FAIR Additive Manufacturing Data Management Principles-Reference-Cited by-同舟云学术

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FAIR Additive Manufacturing Data Management Principles

Published:2023-06-30 Issue: Volume: Page:171-176
ISSN:
Container-title:Additive Manufacturing Design and Applications
language:en
Short-container-title:

Author:

Frazier William E.¹,Lu Yan²,Witherell Paul²,Kitt Alex³

Affiliation:

1. Pilgrim Consulting

2. National Institute of Standards and Technology (NIST)

3. EWI

Abstract

Abstract This article details findability, accessibility, interoperability, and reusability (FAIR) additive manufacturing data management principles and examines related motivations, benefits, and challenges. It explains opportunities to advance the state of the AM community efforts in fostering FAIR data management practices/principles and outlines the consequence of such efforts on technology maturation and industrialization for AM technologies.

Publisher

ASM International

Link

https://dl.asminternational.org/handbooks/edited-volume/chapter-pdf/667426/a0006979.pdf

Reference42 articles.

1. SoldatosJ.et al., “Industrie 4.0 Deep Dive,” Wevolver, Amsterdam, The Netherlands, https://wevolver-project-images.s3-us-west-1.amazonaws.com/Industrie_4.0_deep_dive.pdf, accessed March 17, 2021

2. The Need of Industry to Go FAIR;van Vlijmen;Data Intell.,2020

3. Materials 4.0: Materials Big Data Enabled Materials Discovery;Jose;Appl. Mater. Today,2018

4. Vision 2040: A Roadmap for Integrated Modeling of Materials and Systems, Phase 2;National Aeronautics and Space Administration,2017

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