52 Survey Results: Survey Questions and Responses
or data regulated by law (e.g., HIPAA, FERPA) and taking actions to reject or facilitate remediation
(e.g., de-identification services) when necessary.
Selection: The result of a successful appraisal. The data are determined appropriate for acceptance
and ingest into the repository according to local collection policy and practice.
37. Please indicate the importance of these data curation appraisal activities on a scale of 1 to 5 where
1=essential; 2=very important; 3=moderately important; 4=less important; 5=not important. N=24
Activity 1 2 3 4 5 Rating Average
Rights Management 14 8 1 1 0 1.54
Risk Management 10 7 3 2 1 2.00
Selection 4 10 5 4 1 2.50
# of respondents 18 20 8 6 1
Note: A lower average rating indicates a more important activity.
Comments N=6
Although risk management and selection are important, this is currently not within our scope for
thinking about data curation services. We recommend faculty go with more secure, discipline-
specific repositories for sharing data with confidentiality issues. It is likely we would need substantial
infrastructure (human and technology) to support more advanced activities. For selection, it would
be wonderful to have both the staff and the infrastructure to appraise datasets, but it would also be
beneficial to be able to have a back-and-forth with faculty to get faculty to an appropriate level. Our
relationships with faculty are key!
Due to constrained resources, we are considering non-mediated deposit.
Risk management and selection are critical, but not for libraries to do.
There are some risks to the selection process but didn’t seem as essential as the first two activities.
Doing the first two activities reduces some of the risk for selection.
We feel like risk management and selection are essential, but we do not think that they are necessarily
the responsibility of the data curation service.
We struggle with selection as a criteria. If we have the capacity to take data from one of our researchers,
we will take it, unless there is another more appropriate repository for those data.
Here are descriptions of eight data curation processing and review activities.
Arrangement and Description: The re-organization of files (e.g., new folder directory structure) in
a dataset that may also involve the creation of new file names, file descriptions, and the recording of
technical metadata inherent to the files (e.g., date last modified).
Code Review: Run and validate computer code (e.g., look for missing files and/or errors) in order to
find mistakes overlooked in the initial development phase, improving the overall quality of software.
Contextualize: Use metadata to link the data set to related publications, dissertations, and/or projects
that provide added context to how the data were generated and why.
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