Data, Code, and Material Availability
1. Our Commitment to Open Science
At INSS Press, we believe that transparency is the heartbeat of great research. To ensure your work is reproducible and can be built upon by others, we ask our authors to follow the FAIR Data Principles (Findable, Accessible, Interoperable, and Reusable). By sharing the data, code, and materials behind your findings, you help strengthen the integrity of the global scientific community.
2. Data Availability Statement (DAS)
To keep things clear for readers and indexers, every manuscript must include a Data Availability Statement just before the References section. Please choose the option that best fits your research:
3. Where to Host Your Work
To make sure your data and code stay safe and accessible for years to come, please avoid hosting them on personal or university websites. Instead, we require the use of stable, recognized repositories:
- Data: We highly recommend platforms like Zenodo, Figshare, or Dryad.
- Code: If you’ve developed new software or scripts, please deposit them in GitHub (linked to Zenodo for a DOI) or the Open Science Framework (OSF).
- DOIs: Using a repository that provides a Digital Object Identifier (DOI) is essential—it ensures your data can be properly cited and tracked, giving you the credit you deserve.
4. Sharing Your Methodology
We want other researchers to be able to learn from and replicate your success.
- Detail is Key: Please ensure your "Materials and Methods" section provides enough depth for a peer to follow your steps.
- Resources: Clearly state where you sourced any specialized reagents, cell lines, or equipment.
- Step-by-Step: We love seeing detailed protocols! We encourage you to upload your step-by-step workflows to Protocols.io and link them directly in your paper.
5. Supporting the Peer Review Process
Quality is our priority. During the review process, our editors or reviewers may occasionally ask to see your raw data or code to better understand your conclusions. Please be prepared to provide this access; if we are unable to verify the underlying data when needed, we may unfortunately have to decline the manuscript.