FAIRLinked: Data FAIRification Tools for Materials Data Science

Python Submitted 22 September 2025Published 01 June 2026
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Authors

Van D. Tran (0009-0008-4355-0543), Brandon Lee, Ritika Lamba (0009-0007-8483-019X), Henry Dirks, Quynh D. Tran (0009-0006-4025-1834), Balashanmuga Priyan Rajamohan (0009-0003-5326-1706), Ozan Dernek (0000-0002-5071-9684), Laura S. Bruckman (0000-0003-1271-1072), Yinghui Wu (0000-0003-3991-5155), Erika I. Barcelos (0000-0002-9273-8488), Roger H. French (0000-0002-6162-0532)

Citation

Tran et al., (2026). FAIRLinked: Data FAIRification Tools for Materials Data Science. Journal of Open Source Software, 11(122), 9628, https://doi.org/10.21105/joss.09628

@article{Tran2026, doi = {10.21105/joss.09628}, url = {https://doi.org/10.21105/joss.09628}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {122}, pages = {9628}, author = {Tran, Van D. and Lee, Brandon and Lamba, Ritika and Dirks, Henry and Tran, Quynh D. and Rajamohan, Balashanmuga Priyan and Dernek, Ozan and Bruckman, Laura S. and Wu, Yinghui and Barcelos, Erika I. and French, Roger H.}, title = {FAIRLinked: Data FAIRification Tools for Materials Data Science}, journal = {Journal of Open Source Software} }
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Ontology FAIR Materials Data Science

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ISSN 2475-9066