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Towards an Open Infrastructure for Relating Scholarly Assets
Christopher Munro1, Philip Couch1, Jon Johnson2
1Health eResearch Centre, Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, UK.
This study introduces a new framework for linking scholarly assets online, improving knowledge discovery across research studies. It uses open standards and distributed systems to connect digital entities and track their provenance.
Area of Science:
- Computer Science
- Information Science
- Digital Libraries
- Scholarly Communication
Background:
- Discovering relationships between scholarly assets online is difficult due to metadata and provenance challenges.
- Connecting digital entities in a community-accessible chain of provenance is complex.
- Existing platforms often lack a unified approach to managing scholarly asset relationships.
Purpose of the Study:
- To develop a framework and tools for expressing scholarly asset relationships in a standard and open manner.
- To demonstrate the framework's utility in discovering new knowledge across cohort studies.
- To create a decentralized infrastructure for managing scholarly asset provenance and connections.
Main Methods:
- Utilizing Research Objects for aggregating scholarly assets.
- Employing distributed databases for data storage.
- Implementing distributed ledgers for tracking provenance.
- Designing a framework that leverages existing resources and platforms through natural partnerships.
Main Results:
- A functional framework and tools for expressing scholarly asset relationships have been developed.
- Use-cases illustrate the discovery of new knowledge across cohort studies using the framework.
- The proposed infrastructure supports diverse users, including system administrators and researchers.
- The system avoids reliance on a single central platform, promoting a distributed approach.
Conclusions:
- The developed framework provides a standard and open method for managing scholarly asset relationships and provenance.
- This decentralized approach enhances knowledge discovery and collaboration across research communities.
- The infrastructure is scalable and adaptable, supporting a wide range of users and applications.
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