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Research Track

Research Track rakes up annotations and related records on field-specific topics, systemizes data and builds compilations to provide scholars and learners with relevant content and read lists and let them go without additional research efforts.

To compile publications the system combs multiple resources to collect raw data on keyword and topic-related basis. It allows editorial team to proceed with content processing by keyword indexing, assessment of significance, and data structuring, then pack content into compilations and issue them into Subscribers’ feeds. Once Subscribers register for certain topics, they get access to these relevant compilations.

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All annotations and related records on field-specific topic in one compilation
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Visual interface for Subscribers who receive relevant content in constantly updated feeds

Highlights

  • Systematic collection and update of relevant records on field-specific topics
  • Continuous data supply from multiple resources
  • Functional interface used by editorial teams for structuring, indexing, assessing and compiling data packages for publishing
  • Double verification of data from initial review to final editing and issuing
  • Visual interface for Subscribers who receive relevant content in constantly updated feeds
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Continuous data supply from multiple resources

Statistics

  • More than 150 data resources (journals, blogs, books, publications, etc.) up to date
  • 3 major data suppliers: Journal TOCs, Nielsen BookData, ACI Scholarly Blog Index
  • Bifunctional frontend with 2 visual interfaces for editorial team and Subscribers
  • Thousands of compilations on field-specific topics issued up to date

PROJECT DETAILS

DATE: 2016 
CLIENT: Oxford University Press

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text processing
Thousands of compilations on field-specific topics issued up to date

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