EXFOR-NSR PDF database: a system for nuclear knowledge preservation and data curation

• Published in: Journal of instrumentation 2022-03, Vol.17 (3), p.P03012
• Main Authors: Zerkin, V.V., Pritychenko, B., Totans, J., Vrapcenjak, L., Rodionov, A., Shulyak, G.I.
• Format: Article
• Language: English
• Subjects: Bibliographies; Data centers; Libraries; Library materials; Machine learning; Natural language processing; NUCLEAR PHYSICS AND RADIATION PHYSICS; Nuclear reactions; Portable document format; Relational data bases; User interfaces; Websites; World Wide Web
• ISSN: 1748-0221; 1748-0221
• DOI: 10.1088/1748-0221/17/03/P03012

Current needs of nuclear science and technology include complete, well-documented, and easily verifiable nuclear data. The complete data records require supporting nuclear bibliography, presently stored in dedicated libraries, in addition, to actual data. Experimental nuclear reaction data (EXFOR) and Nuclear Science References (NSR) databases contain compilations based on primary (journals) and secondary (conference proceedings, theses, preprints, etc.) publications, and data received from authors via private communications. The secondary library materials and private communications often represent a bottleneck for nuclear data verification, compilation, evaluation, and dissemination activities. To address this issue, bibliographic materials were scanned into PDF (Portable Document Format) files and uploaded in a relational database. The traditional scope of nuclear databases that includes meta-data and numbers derived from data in specialized formats was broadened to accommodate the large volumes of original nuclear data publications. The complete PDF publication files were stored in a relational database as Binary Large OBjects (BLOB). This unique collection of nuclear data compilations and supporting publications generate many opportunities for machine learning applications. The Web interfaces for authorized and public access to the EXFOR-NSR nuclear publications database were implemented at the U.S. National Nuclear Data Center, https://www.nndc.bnl.gov/ and IAEA Nuclear Data Section, https://www-nds.iaea.org/ . The current system is complementary to major nuclear libraries and narrowly focused on nuclear data compilation and evaluation procedures. The contents of the PDF database, details of implementation, and Web interface are described. New capabilities for data curation, knowledge preservation, worldwide dissemination, and natural language processing (NLP) applications are given.