34 · Survey Results: Survey Questions and Responses
If yes, please indicate whether the components below are included in the online resource and how
they were developed. Check all that apply. N=47
Component Linked to Developed
our own
Customized another’s
for own use
Not
included
N
Explanation of DMP requirements
by different funding agencies and/or
NSF directorates
34 24 11 0 47
Guidelines for creating DMPs 32 24 14 0 47
Template examples of DMPs 29 18 12 5 46
A tool or resource for DMP creation 36 9 11 1 43
Other component(s) 2 9 1 0 11
Total Responses 42 33 21 5 47
If you selected Other component(s), please briefly describe the component(s). N=11
A data planning checklist.
Boilerplate text to include to use our data repository (not a full template).
Copyright considerations, data citation guidelines, metadata examples, examples data sets on campus, subject
repositories for data (list), data archiving guidelines, file naming best practices, data storage options on campus, related
campus services, recorded workshops,
Data registry for collecting information on data developed at the university.
FAQs for data management, depositing data in digital repository, list of data repository options, copyright information,
educational materials.
Information about digital repository services.
Information on long-term management and preservation of research data. Tools for managing metadata for research
data.
List of services and resources available on campus for supporting research data management slidedecks of workshop
on basics of data management planning.
Local listserv for data management questions and data management plan reviews (moderated by the library), contact
information, DMP examples and example language.
Our section on development of a data management plan also links to university resources that can assist the researcher
for each main section included in a plan.
Workshops offered in person and streamed online, and recorded for future use on issues of concern such as what the
NSF requirement was and would mean for researchers a variety of solutions for managing data and how to write plans
that would include those solutions dealing with sensitive data (including GIS data) dealing with the many regulations
for sensitive data and more. Brief, online, stand-alone tutorials to help any researcher better understand what data
management, DMPs and some foundation basics of data management like file naming conventions.
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