A specification for organizing datasets in the social & behavioral sciences
Psych-DS

About

Data sharing is important, but it can be hard to know how to do it well. When every scientist makes their own decisions about how to structure and share data, it can be challenging and time-consuming to understand each others' datasets - or even our own work, six months from now!


Psych-DS is a community data standard and technical specification that provides a systematic approach to organizing scientific datasets. It is designed so you can make as few changes as possible to how you work with your datasets right now, in order to make it possible for you to share data exactly as you want to in the future. Psych-DS provides tools for building and validating datasets, and works to create a consensus format that unlocks machine-readable data sharing for the social and behavioral sciences.

Get Started

Get Involved

This is an ongoing project, and we are actively looking for contributors! We are interested in working with you if you care about making it easier for scientists to work with their data, whether or not you have specific coding skills. The current maintainers of Psych-DS are Melissa Kline Struhl (Project Lead) and Brian Leonard (Software Engineer).


Join the mailing list to get involved with building tools and helping people adopt Psych-DS, OR if you would like to hear from us when we officially launch the specification.

For Developers

Acknowledgements

Psych-DS has been supported by the following generous funders