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DESY Documentation: Status + projects

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Presentation on theme: "DESY Documentation: Status + projects"— Presentation transcript:

1 DESY Documentation: Status + projects
SPIRES input Merits / deficiencies Current collaborations Future projects 01/11/2019 Annette Holtkamp

2 SPIRES input SPIRES HEP
Automatic extraction of bibl data New records, standardization + aff, expnr, coll Electronic material SPIRES HEP Publication notes keywords Paper material Manual records Bibliographic records for journal articles, conference proceedings, books, non-arXiv preprints 01/11/2019 Annette Holtkamp

3 SPIRES input Bibliographic data: Acquisition of material:
title, authors, publication note, rep nr, url, doi affiliations, collaboration + experiment nr (link to exp database) link to conf database content classification (analogous to arXiv) + standardized keywords formal classification (talk, review, book, jnl article…) Acquisition of material: toc alerts, xml data delivery, regular scans of known sites active web search (conf procs, theses…) 01/11/2019 Annette Holtkamp

4 Merits - deficiencies Merits: Deficiencies:
comprehensive: preps + jnls + conf procs + books content based selection extensive data: aff, coll, exp nr, author kw, pacs human quality control, standardization content classification + standardized keywords Deficiencies: no citations for journals and conference proceedings lack of automatization (e.g. no automatic recognition of affiliations) time-delayed input (no temporary entries) meagre exploitation of keyword potential 01/11/2019 Annette Holtkamp

5 Current collaborations
SPIRES (SLAC, Fermilab) Data delivery SPIRES c CDS CERN articles, recently added or updated recent non-arXiv preprints HEP taxonomy + automatic keywording (CERN) SCOAP3 (CERN + …) 01/11/2019 Annette Holtkamp

6 Future projects Journal citations (SLAC/CERN)
HEP taxonomy + automatic keywording (CERN + EPFL?) Marie Curie training network Journal abstracts c abstracts database (only for searches) Automatic recognition of affiliations Unique author – affiliation relation Scanning of paper material, extraction of bibliographic data Mapping of author keywords onto standardized keywords 01/11/2019 Annette Holtkamp


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