databases > DOI:10.25504/FAIRsharing.I5xHsJ
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ready The Materials Data Facility

Abbreviation:MDF

General Information
MDF streamlines and automates data sharing, discovery, access and analysis by: 1) enabling data publication, regardless of data size, type, and location; 2) automating metadata extraction from submitted data into MDF metadata records (i.e., JSON formatted documents following the MDF schema) using open-source materials-aware extraction pipelines and ingest pipelines; and 3) unifying search across many materials data sources, including both MDF and other repositories with potentially different vocabularies and schemas. Currently, MDF stores 60 TB of data from simulation and experiment, and also indexes hundreds of datasets contained in external repositories, with millions of individual MDF metadata records created from these datasets to aid fine-grained discovery.




How to cite this record FAIRsharing.org: MDF; The Materials Data Facility; DOI: https://doi.org/10.25504/FAIRsharing.I5xHsJ; Last edited: April 27, 2021, 8:02 a.m.; Last accessed: Sep 25 2021 1:16 a.m.

Publication for citation  The Materials Data Facility: Data Services to Advance Materials Science Research. B. Blaiszik, K. Chard, J. Pruyne, R. Ananthakrishnan, S. Tuecke & I. Foster ; JOM 68, no. 8 (July 6, 2016): 2045–2052. doi:10.1007/s11837-016-2001-3. ; 2016.


This record is maintained by blaiszik

Record added: March 2, 2021, 3:29 p.m.
Record updated: April 16, 2021, 7:02 p.m. by The FAIRsharing Team.

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The Materials Data Facility: Data Services to Advance Materials Science Research.

B. Blaiszik, K. Chard, J. Pruyne, R. Ananthakrishnan, S. Tuecke & I. Foster
JOM 68, no. 8 (July 6, 2016): 2045–2052. doi:10.1007/s11837-016-2001-3. 2016

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A data ecosystem to support machine learning in materials science

Blaiszik, Ben, Logan Ward, Marcus Schwarting, Jonathon Gaff, Ryan Chard, Daniel Pike, Kyle Chard, and Ian Foster.
MRS Communications (October 10, 2019): 1–9. doi:10.1557/mrc.2019.118. 2019

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