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Recycling in the Digital Age: Creating Analytics tools from a discovery database Tim Aitken,

Recycling in the Digital Age: Creating Analytics tools from a discovery database Tim Aitken, Senior Product Manager, Inspec. The Inspec Abstracting & Indexing Database. 18m. Electrical & electronic engineering. Computing & control engineering.

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Recycling in the Digital Age: Creating Analytics tools from a discovery database Tim Aitken,

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  1. Recycling in the Digital Age: Creating Analytics tools from a discovery database Tim Aitken, Senior Product Manager, Inspec

  2. The Inspec Abstracting & Indexing Database 18m Electrical & electronic engineering Computing & control engineering Production, manufacturing & mech. engineering Physics records (Oct 2018) • 870,000 records added in 2017 • Optional Archive adds another 873,699 • Over 4,500 journals, and 3,000 other publications from 750 publishers • Over 10% open access titles 10 million + 7 million 5.5 million 2.2 million • Developed to make scientific article discovery easier through doc gathering, curation & consistent content indexing • Main customer base: 1000+ Universities & Engineering corporates • Changing market conditions, user behaviour and available technologies has led to decline in usage since 2008, and consequently revenue declining year on year • Investigated semantic enrichment and new applications as a means to assuage/reverse this

  3. The Inspec Indexing process • Title • Abstract • Other Bibliographic Information • (Author, Source, etc.) From Original Source • Bibliographic • Record • Uncontrolled Index • Controlled Index • Subject • Terms Added Value Fields by Indexer • Classification Codes • Treatment Codes • Chemical Indexing • Numerical Data Indexing • Astronomical Object Indexing • Patent Classification Codes • Special Indexes

  4. Inspec Overview • Indexing quality and human curation of data is a USP • Reduces time needed to find relevant articles to a search • Gives context, interdisciplinary insight, and reduces ambiguity • All articles human-indexed with multiple keywords from a controlled Thesaurus (10,000) together with Classification Codes from a 5 level Subject Classification Index • Highly structured dataset, combined with a carefully maintained thesaurus & index, enables Analytics tools to be developed to give unique capabilities to researchers in our target market • Thesaurus + Domain Model > Ontologies + Data > Knowledge Graph + UI = Analytics Platform • Expanding from article discovery to industry insight

  5. From Articles > Analytics • DRILL-DOWN TO SPECIFIC SUBJECT AREAS: • Inspec Analytics allows users to drill-down through up to 5 levels of subject classification, and 10,000 subject keywords, giving unparalleled insight into the related entities. • e.g. • Electrical engineering and electronics • Power systems and applications • Generating stations and plants • Thermal power stations and plants • Gas-turbine power stations and plants • Publishing trends over time • per institution • globally • Most prolific organisations on this concept • Top journals & conferences on this concept • Comparative ranking of competing organisations • Co-occurring scientific concepts • Related terms in Inspec thesaurus • Most prolific authors at an organisation • Most productive collaborations • Top funding bodies • Citation counts

  6. Example: See published output from 101 institutions in Egypt or 25000 globally: • See top ranking subjects • 5 level hierarchy of 3600 subject classifications • 10,000 thesaurus keywords • Understand trends over time • Compare organisations, Identify potential research partners & ‘white space’ for new investment • Benchmark against local or international competitors • Determine target metrics for individual subject areas • Examine trends, top organisations & top co-occurring concepts for over 13,500 scientific concepts

  7. Project Deliverables and Product Reception • Significant market research carried out • Customer engagement : • Surveys, In depth interviews • Proofs of Concept & Mock-ups, • Prototypes delivered and continuous customer feedback garnered • Minimal Viable Product based around ‘Institutional Analytics’ delivered in April 2018, with continuing 2 week sprints • Significant customer engagement > moving from librarians (gatekeepers) to faculty (decision makers) • 10 year revenue decline reversed within last 6 months • Former cancellations re-subscribing, and penetrating new markets (Governments, Corporates)

  8. Summary • Existing market has moved away from traditional article discovery databases due to financial constraints, changing user behaviours & new technologies • Using Semantic technologies to enrich and link data in a legacy product can deliver significant financial benefits • Customer engagement & constant revalidation with customers to identify KPIs is key • Highly structured, human curated databases can be repurposed & recycled to provide new value propositions to regain and grow market share • It’s not all about the ‘shiny’ front end • Extensive domain modelling, curated structured data and niche-specificity are helpful • Poor data quality = poor end product

  9. Tim AitkenSenior Product Manager, Inspec taitken@theiet.org

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