A data management plan is a formal document that outlines how you will handle your data both during your research, and after the project is completed. The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; this ensures that data are well-managed in the present, and prepared for preservation in the future.
Many funding agencies, including the National Science Foundation (NSF), the National Institutes of Health (NIH), and the National Endowment for the Humanities (NEH), require a data management plan (DMP) as a component of grant applications. This requirement encourages researchers to consider in greater detail how their data will be preserved and shared.
Depending on the particular research community, data can include spreadsheets, images, videos, audio files, text files, models, computer software and code, patient records, interview transcripts, survey results, field/lab notes, and physical objects such as artifacts and samples.
A great resource for getting this done is the DMP tool. However, here at figshare we can help you get this done with the following template that details where figshare can fit in to the essential sections of the submission:
\"Data Management Plan - A template\"
Describe the research outputs that the study will generate. This can be figures, videos, datasets, posters, filesets, code, papers or presentations.
The products of this grant will be stored privately in the cloud on figshare until the time for publication is appropriate. At this stage the outputs will be made publicly available in a discoverable, citable and sharable manner with one click.
All publicly stored research outputs generated using this grant will be stored under Creative Commons Licenses. All objects will be licensed under CC-BY license, except for datasets, for which the CC0 licence is more appropriate. By licensing our research outputs under CC-BY, figshare will ensure that the research is openly available, but requires that others should give you credit, in the form of a citation, should they use or refer to the research object.
This license lets others build upon the work funded by this grant. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.
figshare and the CLOCKSS Archive have partnered to preserve figshare's publically available content in CLOCKSS's geographically and geopolitically distributed network of redundant archive nodes, located at 12 major research libraries around the world. This action provides for content to be freely available to everyone after a \"trigger event\" and ensures an author's work will be maximally accessible and useful over time.
figshare is hosted using Amazon Web Services to ensure the highest level of security and stability for research data. Amazon S3 stores multiple, redundant copies of the research outputs. AWS utilizes an end-to-end approach to secure and harden infrastructure, including physical, operational, and software measures. Amazon S3 provides authentication mechanisms to ensure that data is kept secure from unauthorised access. The security and persistence of the files on figshare makes it easy to prevent plagiarism of research data, as all uploads are time-stamped.
By documenting the research outputs according to DataCite\u2019s metadata schema, the data will be easily filterable and manageable. When made public the associated metadata is disseminated through DataCite at the California Digital Library helping:
\r\n\u2022 establish easier access to research data\r\n\u2022 increase acceptance of research data as legitimate contributions in the scholarly record\r\n\u2022 support data archiving to permit results to be verified and re-purposed for future study.\r\n
figshare offers unlimited storage space for data that is made publicly available on the platform. Users of the site maintain full control over the management of their research whilst benefiting from global access, version control and secure backups in the cloud.
All research outputs made publicly available through figshare will have a DOI to make the outputs citable and all metrics on the impact of the research will be openly available both on the site and through the open API.
As always, feedback, comments, suggestions and ideas are welcomed. If you represent a publisher and would like to hear more about our offerings for publishers, please get in touch at firstname.lastname@example.org or via twitter, facebook or google+.