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Content Curation System for Automated Knowledge Compilation and Delivery
  1. case
  2. Content Curation System for Automated Knowledge Compilation and Delivery

Content Curation System for Automated Knowledge Compilation and Delivery

digiteum.com
Media
Education
Publishing

Identified Challenges in Research Content Management and Delivery

The client faces difficulties in efficiently collecting, organizing, and providing timely access to relevant scholarly content across multiple data sources, leading to resource-intensive manual processes and delayed dissemination of up-to-date research materials to their subscribers.

About the Client

A large scholarly publishing or academic organization requires an advanced content curation platform to aggregate, systematize, and deliver timely, field-specific research compilations to subscribers.

Goals for Enhancing Content Curation and Distribution

  • Automate collection and aggregation of annotations and records from multiple field-specific data sources.
  • Develop a system for structuring, indexing, and assessing the significance of collected data.
  • Enable editorial teams to efficiently compile, review, and package content into curated publications.
  • Implement a subscription-based delivery mechanism with constantly updated, relevant content feeds to end-users.
  • Achieve continuous data supply and management from diverse external sources to ensure up-to-date content delivery.

Core Functional System Capabilities for Content Curation Platform

  • Data aggregation module that ingests raw data from multiple external resources such as journals, blogs, and publications.
  • Keyword indexing and data assessment tools for evaluating content relevance and importance.
  • Editorial interface for data review, structuring, and compilation into publishable packages.
  • Quality control featuring double verification from initial review to final editing stages.
  • Content packaging system that creates compilations on specific fields or topics.
  • Subscriber interface providing access to up-to-date, relevant content feeds based on chosen topics.
  • Content update engine ensuring continuous, real-time data influx and publication.

Preferred Technologies and Architectural Approaches

Data aggregation and processing pipelines
User-friendly web interfaces for editorial and subscriber portals
Automated data verification mechanisms
Real-time feed delivery systems

External Systems and Data Source Integrations Needed

  • Integration with major data resource providers such as scholarly journals, bibliographic databases, and industry blogs
  • APIs for content ingestion and updates
  • Subscriber authentication and feed delivery systems

Non-Functional System Requirements for Reliability and Performance

  • System scalability to support thousands of content compilations and subscribers
  • High availability with 99.9% uptime
  • Secure data handling respecting content licensing and user privacy
  • Performance targets ensuring content updates are reflected within minutes

Projected Benefits and Business Impact of the Content Curation System

The implementation of the automated content curation system is expected to significantly reduce manual effort, increase the frequency and accuracy of content updates, and improve subscriber engagement. The system aims to support the issuance of thousands of field-specific content compilations, enhancing research efficiency and knowledge dissemination, thereby strengthening the organization’s leadership in scholarly publishing.

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