Recommended Repositories

Recommended Data Repositories for AllStats Authors

Why Share Your Data?

Sharing research data promotes transparency, enables verification of results, and allows reuse in future studies. AllStats requires data sharing for published articles unless prohibited by ethical, legal, or privacy concerns. Below are vetted, field-agnostic and domain-specific repositories recommended by the journal.

General-Purpose Repositories

Suitable for any statistical dataset; most offer free storage and assign persistent identifiers (DOIs).

Repository	Best For	Cost	DOI	Size Limit	Link
Zenodo	Any research data, code, supplements	Free	Yes	50 GB/dataset	https://zenodo.org
Figshare	Datasets, figures, media, posters	Free	Yes	5 GB/file, 20 GB private	https://figshare.com
Dryad	Curated data from published research	$120 submission fee*	Yes	300 GB/dataset	https://datadryad.org
Open Science Framework (OSF)	Projects with multiple files/stages	Free	Yes	5 GB/file, 50 GB/project	https://osf.io
Mendeley Data	Broad discipline coverage	Free	Yes	10 GB/dataset	https://data.mendeley.com

* Dryad’s fee may be waived for authors from low-income countries or through institutional memberships.

Domain-Specific Repositories

Choose these if your data fits a specialized field; they often provide enhanced metadata standards and community recognition.

Biomedical & Life Sciences

• NCBI Gene Expression Omnibus (GEO) – Gene expression, microarray, RNA-seq
  https://www.ncbi.nlm.nih.gov/geo/
• European Nucleotide Archive (ENA) – Sequencing data
  https://www.ebi.ac.uk/ena
• ClinicalTrials.gov – Clinical study results
  https://clinicaltrials.gov
• ImmPort – Immunology data
  https://www.immport.org

Social, Behavioral & Economic Sciences

• ICPSR (Inter-university Consortium for Political and Social Research) – Social science data
  https://www.icpsr.umich.edu
• UK Data Service – Social, economic, population data
  https://ukdataservice.ac.uk
• Harvard Dataverse – Social science dataverse collections
  https://dataverse.harvard.edu

Physical Sciences & Engineering

• PANGAEA – Earth & environmental science
  https://www.pangaea.de
• NASA Earthdata – Earth science data
  https://earthdata.nasa.gov
• Materials Cloud – Materials science, computational datasets
  https://www.materialscloud.org

Government & Public Data

• data.gov – U.S. government open data
  https://data.gov
• European Data Portal – EU open data
  https://data.europa.eu
• World Bank DataBank – Global development data
  https://databank.worldbank.org

Code & Software Repositories

For sharing statistical analysis scripts, software, and computational workflows.

Platform	Best For	DOI Integration	Link
GitHub	Code, version control, collaboration	Via Zenodo integration	https://github.com
GitLab	Code, CI/CD, private repositories	Via Zenodo integration	https://gitlab.com
Code Ocean	Executable code capsules, reproducible environments	Yes	https://codeocean.com
Swate	Workflow annotation tool for computational studies	Linked to data repositories	https://swate.nfdi4plants.org

Choosing a Repository: Quick Guide

1. Check funder/institution requirements – Some mandate specific repositories.
2. Consider your data type – Use domain-specific repositories if available.
3. Ensure persistent identifiers – Choose repositories that issue DOIs or permanent URLs.
4. Verify licensing options – Select licenses that allow reuse (CC0, CC BY recommended).
5. Plan for long-term access – Preferred repositories commit to preservation.

Data Preparation Checklist

Before uploading, ensure your dataset includes:

• README file explaining data structure, variables, and units
• Clean, de-identified data (no personal identifiers unless consented)
• Metadata (title, authors, description, keywords, funding source)
• Codebook for variables (names, descriptions, allowed values)
• License (CC0 or CC BY recommended for maximum reuse)
• Citation information (how others should cite your data)

How to Cite Shared Data in Your Manuscript

In your Data Availability Statement, include:

1. Repository name
2. Persistent identifier (DOI, accession number)
3. Direct URL to dataset
4. Citation in references list (if DOI provided)

Example:
The data supporting this study are available in the Zenodo repository at https://doi.org/10.5281/zenodo.1234567.

Need Help?

• General repository selection: https://re3data.org – A global registry of research data repositories.
• Data management planning: https://dmptool.org/ – DMPTool for creating data management plans.
• AllStats support: Contact [datahelp@allstatsjournal.com] for guidance on data sharing for your submission.

 

FAQs

Q: My data contains sensitive personal information. What should I do?
A: Use controlled-access repositories (e.g., dbGaP for genomic data) or share de-identified, aggregated data. Contact the ethics editor if unsure.

Q: Is there a fee for data sharing?
A: Most general repositories are free. Some (like Dryad) charge a small fee, often covered by institutions or funders.

Q: Can I use my institutional repository?
A: Yes, if it provides persistent identifiers and long-term preservation. Please provide the DOI or permanent link.

Q: What if my field doesn’t have a dedicated repository?
A: Use a general repository like Zenodo or Figshare; they accept data from any discipline.

 

This list was last updated on 18 December 2025.