Create citable datasets
Create citable datasets or data collections promotes FAIRness (i.e. data that is Findable, Accessible, Interoperable, and Reusable), which is one of the overarching goals of NIH. ATLAS-D2K provides a mechanism to support citable data collection especially for your up-coming/recent publications. Here is the instruction.
1. Create a citable collection in the ATLAS-D2K site
- Create a collection by following the submitting collection instruction. Please fill in as much information as you can as some of the attributes as used to issue a DOI ID. As part of the form, set “Required DOI?” to true.
- Add all the relevant data involved in your experiment methods or figures in the collection.
- Edit your collection. Fill in the “Details” section with the content that you want to emphasize to your readers. A common practice is to list images/specimens involved in the figures, so the users can directly get to the high-resolution images or relevant data.
- We plan to automate the DOI issuance process, however, this feature is not in the repository yet. In the meantime, inform us about your collection, and we will manually issue a DOI for your collection.
2. Create a citation of your dataset in the manuscript
Follow the dataset citation convention described here. In most cases, it should look like the following:
 Chad V. The GUDMAP Consortium. https://doi.org/10.25548/W-QXXC (2018)
3. Reference your data collection in your manuscript
The dataset citations can be referenced the same was as any other journals or publications in your papers. For example:
Our dataset  shows that …
In the methods section, add text that looks something like this:
Data Dissemination. To increase rigor, reproducibility, and transparency, raw image files and other data generated as part of this study were deposited into the GUDMAP data repository (https://www.atlas-d2k.org) and are fully accessible at https://doi.org/10.25548/W-QXXC (25).