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Proposal data management plans are typically 1 to 2 pages and should not be confused with the entire project DMP you will refer to and update throughout your project. Proposal DMPs are summaries of your plan and not exhaustive explanations. You can add and manage your whole plan in your research or lab notebook. |
Boilerplate language
There is no one-size-fits-all to your proposal's DMP, and the exact language you use will be specific to your project needs, sharing and use restrictions and other elements. Below is some suggested text that can be adopted and integrated into your plan's sharing and preservation components.
Repository information
Datasets will be released to the public as soon as possible upon completing the data gathering and analysis in Arizona State University's Research Data Repository powered by the Harvard Dataverse platform. The institutional repository allows ASU-affiliated, interdisciplinary researchers to share, store, preserve, cite, explore, and make research data accessible and discoverable. Upon publication, the ASU Library assigns each dataset a Digital Object Identifier (DOI) to provide a persistent and citable reference point registered through Datacite. We will systematically copy the dataset files and their respective structure and provide metadata describing the software coding information so that others may understand and use the files. We will also work with ASU research data managers and library research data curators to organize and describe our data so that it is findable, accessible, interoperable, and reusable.
Licensing
We will assign a CC0 - "Public Domain Dedication" license for Datasets to facilitate the reuse of the files, and the platform will provide a suggested citation.
See the FAQ on determining the best license for your dataset.
If there is human subject information:
We will strip human subject datasets of identifying sensitive information before publication.
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