Table 1.
Distribution count and response rate for the data curation network’s “data curation service survey”.
Fig 1.
Did you expect [repository name] staff to curate your dataset "[title of dataset]"?.
Yes/No.
Fig 2.
I was satisfied with the curatorial review my data received.
Strongly or somewhat agree; neither agree nor disagree; and strongly or somewhat disagree (zero respondents selected). Graph is displayed based on institutional responses.
Fig 3.
Were any changes made to the data submissions due to the curatorial review?.
Yes, no, and unsure. The graph is displayed based on institutional responses.
Fig 4.
What changes were made due to the curatorial review?.
Essential changes (e.g., an error was corrected); major changes (e.g., files updated/added), minimal changes (e.g., small edits/additions); and unsure. Within-institution results are shown.
Fig 5.
Due to the curation process, the participants felt more confident sharing their data?.
Strongly or somewhat agree; neither agree nor disagree; and strongly or somewhat disagree (zero respondents selected). The graph is displayed based on institutional responses.
Fig 6.
Data curation by the repository adds value to the data sharing process?.
Strongly or somewhat agree; neither agree nor disagree; and strongly or somewhat disagree (zero respondents selected). The graph is displayed based on institutional responses.
Fig 7.
What is the most "value-add" curation action taken by this repository?.
(n = 179) Free text responses coded for curation actions; some responses mentioned more than one curation action.
Fig 8.
What is the most "value-add" curation action taken by this repository?.
(n = 179) Free text responses coded for outcomes of curation; responses may mention more than one outcome.
Fig 9.
The impact that data curation has on the data sharing process is worth the effort?.
Strongly or somewhat agree; neither agree nor disagree; and strongly or somewhat disagree (zero respondents selected). Graph is displayed based on institutional responses.