poster rdap13: data information literacy multiple paths to a single goal
DESCRIPTION
Jake Carlson, Jon Jeffryes, Brian Westra and Sarah Wright Data Information Literacy: Multiple Paths to a Single Goal Research Data Access & Preservation Summit 2013 Baltimore, MD April 4, 2013 #rdap13TRANSCRIPT
Purdue UniversityPurdue e-Pubs
Libraries Faculty and Staff Presentations Purdue Libraries
1-1-2013
Data Information Literacy: Multiple Paths to aSingle GoalJake CarlsonPurdue University, [email protected]
Sarah WrightCornell University, [email protected]
Brian WestraUniversity of Oregon, [email protected]
Jon JeffryesUniversity of Minnesota - Twin Cities, [email protected]
Follow this and additional works at: http://docs.lib.purdue.edu/lib_fspresPart of the Library and Information Science Commons
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Recommended CitationCarlson, Jake; Wright, Sarah; Westra, Brian; and Jeffryes, Jon, "Data Information Literacy: Multiple Paths to a Single Goal" (2013).Libraries Faculty and Staff Presentations. Paper 12.http://docs.lib.purdue.edu/lib_fspres/12
Mini-‐Course Readings & Seminar
Objec&ve What skills will graduate students need to be successful in managing, working with and cura=ng their research data? This poster reports on ini=al results from a two-‐year project funded by the Ins=tute of Museum and Library Services (IMLS) that is centered on exploring this ques=on.
Methods The project is comprised of five teams (each made up of a data services librarian, a subject or informa=on literacy specialist and a faculty researcher) from four ins=tu=ons. Each team conducted environment scans of the discipline and conducted interviews of their faculty partner and his graduate students. Using this knowledge each team developed an educa=onal program tailored to their specific discipline and local prac=ces.
Findings
Data Informa&on Literacy: Mul&ple Paths to a Single Goal Jake Carlson, Purdue University; Jon Jeffryes, University of Minnesota; Brian Westra, University of Oregon; Sarah Wright, Cornell University
Discipline Natural
Resources Civil Engineering
Ecology
Electrical & Computer Engineering
Ag & Bio
Engineering
Iden=fied Needs
Data Sharing
Databases
Metadata
Data Ownership
Long-‐term Access
Cultures of Prac=ce
Metadata
Closing Out a Grant
Document-‐ a=on &
Organiza=on
Transfer of Responsibilty
Data Sharing Protocols
Metadata
Response
Outcomes
Faculty Engagement
Applica=on of Best Prac=ces
Completed DMP Improved Data
Prac=ces
Awareness of Tools, Resources,
and Best Prac=ces
Raised Awareness
Resources for Evalua=ng
Student Work
Refine Exis=ng SOPs on Data Checklist for
Enforcing SOPs
Cornell University
University of Minnesota
University of Oregon
Purdue University #1
Purdue University #2
Online Course Embedded Librarianship Workshops
• All 12 competencies were seen as important by faculty and graduate students.
• Lack of formal training in data management
• Lack of formal policies in the research team
• Self-‐directed learning through trial and error • Focus on data mechanics and local, immediate needs over
deeper concepts or applica=on outside of the lab.
Note: Due to the small size and use of convenience sampling these findings cannot be generalized beyond this project.
Project Personnel: Jake Carlson (PI), Camille Andrews, Marianne Stowell Bracke, Michael Fosmire, Jon Jeffryes, Lisa Johnston, Megan Sapp Nelson, Dean Walton, Brian Westra, Sarah Wright.
Data Informa=on Literacy Model Image Credits: Photos: “School of Fish” by Tom Weilenmann: h_p://www.flickr.com/photos/tom_weilenmann/51673288/; “Roosevelt Dam Bridge” by Al_HikesAZ: h_p://www.flickr.com/photos/alanenglish/466658759/; “Sunshine Sparkling on the Prairie Grass” by Carol VanHook: /librariesrock/3613075606/; “Code Obfusca=on -‐ Part 2: Obfusca=ng Data Structures” by Sonia Gupta: h_p://palizine.plynt.com/issues/2005Sep/code-‐obfusca=on-‐con=nued/; “SEPACisco” from the Water Quality Field Sta=on: h_p://www.agry.purdue.edu/water/fieldstn/photogallery/SEPACisco.jpg. Graphics: “User Experience” stencils by Todd Zazelenchuk & Elizabeth Boling: h_p://www.userfocus.co.uk/resources/omnigraffle.html
hKp://datainfolit.org