Permanent Link: http://ufdc.ufl.edu/IR00002799/00001
 Material Information
Title: Supporting the local research data environment via cross-campus collaboration and leveraging of national expertise
Physical Description: Conference Papers
Creator: Norton, Hannah F.
Garcia-Milian, Rolando
Tennant, Michele R.
Botero, Cecilia E.
Publisher: Medical Library Association Annual Conference, 2013
Place of Publication: Boston, MA
Publication Date: May 6, 2013
Acquisition: Collected for University of Florida's Institutional Repository by the UFIR Self-Submittal tool. Submitted by Hannah Norton.
Publication Status: Unpublished
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Source Institution: University of Florida Institutional Repository
Holding Location: University of Florida
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This item is licensed with the Creative Commons Attribution License. This license lets others distribute, remix, tweak, and build upon this work, even commercially, as long as they credit the author for the original creation.
System ID: IR00002799:00001

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Supporting the local research data environment via cross campus collaboration and leveraging of national expertiseHannah F. Norton, Rolando Garcia Milian, Michele R. Tennant*, Cecilia Botero Health Science Center Libraries* and UF Genetics InstituteUniversity of FloridaImage credit: Modified from Eric Fischer, http://www.flickr.com/ photos/walk ingsf/ 5266043943/


Background• Growing interest in research data and how to provide support– Partnership with Research Computing/ High Performance Computing Center (HPCC) – Involvement in ARL E Science Institute• Pilot project asked about Clinical and Translation Science Institute (CTSI) researchers’ information needs, including those related to data and e science


Pilot Project Results 15.6% 37.8% 31.1% 62.2% 40.0% 51.1% 53.3% 44.4% 0%10%20%30%40%50%60%70% Other Other external expertise (e.g. statistician, informatician) Data management service to outsource some of the work to Computing expertise or software Computing capacity for analysis Data/digital management system for organizing data Storage capacity Training on data management Percentage of RespondentsWhat resources outside of your department do you need to best manage and analyze your data? n=45


Interview theme: Learning data management• Larger labs with many graduate students have trouble with consistency of data organization and documentation –best practices training would help. • Data management is either learned from PIs or individually. • In today’s rapidly changing fields, it is important to be able to learn new methods for data management and analysis as quickly as possible.


Interview theme: Storage and long term preservation• Most participants use college or department level network servers for storage. This is convenient, but can be difficult to access from off campus. • Print lab notebooks are still used in many disciplines. Despite interest in migrating to electronic documentation, print lab notebooks were cited as – the gold standard for documenting ethical conduct of research, – easier to use when doing gloved research, – and less expensive than electronic options.• Retention of data is difficult when it must be constantly migrated to new systems. • Those working with biological samples indicated that their retention is more important than electronic data (samples cannot be exactly duplicated if lost).


Interview theme: Data sharing and collaboration• Most participants are not sharing data, other than with their immediate collaborators. Exceptions are those who deposit genetic data into national databases. • Large collaborative projects can have trouble with re integrating data from multiple investigators on multiple side projects. • It can be difficult to find and use existing data that should be compared or related to the researcher’s data. • Research is increasingly collaborative, and it is important for researchers to learn about resources and potential collaborators across the institution.


Interview theme: Overall concerns and observations• For those working with particularly sensitive data (e.g. from high containment labs or the Veterans Affairs hospital), it is important to balance necessary security measures with processes that enable researchers to actually work with the data. • Resource rich labs with dedicated data people have fewer problems. • Institution level policies or guidelines on data management would be helpful. • Even those who have few data management challenges now are planning to work on more complex research in the future with bigger, more varied data sets.


Learning from national experts• Faculty Enhancement Opportunity (mini sabbatical) allowed library director and two other librarians to visit three top tier health science libraries to observe strategies, programs, and services that could be applied at UF. • Also provided funding to bring experts in topics of interest to UF to provide training and lead strategic brainstorming sessions.


Learning from national expertsEach visit focused on a particular strength of that library, but other areas were addressed.Library space and renovation E science and data curation support CTSA and bioinformatics support


Learning from national experts• 3 day visit from:– Joan Starr, EZID Service Manager, California Digital Library – Carly Strasser, Data Curation Specialist, California Digital Library – Sherry Lake, Data Specialist, University of Virginia Libraries• Presentations on data trends, open data, data tools, and next steps for librarians


Outcome: Presentations across campus• Research Computing Day • Open Access Week


Outcome: Best Practices in Data Management


Outcome: Data Management/Curation Task ForceMembership: • 2 health science librarians • 2 science librarians • GIS librarian • 3 humanities/social science librarians • Director of Research Computing • Representative of Office of Research Projects: • Dataverse • Focus groups • DMP Tool • Survey • Workshops


Conclusion• Research data management is an area ripe for library involvement and leadership. • At our institution, local training on the best practices in data management and development of a library wide task force on data management have proven fruitful first steps in providing concrete guidance to our users in this area.


AcknowledgementsThank you to collaborators at UF, including faculty and staff from: • Clinical Translational Science Institute • High Performance Computing Center • Digital Library Center This project has been funded in part with federal funds from the National Library of Medicine, National Institutes of Health, under Contract # HHS N 276 2011 00004 C. This presentation is available for re use under a creative commons attribution license.