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UNLEASHING THE POTENTIAL OF ADDITIVE MANUFACTURING: FAIR AM DATA MANAGEMENT PRINCIPLES

Published

Author(s)

William Frazier, Yan Lu, Paul Witherell

Abstract

The potential significance of FAIR data is hard to overstate, but equally hard to prove in totality. FAIR data can change the paradigm for research and development, qualification/certification, and acquisition, sustainment in AM. We can predict the benefits by extrapolating the needs of today, but we expect the real benefit to be unimaginable. The internet has taught us that the availability of knowledge leads to impactful but unpredictable advancements. However, these advancements rely on network effects and require a critical number of users. A concentrated effort is needed to prime the AM FAIR data pump. It needs to begin addressing the PEST challenges by proving a tangible value of FAIR data while demonstrating a model for rapid technological development of the AM FAIR data infrastructure. This must be accomplished in a way that builds community acceptance among industrial users, government users, and database management providers. Most importantly, this progress needs to attract influential early adopters of FAIR AM data.
Citation
Advanced Materials & Processes magazine

Keywords

Findable, Accessible, Interoperable and Reusable data, additive manufacturing, data management

Citation

Frazier, W. , Lu, Y. and Witherell, P. (2021), UNLEASHING THE POTENTIAL OF ADDITIVE MANUFACTURING: FAIR AM DATA MANAGEMENT PRINCIPLES, Advanced Materials & Processes magazine, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932826 (Accessed May 27, 2024)

Issues

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Created July 9, 2021, Updated November 29, 2022