Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric

被引：0

作者：

Taufer, Michela ^{[1
]}

Martinez, Heberth ^{[2
]}

Luettgau, Jakob ^{[2
]}

Whitnah, Lauren ^{[2
]}

Scorzelli, Giorgio ^{[3
]}

Newell, Pania ^{[4
,5
]}

Panta, Aashish ^{[6
]}

Bremer, Peer-Timo ^{[7
]}

Fils, Douglas ^{[8
]}

Kirkpatrick, Christine R. ^{[9
]}

Pascucci, Valerio ^{[5
,10
,11
]}

机构：

[1] Univ Tennessee, Dept Elect Engn & Comp Sci, High Performance Comp, Knoxville, TN 37996 USA

[2] Univ Tennessee, Dept Elect Engn & Comp Sci, Global Comp Lab, Knoxville, TN 37996 USA

[3] Univ Utah, Ctr Extreme Data Management Anal & Visualizat, Software Dev, Salt Lake City, UT 84112 USA

[4] Univ Utah, Dept Mech Engn, Salt Lake City, UT 84112 USA

[5] Univ Utah, Sch Comp, Salt Lake City, UT 84112 USA

[6] Univ Utah, Salt Lake City, UT 84112 USA

[7] Lawrence Livermore Natl Lab, Ctr Appl Sci Comp, Livermore, CA 94550 USA

[8] Ronin Inst, Data Management & Anal, Montclair, NJ 07043 USA

[9] San Diego Supercomp Ctr, Res Data Serv Div, La Jolla, CA 92093 USA

[10] Univ Utah, Ctr Extreme Data Management Anal & Visualizat, Salt Lake City, UT 84112 USA

[11] Univ Utah, Sci Comp & Imaging Inst, Salt Lake City, UT 84112 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2023年 / 25卷 / 05期

基金：

美国国家科学基金会;

关键词：

Materials science and technology; Costs; Education; Collaboration; Metadata; Fabrics; Data mining;

D O I：

10.1109/MCSE.2024.3363828

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：39 / 47

页数：9

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