Dears,
I would like to collaborate with applied mathematics colleagues on an interesting anomaly detection problem stemming from our work with LSST data. These researchers are not from Chile or the US, and are not on the International In-Kind Data Rights Holders list.
We have successfully collaborated on similar projects in the past, applying statistical algorithms to astrophysics datasets. Our previous work resulted in two publications: one led by our (astrophysics) group for an astrophysics journal, and one led by their group for a statistics journal. We would like to do the same for LSST.
After reviewing the Rubin Data Policy (Section 8.1), I understand that publishing a paper led by our data-rights-holding group, with our colleagues as co-authors and using LSST-DP1 data for scientific applications, should be permissible.
My question concerns the second work: a paper led by the non-data-rights-holding collaborators, focusing on an algorithm, and targeted at a statistics/CS/mathematics audience. For an algorithm developed for solving a challenge with LSST data products, validation would ideally require reporting performance metrics computed on LSST data (accessed through mediation by our research group).
- Would this type of publication be acceptable under the existing data policy?
- Should the collaborators avoid touching LSST data at all in such a paper, or are there specific guidelines for acknowledgment and attribution?
The exact data products we are addressing are DiaSources, where many of the entries are unconfirmed or noise, so I’m not sure how the “1000 objects” sample would apply.
I appreciate any guidance you can provide.
Thank you!