https://github.com/lfoppiano/supercon2
Staging-area for automatically collected experimental data for the SuperCon database with a curation interface with enhanced-document viewer and curation-ready interface
https://github.com/lfoppiano/supercon2
feedback grobid superconductors tdm training training-data
Last synced: 3 months ago
JSON representation
Staging-area for automatically collected experimental data for the SuperCon database with a curation interface with enhanced-document viewer and curation-ready interface
- Host: GitHub
- URL: https://github.com/lfoppiano/supercon2
- Owner: lfoppiano
- Created: 2021-11-19T06:26:46.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-01-16T00:13:43.000Z (over 1 year ago)
- Last Synced: 2024-04-24T11:51:50.669Z (about 1 year ago)
- Topics: feedback, grobid, superconductors, tdm, training, training-data
- Language: JavaScript
- Homepage: https://supercon2.readthedocs.io
- Size: 36.7 MB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 29
-
Metadata Files:
- Readme: README.md
- Citation: CITATION.cff
Awesome Lists containing this project
- awesome-materials-informatics - SuperCon2 - A user interface for curating Superconductors materials and properties extracted by [grobid-superconductors](https://github.com/lfoppiano/grobid-superconductors) (Software and products)
README
# SuperCon 2
SuperCon 2 is the staging-area of [SuperCon](http://supercon.nims.go.jp), the 'de-facto standard' database of superconductors materials.
SuperCon 2, collect experimental data automatically extracted from scientific documents and provide a workflow to correct them efficiently and with high quality.
The SuperCon 2 interface is described in details [here](https://doi.org/10.1080/27660400.2023.2286219).
This repository contains:
- The process to create the SuperCon 2 database from scratch, using [Grobid Superconductor](https://github.com/lfoppiano/grobid-superconductors) to extract materials information from large quantities of PDF.
- SuperCon 2 curation interface and workflow application for visualising and editing material and properties extracted from superconductors-related papers.
- The documentation related to the usage of SuperCon 2, with notes, experiments and other information, accessible [here](https://supercon2.readthedocs.io).
Reference:
```
@article{doi:10.1080/27660400.2023.2286219,
title = {Semi-automatic staging area for high-quality structured data extraction from scientific literature},
author = {Luca Foppiano, Tomoya Mato, Kensei Terashima, Pedro Ortiz Suarez, Taku Tou, Chikako Sakai, Wei-Sheng Wang, Toshiyuki Amagasa, Yoshihiko Takano and Masashi Ishii},
year = 2023,
journal = {Science and Technology of Advanced Materials: Methods},
publisher = {Taylor & Francis},
volume = {0},
number = {ja},
pages = 2286219,
doi = {10.1080/27660400.2023.2286219},
url = {https://doi.org/10.1080/27660400.2023.2286219},
eprint = {https://doi.org/10.1080/27660400.2023.2286219}
}
```