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~15’000 HEP theorists scratch their heads to make sense of all that stuff and then some more

INSPIRE A new information system for High-Energy Physics. Lessons learnt. Salvatore Mele, CERN On behalf of the INSPIRE collaboration OR2010 | Madrid | July 6 th 2010. ~15’000 High Energy Physics (HEP) scientists smash stuff at the speed of light to produce new stuff.

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~15’000 HEP theorists scratch their heads to make sense of all that stuff and then some more

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  1. INSPIREA new information system forHigh-Energy Physics.Lessons learnt.Salvatore Mele, CERNOn behalf of the INSPIRE collaborationOR2010 | Madrid | July 6th 2010

  2. ~15’000 High Energy Physics (HEP) scientists smash stuff at the speed of light to produce new stuff

  3. ~15’000 HEP theorists scratch their heads to make sense of all that stuff and then some more

  4. Krause et al. CERN-OPEN-2007-014 …and they write 10k papers/year ‘bout it 90% of papers… …on theory … 3 authors

  5. The “preprint culture” L.Goldschmidt-Clermont, 1965, http://eprints.rclis.org/archive/00000445/02/communication_patterns.pdf • Scientific journals of ‘60s too slow for HEP • Mass-mail preprints to institutes worldwide • Ante litteram (institute-pays) Open Access • Leading libraries catalogue & serve preprints • From the ‘70s SPIRES: e-Catalogue CERN Library, circa 1960

  6. Something “vague but exciting” @CERN (T. Berners-Lee at CERN, early ‘90s)

  7. Ist Web Site in the U.S.

  8. 1991: arXiv.org Discovery and first plateaus Steady state & constant output Conference contributions WWW

  9. Why don’t we need mandates?Why don’t we need advocacy?

  10. What do scientists want ?

  11. VisibilityAccelerationImpact

  12. Visibility

  13. Where do HEP scientists look for info? Gentil-Beccot et al. arxiv:0804.2701 • Survey of 2’000+ scientists (10% of community) • OA tools answer scientists’ information needs • Google as proxy of arXiv, SPIRES, publishers

  14. Acceleration

  15. Ten years in the life of a HEP article • SPIRES counts: citations to/from preprints/articles • Citation peaks at publications • Scientific discourse proceeds on discipline repository

  16. Impact

  17. Citation augmentation • Discipline repository yields immense avantage • Five times more citations for articles in arXiv • 20% of 2-year citations occur before publication

  18. By the way, do they read journals?

  19. 97% of HEP journals’ content is in arXiv

  20. Gentil-Beccotet al. arxiv:0906.5418 Given a choice, only one in five (maybe ten) scientists goes to the published version of an article. ∼30,000 clicks (choice between arXiv and journal) Publisher server 18% arXiv 82% (As many scientists as analyzed here go straight to arXiv) ( ) Still, peer-review and journals are indispensable SCOAP3.org will solve this conundrum

  21. Enter INSPIRE What is it? What does it do? What will it do? Why shall I care?

  22. INSPIRE in a nutshell • Joint Project of CERN, DESY, Fermilab and SLAC • Inspired by survey HEP scientists (2000+ respondents) expecting the future from ageing SPIRES infrastructure • Unify DESY/Fermilab/SLAC SPIRES content with CERN Invenio Open Source Digital Library Platform • 860’000 Records/500’000 Full-text/All that matters in HEP • 40 years of manual curation; arXiv and publishers feeds

  23. Invenio – CERN Open Source Digital Library solution http://invenio-software.org Designed for scientific libraries with 0.2-10M records Now also powering OpenAIRE “Orphan” repository (Listen to S. Kaplun’s talk today @1500 Room 2)

  24. Who do we know? • 80K names (20K affiliation histories, 25K e-mails) • 860K papers with authors and affiliations • 22M ‘signatures’ on papers Automatic Disambiguation Henning Weiler – PhD@CERN “Who was where when and wrote on what with whom ?” E.g. Scan 5.4M signatures. Attribute 5.3M to 250 authors ! E.g. 963 papers by "Chen, G”, 98% attributed to 21 authors

  25. Coming soon Content, metadata and feature enhancement

  26. Back to the users • Personal libraries, alerts • Claim-my-papers (with arXiv and ORCID) • Submit theses and old non-arXiv material • Attach non-text material (high level data files) • OCR of library holdings (with D4Science-II) • Advanced feeds (with ADS, arXiv, Publishers)

  27. Full-text search

  28. Figure extraction

  29. Coming later • Holistic recommender system (logs, cites, text) • Crowdsourcing of keywording (tagging) • Semantic layer (did-you-mean and classification) • ORE’ish aggregation of cite/people/data/papers • (Semantic) image search • Platform for high-level data preservation • NOTE: Looking for PhD/Post-Docs – e-mail me

  30. Lesson learnt • Understand users/authors drivers and barriers • Invest in value-added service for scientists • Harvesting and curation • Visibility, accessibility, efficiency • Co-operation, collaboration, partnerships • Aim – ACCELERATE SCIENCE

  31. Thank you ! Salvatore.Mele@cern.ch http://inspirebeta.net Additional resources: R. Heuer et al. Innovation in Scholarly Communication: Vision and Projects from High-Energy Physics http://arxiv.org/abs/0805.2739 A.Gentil-Beccot et al. Information Resources in High-Energy Physics: Surveying the Present Landscape and Charting the Future Course http://arxiv.org/abs/0804.2701 A.Gentil-Beccot et al. Citing and Reading Behaviors in HEP: How a Community Stopped Worrying about Journals and Learned to Love Repositories http://arxiv.org/abs/0906.5418

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