The Materials Commons: A Collaboration Platform and Information Repository for the Global Materials Community

Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies

“…While many data repositories have flourished for specific techniques, such as high-throughput calculations, 65,139,168 general file repositories tailored to materials science, 169 with rich metadata, 170 would benefit the broader materials community. [171][172][173][174] Additionally, while for-profit materials information management and analysis providers are available to the materials community, 144,175-177 a deliberate effort must be mounted to develop community data and metadata standards to enable widespread, interoperable data exchange. 178 NIST's 179 Information Technology 180 and Material Measurement Laboratories, 181 for one, are developing software underpinning the "Materials Innovation Infrastructure," including the "Materials Resource Registry (MRR)" 182 and the "Materials Data Curation System (MDCS)."…”

UHCSDB: UltraHigh Carbon Steel Micrograph DataBase

“…The SQLite schema presented in this section was designed for expedience in organizing the data for the experiments presented in [4], and will not generalize to new microstructure datasets with different sets of processing and properties metadata. Moving forward, two general options are available: commit to one of the emerging materials data formats (e.g., Citrine's PIF [7,8] or Materials Commons [9]), or iteratively adapt custom organizations while mapping out the data and infrastructure requirements of microstructure data science applications. As the microstructure community converges on data standards and data infrastructure matures and stabilizes, well-documented custom data formats can readily be converted into standard formats and integrated into community repositories.…”

“…These tools could help individual researcher groups scale up their analysis and interpretation of microstructure data internally. Additionally, combined with emerging data curation platforms such as Citrination [7], Materials Commons [9], and the NIST DSpace [18], these microstructure dataset [12] visualization tools could impact the way researchers interact with the materials science literature, as is being done for numerical materials properties [7,19,20]. What if every materials characterization paper had an interactive microstructure and metadata supplementary publication, instead of merely including a select few "representative" micrographs?…”

Data-Driven Materials Investigations: The Next Frontier in Understanding and Predicting Fatigue Behavior

“…32 Second, the community should organize blind-prediction competitions to assess data-driven fatigue models, analogous to the Sandia Fracture Challenge 33,34 or the long-running organic crystal structure prediction blind tests. 35 Finally, the community should adopt data platforms such as Citrination, 36 Materials Commons, 37 and Materials Data Facility, 38 as these systems greatly facilitate data and model sharing, reproducibility of results, and reuse of code.…”