more at: http://grants.nih.gov/grants/guide/pa-files/PA-15-249.html#sthash.VImhL4Z6.dpuf