There are more than 1,000 repositories where scientists can deposit data and documents associated with their manuscripts. The majority of these are subject-specific—there are ones specialized for chemical and molecular structures (Crystallography Open Database, Protein Data Bank, Coherent X-ray Imaging Data Bank), neuroimaging data (OpenNeuro, NeuroVault), and mathematical models (BioModels, The Network Data Exchange), just to name a few. Several publishers recommend that authors submit their material to such subject-specific repositories whenever possible.
Subject-specific repositories provide a few advantages, according to Grace Baynes, the vice president of research data and new product development at Springer Nature: they’re designed with the specific research community that’s using those data in mind, and putting data into a repository that your peers use may optimize your chances of connecting with a future collaborator. But such repositories still...
Here’s a brief guide to some of the most commonly used general-purpose repositories.
|Type of files accepted
|DOI assignment available
|$120 US per data package (all data associated with one publication)
|5 GB per file for free accounts, but files up to 5 TB in size possible
|Free for individuals, paid accounts for institutions
|2 GB per file (multiple uploads possible)
|Free up to 1 TB
|Open Science Framework (Center for Open Science)
|No restrictions listed
|5 GB per file (larger files can be stored as add-ons from other providers)
|Mendeley Data (Elsevier)
|10 GB per dataset
|50 GB per dataset (larger files allowed on a case-by-case basis)
Diana Kwon is a Berlin-based freelance journalist. Follow her on Twitter @DianaMKwon.