Open Science

Data Sharing 

The Pulse community is committed to the FAIR Principles that research data must be Findable, Accessible, Interoperable, and Reusable. We encourage the use of data repositories that are optimized for sharing, discovery, and that implement persistent identifier best practices.

Data Citation

We will be generating new data, but will also be using data already made publicly available by others. We will follow best practices to cite data correctly (in the References section of articles, using DOIs) as an important step in recognizing the importance of data in the research enterprise and in acknowledging the contribution of those who generously share their data. In this way, we are joining the Make Data Count movement.

Rapid Sharing of Science

We believe that there is an urgency to what we are doing in the Pulse Initiative. To reflect that urgency, we have a desire to release our findings openly and rapidly, in ways that are responsible and appropriate given the nature of the content. This can include the sharing of preprints.

Data Exploration Tools

Working with large research datasets in cloud environments can be prohibitively expensive, and these costs can discourage exploration and engagement within and beyond the scientific community. This is why one of our goals in the Pulse Initiative is to select key datasets related to the work of the Pulse Community and make them available for exploration by anyone. While we anticipate that computational workflows will likely have to incur charges, our hope is that free access to explore datasets that we create, acquire, and/or curate will inspire curiosity and motivate others to use and build on what we make available. Our platform will provide baseline compute, interactive notebooks, and 10 GB free data storage to anyone at any institution, as well as to citizen scientists, and researchers without an institutional affiliation.