Element 1: Maximum Appropriate Data Sharing
Question
Will there be maximum appropriate sharing of scientific data underlying peer-reviewed publications and other findings resulting from the work supported by this award (including preprints, refereed papers reported at conferences, and other findings)?
Guidance for Response
A response of "Yes" is expected, unless there is a justifiable reason to limit data sharing from the project (which can be explained as a response to Element 4). A "Yes" response indicates that the investigator will share as much of their data as can safely be shared to either NIH- sponsored, discipline-specific, institutional, or generalist repositories by the end of the project period.
Zenodo note: Sometimes, data will be shared to more than one type of repository within a single project. For example, studies with heterogeneous datasets, such as those investigating neurological conditions, may include highly specialized brain imaging files for which NIH-sponsored and discipline-specific repositories should be used, and accompanying quantitative and qualitative .csv and other types of files, for which a generalist repository can be used (as long as these files are fully anonymized).
In these situations, Zenodo is an ideal option for the accompanying .csv files. Through Zenodo's Related Works fields, DOIs and other types of links can be added from the related records in discipline-specific repositories, thus creating persistent linkages between digital deposits related to a single study.