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DTSTAMP:20260624T171344Z
LOCATION:Bldg. 8 - B 102
DTSTART;TZID=Europe/Stockholm:20260629T170000
DTEND;TZID=Europe/Stockholm:20260629T173000
UID:submissions.pasc-conference.org_PASC26_sess144_msa227@linklings.com
SUMMARY:The Making of a Community Dark Matter Dataset with the National Sc
 ience Data Fabric
DESCRIPTION:Michela Taufer (University of Tennessee)\n\nDark matter direct
  detection experiments worldwide generate rich, high-value datasets, yet t
 hese remain largely inaccessible to the broader community due to proprieta
 ry formats, non-reproducible software stacks, and high barriers to entry f
 or new collaborators. This talk describes how the National Science Data Fa
 bric (NSDF) partnered with dark matter researchers to transform a calibrat
 ion dataset collected with Cryogenic Dark Matter Search (CDMS)-style detec
 tors at the University of Minnesota into a fully open, reusable community 
 resource.\n\nWe address three concrete challenges: converting proprietary 
 experimental data into open, multi-resolution formats using open-source to
 ols; lowering the learning curve through an interactive web-based dashboar
 d for signal visualization; and enabling scalable machine learning workflo
 ws via a Python-compatible command-line interface. Together, these contrib
 utions demonstrate how shared data infrastructure and open tooling can bro
 aden participation, accelerate cross-collaboration, and support reproducib
 le science. This work illustrates a replicable model for building communit
 y datasets in experimental physics — one that aligns with FAIR principles 
 and the broader vision of federated, inclusive data ecosystems for trustwo
 rthy data-driven discovery.\n\nDomain: Physics, Computational Methods and 
 Applied Mathematics\n\nSession Chairs: Michela Taufer (University of Tenne
 ssee), Amy Roberts (University of Colorado Denver), and Belina von Krosigk
  (Kirchhoff-Institute for Physics (KIP))\n\n
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