200 · Representative Documents: Data Needs Assessment
UNIVERSITY OF VIRGINIA
Data Interview Protocol
http://dmconsult.library.virginia.edu/SciDaC/files/2013/04/Data-Interview-Protocol.docx
S c i e n t i f i c D a t a C o n s u l t i n g G r o u p (S c i D a C )/F e b r u a r y 2 0 1 2
Copyright (c) 2012 by UVa Library. This work is made available under the terms of the Creative Commons
Attribution-­‐ShareAlike 3.0 license, http://creativecommons.org/licenses/by-­‐sa/3.0/.
© 2012 by the Rector and Visitors of the University of Virginia
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Data Interview Protocol
This document is the step-­‐by-­‐step set of instructions for the actual interview. This is to serve as the
master copy, accompanied by a question template that is designed to be printed and used to ask
focused questions along with check boxes to account for all of the protocol issues. The template will
also allow for note taking during the interview.
Data Interview Constraints
Interview will consist of:
o Scientific Data Consultant Group members (two) and subject librarian (one)
o Researcher (one) being interviewed.
o Optionally, an additional technical expert invited by the researcher.
An interview will last no more than sixty minutes.
Interviews will be semi-­‐structured to allow free-­‐flowing discussion.
Information to be gathered includes:
o The state of current data management efforts.
o Types of digital data created.
o A prioritized needs assessment covering:
Current situation and future needs.
o Functional specifications for services to meet those needs.
Mission of the Data Interview
At the start of the interview, we will briefly review why we are doing these data interviews and why the
library is suited to do it.
Library goal of supporting researcher needs.
Library focus on data management.
Scientific Data Consultant Group Experience:
o Research Computing Lab, Dataset Task Force, Metadata Steering Group, Institutional
Repository Implementation Team
Purpose of the Data Interview Initiative:
o Identify common researcher data problems and needs.
o Identify communities and individuals who are under the most pressure from upcoming
grant regulations.
o Provide data management recommendations and training.
o Identify the types of digital “data” that are being created.
o Identify potential partnerships for IR data deposit implementation.
Remember there are no “right” answers! We want an honest assessment of your practices.
That includes your successes and your failures.
Mention IRB and give them a copy
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