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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

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Open Science Training in TRIPLE.

Lottie Provost¹, Francesca Di Donato¹, Erzsébet Tóth-Czifra²

¹Istituto di Linguistica Computazionale "A. Zampolli", Consiglio Nazionale delle Ricerche (CNR), Pisa, 56124, Italy.

Open Research Europe

|August 30, 2023

Summary

The TRIPLE project developed Open Science training materials and a toolkit for Social Sciences and Humanities researchers. These resources promote Open Science practices and FAIR data management for digital training materials.

Keywords:

EOSC FAIR data Open Science Project management Scholarly practice Training and education

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Area of Science:

Social Sciences and Humanities (SSH)
Open Science
Digital Research Infrastructure

Background:

The H2020 TRIPLE project aims to foster Open Science adoption in SSH research.
There is a need for enhanced Open Science competencies and FAIR data management support for digital training materials within SSH communities.

Observation:

The TRIPLE project produced two key outputs: an Open Science training series and a Training Toolkit.
The training series offers 12 online events on Open Access, with materials available as Open Educational Resources (OER).
The Training Toolkit provides a FAIR-by-design workflow for organizing and managing training events as OERs.

Findings:

The TRIPLE Open Science training series targets researchers, support staff, and infrastructure developers, equipping them with practical skills for Open Science integration.
The TRIPLE Training Toolkit assists training organizers and institutions in creating and managing impactful training events using FAIR principles.
Both outputs are designed for reusability and relevance beyond the project's lifecycle, promoting sustainable Open Science practices.

Implications:

These resources offer a novel approach to FAIRifying research and training practices in SSH.
The outputs aim to improve the findability, accessibility, interoperability, and reusability of digital training resources.
The TRIPLE project's work encourages the adaptation and reuse of training materials, contributing to a broader adoption of Open Science.