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TeSS: a platform for discovering life-science training opportunities
Niall Beard1, Finn Bacall1, Aleksandra Nenadic1
1Department of Computer Science, The University of Manchester, Manchester M13 9PL, UK.
Bioinformatics (Oxford, England)
|February 12, 2020
Summary
Finding relevant research training is difficult due to scattered online information. The new Training and Educational Services System (TeSS) platform centralizes this data, offering a searchable portal for researchers.
Area of Science:
- Bioinformatics
- Life Sciences
- Research Training
Background:
- Numerous online resources provide research training information.
- This information is often fragmented and difficult to locate.
- Researchers face challenges in identifying relevant training opportunities.
Purpose of the Study:
- To develop a centralized platform for discovering research training.
- To aggregate geographically distributed training information.
- To enhance accessibility and relevance of training resources for researchers.
Main Methods:
- Developed the Training and Educational Services System (TeSS) platform.
- Automated data aggregation from content providers using bespoke scripts.
- Cross-linked training resources with related data and tools registries.
Main Results:
- TeSS aggregates disparate training information into a central portal.
- Resources are accessible via a search interface, data API, and widgets.
- Improved discoverability of relevant training opportunities for researchers.
Conclusions:
- The TeSS platform effectively addresses the challenge of fragmented training information.
- Centralized and searchable training data enhances research professional development.
- TeSS provides a valuable resource for the scientific community.
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