| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
ICME Case Studies: Successes and Challenges for Generation, Distribution, and Use of Public/Pre-Existing Materials Datasets
|
| Presentation Title |
Added Value and Increased Organization: Capturing Experimental Data Provenance in Materials Commons 2.0 |
| Author(s) |
Tracy D. Berman, Brian Puchala, Glenn Tarcea, John Allison |
| On-Site Speaker (Planned) |
Tracy D. Berman |
| Abstract Scope |
Capturing the provenance associated with experimental data continues to be a formidable barrier to developing materials datasets. While provenance can be automatically collected and stored behind the scenes in computational studies, in experimental studies the responsibility falls upon the scientists, technicians, and students in the labs. Automatically uploading all information collected on an instrument, or forcing users to fill out forms, risks diluting the system with low quality data and misinformation. This talk will describe the approach used to capture experimental data provenance in Materials Commons 2.0. The speaker will also discuss how working with Materials Commons has changed how they allocate time for experiments, the organizational benefits of formatting data for ingestion into Materials Commons, and the barriers that remain when sharing data. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
ICME, Other, Other |