TY - JOUR
T1 - Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric
AU - Taufer, Michela
AU - Martinez, Heberth
AU - Luettgau, Jakob
AU - Whitnah, Lauren
AU - Scorzelli, Giorgio
AU - Newell, Pania
AU - Panta, Aashish
AU - Bremer, Peer Timo
AU - Fils, Douglas
AU - Kirkpatrick, Christine R.
AU - Pascucci, Valerio
N1 - This work was supported in part by the National Science Foundation under Award 1841758, Award 2028923, Award 2103836, Award 2103845, Award 2138811, Award 2127548, Award 2223704, Award 2330582, Award 2331152, and Award 2334945;\u2014the U.S. Depart- ment of Energy (DOE) under Award DE-FE0031880;\u2014 the Intel oneAPI Center of Excellence at the Univer- sity of Utah;\u2014the Exascale Computing Project (17-SC- 20-SC), a collaborative effort of the DoE and the National Nuclear Security Administration (NNSA);\u2014 and UT\u2013Battelle, LLC under contract DE-AC05- 00OR22725. The results presented in this article were obtained in part using resources from ACCESS TG-CIS210128, CloudLab PID-16202, Chameleon Cloud CHI-210923, Fabric, and the IBM Shared University Research Award. The authors acknowledge Nina McCurdy (NASA) for her feedback on the NASA use case.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - This perspective article presents the vision of combining findable, accessible, interoperable, and reusable (FAIR) Digital Objects with the National Science Data Fabric (NSDF) to enhance data accessibility, scientific discovery, and education. Integrating FAIR Digital Objects into the NSDF overcomes data access barriers and facilitates the extraction of machine-actionable metadata in alignment with FAIR principles. The article discusses examples of climate simulations and materials science workflows and establishes the groundwork for a dataflow design that prioritizes inclusivity, web-centricity, and a network-first approach to democratize data access and create opportunities for research and collaboration in the scientific community.
AB - This perspective article presents the vision of combining findable, accessible, interoperable, and reusable (FAIR) Digital Objects with the National Science Data Fabric (NSDF) to enhance data accessibility, scientific discovery, and education. Integrating FAIR Digital Objects into the NSDF overcomes data access barriers and facilitates the extraction of machine-actionable metadata in alignment with FAIR principles. The article discusses examples of climate simulations and materials science workflows and establishes the groundwork for a dataflow design that prioritizes inclusivity, web-centricity, and a network-first approach to democratize data access and create opportunities for research and collaboration in the scientific community.
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U2 - 10.1109/MCSE.2024.3363828
DO - 10.1109/MCSE.2024.3363828
M3 - Article
AN - SCOPUS:85191590658
SN - 1521-9615
VL - 25
SP - 39
EP - 47
JO - Computing in Science and Engineering
JF - Computing in Science and Engineering
IS - 5
ER -