Case Study:  Analysis of Indexing Data to Support Editorial Strategy Development
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Case Study: Analysis of Indexing Data to Support Editorial Strategy Development

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Helen Atkins of PLoS describes how Access Innovations' Data Harmony indexing software was used to help PLoS editorial teams analyse data for the PLOS ONE website, http://www.plosone.org/.

Helen Atkins of PLoS describes how Access Innovations' Data Harmony indexing software was used to help PLoS editorial teams analyse data for the PLOS ONE website, http://www.plosone.org/.

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  • Bio/lifesci – light green 5-6:00Medicine/health sci – salmon 7:00Physical sci – purple 1-3:00Ecol/envsci – dk green – 4:00Computer/info sci – pink 10:00Research & analysis methods – yellow everywhereEarthsci – brown 3:00Engg/tech - cyan blue 10:00Social sci/sci policy – light pink 9:00

Case Study: Analysis of Indexing Data to Support Editorial Strategy Development Presentation Transcript

  • 1. Taxonomy Analysis to Support Key Decision Making Helen Atkins Director, Publishing Services 11 February 2014 1
  • 2. Overview • Some background on PLOS • Goals of the project • Historic data indexing • Analysis of coverage over time • Visualizing the results • Decision support • Additional projects in process or planning – Next year’s presentation topic?
  • 3. Who is PLOS? • Ten years old • The largest not-for-profit Open Access publisher – 4,500 submissions per month • The publisher of seven Open Access journals • Based in San Francisco, US, and Cambridge, UK • Self-sustaining since late 2010 3
  • 4. 4 PLOS Biology October, 2003 PLOS Medicine October, 2004 PLOS Community Journals June-September, 2005 October, 2007 PLOS ONE December, 2006
  • 5. PLOS ONE: The World’s First Mega-journal 5 • Editorial criteria • Scientifically rigorous • Ethical • Properly reported • Conclusions supported by the data • Editors and reviewers do not ask • How important is the work? • Which is the relevant audience? • Everything that deserves to be published, will be published • Therefore, the journal is not artificially limited in size • Use online tools to sort and filter scholarly content after publication, not before
  • 6. Goals of the Project • Identify areas of strength for each journal – Confirm journals’ scopes against actual coverage • Identify areas of emerging growth – Shifting from original scope? – Opportunities for new development, expansion? • Using data on patterns of general literature growth, determine: – Where are we strong compared to the market? – Where might we be lagging behind? 6
  • 7. Historic Indexing • Project was developed with Access Innovations • Using the PLOS taxonomy – Indexed PLOS published articles from 2007 through June, 2013 • 85,000 PLOS records – Indexed a large commercial A&I database • 25,000,000 records 7
  • 8. Visualizing the Results • Partnered with Kevin Boyack and Map of Science to develop visual representations of the data • Very high-level look at the results for PLOS ONE 8
  • 9. THESAURUS BASEMAP Circle size - # documents Circle color – top level term Many small circles – detailed thesaurus and rule base that differentiates Few large circles – broad terms and rule base that doesn’t differentiate
  • 10. ANALYSES PLoS One – All years PLoS One (2008) PLoS One (2009) PLoS One (2010) PLoS One (2011) PLoS One (2012) PLoS One (2013)
  • 11. ANALYSES PLoS One – All years PLoS One (2008) PLoS One (2009) PLoS One (2010) PLoS One (2011) PLoS One (2012) PLoS One (2013)
  • 12. ANALYSES PLoS One – All years PLoS One (2008) PLoS One (2009) PLoS One (2010) PLoS One (2011) PLoS One (2012) PLoS One (2013)
  • 13. ANALYSES PLoS One – All years PLoS One (2008) PLoS One (2009) PLoS One (2010) PLoS One (2011) PLoS One (2012) PLoS One (2013)
  • 14. ANALYSES PLoS One – All years PLoS One (2008) PLoS One (2009) PLoS One (2010) PLoS One (2011) PLoS One (2012) PLoS One (2013)
  • 15. ANALYSES PLoS One – All years PLoS One (2008) PLoS One (2009) PLoS One (2010) PLoS One (2011) PLoS One (2012) PLoS One (2013)
  • 16. ANALYSES PLoS One (2007-2011) PLoS One (2008) PLoS One (2009) PLoS One (2010) PLoS One (2011) PLoS One (2012) PLoS One (2013)
  • 17. Analysis of Coverage Over Time • Spreadsheet data analysis – Where is the literature growing faster than average? • Is PLOS ONE coverage also growing? If not, • Are we missing opportunities? • Are these areas out of current scope? – Areas of strength in coverage • Also added to our coverage analysis data on online use, citation rates, acceptance rates, and other metrics – Emerging growth areas • Where is PLOS ONE coverage growing faster than its overall growth? 17
  • 18. Decision Support • Editorial – Is stated scope solid? Does it need to be updated, expanded, revised? – Expanding areas may need increased support • Marketing – Campaigns to increase submissions in selected areas – Identify conferences to attend to increase exposure to potential authors/editors 18
  • 19. Decision Support - Example Ecology & Environmental Sciences 9% of all ONE articles have been tagged as Ecol/Env Sci Areas accounting for the most articles are in the level 2 topics listed below. Although it is still a small portion of the journal overall, this is a general area of growth in ONE. Community ecology: community structure, food web structure Ecosystems: forests, deserts Microbial ecology Paleoecology Physiological ecology Population ecology Opportunities for growth where ONE growth is slow relative to the literature: Agroecology Coastal ecology Conservation genetics Environmental economics Nature-society interactions Systems ecology 19
  • 20. Additional Applications in the Works • Using taxonomic analysis – To help identify submissions likely to be rejected – To match people (editors, reviewers) and manuscripts 20