Pith. sign in

REVIEW

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2105.05160 v1 pith:WWMI5TNL submitted 2021-05-11 cond-mat.mtrl-sci

Research Data Infrastructure for High-Throughput Experimental Materials Science

classification cond-mat.mtrl-sci
keywords dataexperimentalmaterialssciencehigh-throughputhtem-dbinfrastructurenrel
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

The High-Throughput Experimental Materials Database (HTEM-DB) is the endpoint repository for inorganic thin-film materials data collected during combinatorial experiments at the National Renewable Energy Laboratory (NREL). This unique data asset is enabled by the Research Data Infrastructure (RDI) - a set of custom data tools that collect, process, and store experimental data and metadata. Here, we describe the experimental data-tool workflow from the RDI to the HTEM-DB to illustrate the strategies and best practices currently used for materials data at NREL. Integration of these data tools with the experimental processes establishes a data communication pipeline between experimental and data science communities. In doing so, this work motivates the creation of similar data workflows at other institutions to aggregate valuable data and increase its usefulness for future data studies. These types of investments can greatly accelerate the pace of learning and discovery in the materials science field, by making data accessible to new and rapidly evolving data methods.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.