All researchers with NIH funding are invited to use figshare.com to make all the products of their research publicly available, reusable, and citable when a discipline-specific repository is unavailable. Figshare.com is free for researchers to use and provides free, open access for others to view and download your research. Any type of data can be shared and many file types can be previewed in the browser. Also, many other products of your research beyond data can also be shared including code and software, multimedia files, figures, protocols, workflows, posters, presentations, and papers. Sharing all of the results and components of your research can make it more transparent, reproducible, reusable, and impactful and planning how to share your work in a trusted repository like Figshare from the beginning of a project can help you comply with funder policies, including NIH policies, for data management and sharing as well as journal policies for data availability.
Here we outline how to share NIH-funded biomedical research on figshare.com, including some best practices to make your work as discoverable and reusable as possible.
If you have any questions or would like the help of a Figshare data expert with any part of the data sharing process, please get in touch with our Figshare support team at firstname.lastname@example.org.
- Items and Collections - Group your research products as you would want them to be cited. If you have a research project with multiple data files or outputs, you can choose to create multiple items with just 1 or 2 files each or you can create a single item with many files. How you choose to group these should depend on how similar the items are, if they are the same type, and if you wish to apply the same licenses. You can also create a Collection to group together any public items published across Figshare portals - a collection offers a way to point to all of the outputs associated with a specific paper, project, grant, or research group with a single DOI and citation.
- Sharing large or complex data -
- If you have a larger dataset with single files larger than 20GB or an entire dataset that’s larger than 20GB, please reach out to email@example.com and we’ll modify your account’s storage limit to allow for larger files.
- For complex hierarchical data you may wish to upload zipped or compressed files to preserve the file structure. The file names within these, but not the files themselves, will be previewable and it’s recommended to group data into files of less than 10GB to facilitate downloading.
- You can also use the Figshare API to upload and download data and metadata.
- You can link a GitHub repository to publish releases to Figshare. See all Figshare integrations.
- Data sharing considerations and best practices - see our Guide to Best practices for managing your outputs on Figshare for important considerations including:
- Ethical considerations - consent to share, human subjects data, and personally identifiable information (PII). Note that only fully deidentified data without PII should be shared on Figshare.
- Copyright - Do you have the right to distribute this work? How should the work be licensed for future reuse?
- Make your data FAIR (Findable, Accessible, Interoperable, Reusable)
- Opt for open and preservable file formats that can be used without proprietary software when possible, even if it requires posting the same data in multiple formats.
- Use a consistent and descriptive file naming convention.
- Include documentation that would be needed to understand and reuse the data as a file together with the dataset such as a README text file, a code book, or a data dictionary.
- Include descriptive metadata to enhance the discoverability of the work and provide context to the research study.
- Include discipline or method specific metadata and adhere to data standards for your research community when possible.
- Select an appropriate license for reuse paying particular attention to which licenses are best suited to different output types such as data, code, or written text.
- Title - Include a meaningful title for your items as you would for any other research work such as a paper or presentation so that the title provides context about the research question and method. If the data supports a specific publication you might wish to include the paper title in the item title as well.
- Description - In the “description” metadata field for each item be sure to include a description of the specific research items shared as well as description of the research methods used and the research study as a whole. This is important if someone discovers the research independent of any other description. This is similar to the caption you might write for a figure and the abstract you would provide for a paper.
- Related publications - link to related publications and edit your item to add publications if they are published later. Include a full citation in the description field of related publications and include DOI link(s) to related work in the references field. Similarly, be sure to include citations with DOIs to any items in Figshare in the associated papers. You can reserve the DOI for any Figshare item in advance of publishing it or you can publish the item with an embargo on the files if you wish to keep the files private until a paper is published. You can also use the reference field to link to other related resources such as: research materials shared in Figshare or another repository, a project or lab website, a GitHub repository, or a ClinicalTrials.gov registration or other study registration.
- Funding - In the funding field, list all supporting funding with each funding source or grant entered separately. You can search for these by grant title or number. For NIH funding, enter the activity code (e.g. R01), the institute code (e.g. EY), and the grant 6 digit serial number - this will pull from the Dimensions grant database and should show you the title of the grant in a dropdown, which you can click to add. You can also add NIH contract numbers (e.g. beginning with HHSN) and NIH intramural project IDs (commonly found in the database with "Z01" as activity code, followed by IC code and 6 digit project serial number) in the funding field to specify other forms of NIH funding. Funding from other agencies such as NSF or private funders should also be included here. Funding information can be added as free text in these fields for any support not found via the search function.
- You can edit your published research items at any time to update the files or description and DOIs will be versioned to reflect substantial changes.
Other data sharing resources:
We encourage you to seek out data sharing guidance that is specific to your supporting NIH Institute or Center or your field of research as well as to seek support from your institution that may be available from the library or office of research.