Data repositories are tools for sharing and preserving research data. There are hundreds of repositories worldwide. Some cater to a specific research community, while others are general-purpose. Repositories may be called data centers, data archives, or scientific databases.
They are often divided into three categories:
Institutional Repositories (IRs) are affiliated with a researcher’s institution. Texas A&M University Libraries offer the Texas Data Repository.
Domain-specific or Disciplinary Repositories (DRs) are discipline-specific and often operated by a professional organization, a consortium of researchers, or a similar group.
General-purpose or Open Repositories (ORs) allow researchers to deposit and make their data available regardless of disciplinary or institutional affiliation.
Disciplinary data repositories are set up to accommodate the data needs of a specific research community. They are the most likely to offer both the specialist domain knowledge and the data management expertise needed to ensure data are properly kept and used.
They may provide the ideal solution to meet data archiving and public access expectations of funding agencies, publishers, and the researcher community. However, they are also the most likely to be selective, requiring advance planning to meet standards for metadata and documentation.
Since there are many data repositories, it is important to review terms and conditions before use.
1. Is the repository reputable and who supports it?
It may be listed in re3data, FAIRSharing, or broadly recognized by the research community. Better yet, it is endorsed by a journal, funder, or professional society.
2. Will it take data you want to deposit and how are data deposited?
Data may need to be of a particular type and file format. Some repositories allow self-deposit while others mediate deposit.
3. Will the repository be safe in legal terms?
4. Will the repository sustain the data value?
A repository can add value by making data findable, accessible, interoperable and reusable (FAIR) for the long term. This includes assigning persistent identifies (like DOIs) to datasets, requiring standard metadata for discoverability, and conducting file preservation activities.
5. Will it support analysis and track data usage?
Repositories may also provide citation information to users and usage tracking for the depositor.
From: Whyte, A. (2015). ‘Where to keep research data:DCC checklist for evaluating data repositories’ v.1 Edinburgh: Digital Curation Centre. Available online: www.dcc.ac.uk/resources/how-guides
Registry of Research Data Repositories
FAIRSharing is a curated catalog of databases, along with associated standards and policies. It also includes standards and databases recommended by journal or funder data policies.
Scientific Data Recommended Repositories
A list of disciplinary and open repositories evaluated to ensure that they meet the data access, preservation and stability requirements of Nature's Scientific Data journal.
NIH Data Repositories
National Institutes of Health-supported data repositories that make data accessible for reuse. Most accept submissions of appropriate data from NIH-funded investigators (and others), but some restrict data submission to only those researchers involved in a specific research network.
The Texas Data Repository (TDR) is the Texas A&M University institutional data repository, made available to researchers by the University Libraries. It is a flexible online platform for researchers to publish and archive datasets and data products.
The TDR is available to individual researchers at Texas A&M University, as well as labs and groups, seeking to meet data sharing and preservation requirements from funding agencies and publishers, or seeking to publish collections of archived data.