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
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
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
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
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
The number of Basic Biomedical PhDs is skyrocketing, hence….
The growth rate in research funding from all sources has hone from over 6% to less than 1%
Stronger data sharing requirements are coming down the road, all the way from the whitehouse.
More is coming in response to this mandate.
One of the strongest, but no enforcement (yet)
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)
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
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