Open Science and Research Data Management Innovative and Distributed Training Programme Erasmus Project

Project Title

Open Science and Research Data Management Innovative and Distributed Training Programme

Project Key Action

This project related with these key action: Cooperation for innovation and the exchange of good practices

Project Action Type

This project related with this action type : Strategic Partnerships for higher education

Project Call Year

This project’s Call Year is 2020

Project Topics

This project is related with these Project Topics: ICT – new technologies – digital competences; Research and innovation; Quality Improvement Institutions and/or methods (incl. school development)

Project Summary

Open Science (OS) opens up new ways in which research/ education/innovation are undertaken, archived and curated, and disseminated across the globe. Open Science is not about dogma per se: it is about greater efficiency and productivity, more transparency, and a better response to interdisciplinary research needs. But OS requires a cultural change in academic institutions, including the acquisition of new knowledge and skills in fields like open access publishing and research data sharing. Master’s and PhD students, and Early Career Researchers in general, can be arguably harbingers of change within the traditional system of academic science and publishing, and OS is key factor driving this change. Yet, this change may take more time than expected unless fostered especially regarding practices in OS. It is therefore required a favorable, rewarding environment, where there are opportunities to acquire awareness and knowledge and develop OS relevant skills.

In their advice paper on OS and the role of universities, the League of European Research Universities (LERU) highlights the education and skills training of all people in the universities as one of the eight OS pillars. Many universities develop and deliver their own training, while others work with external providers. LERU states that Open Science skills training should be firmly embedded (in online progress tools or similar study management and supervisory systems) and should be acknowledged in professional development and career progression. Universities should integrate OS concepts and their practical applications in educational and skills development programmes, analysing and mapping their needs for skills training and taking into account the different OS dimensions and the varying needs of different audiences, different disciplines, etc.

TrainRDM aims to empower the Education and Skills dimension of OS through exploring innovative mechanisms and tools to provide the skills training in particular for and Research Data Management (RDM) good practices.
The project’s objectives are:
– To analyze and map the skills training needs for OS and RDM in existing curricula in partner HEIs taking into account the different OS dimensions, target groups and level of existing knowledge;
– To review existing good practice in OS and RDM skills training;
– To develop a OS and RDM Training Methodological Toolkit;
– To develop, validate and diffuse a quality pilot training programme for OS and RDM;
– To develop a training network around OS and RDM concepts;
– To encourage, motivate, support and recognise staff and students skills development in OS and RDM.
The specific aims are divided on project target groups, centered around MSc & PhD Students, Early Stage Researchers (ESR), Trainers, and Research Community Stakeholders in general.
The following intellectual outputs, learning/teaching/training activities and multiplier events are to be developed/organized during the project lifetime:
INTELLECTUAL OUTPUTS:
IO1: OS & RDM Training Methodological Toolkit
IO2: Joint Design of Training Programme on OS and RDM
IO3: Distributed eLearning Training Platform for OS and RDM.
LEARNING/TEACHING/TRAINING ACTIVITIES
LTTA C1: Train the Trainers Winter Week
LTTA C2: Students Summer School
LTTA C3: Early Stage Researchers Training Week
MULTIPLIER EVENT
E1: Final conference

The Consortium is built on a solid partnership, with all participants having already participated in common projects and initiatives, and therefore having strong institutional and personal links that will allow a quick start of the project activities without any time lost for debating on different management and implementation matters. Between UPB and ICI there is a long-lasting relationship of joint participation in research projects and activities. UPB and NCI previously participated together in the cHiPSet COST Action or the vINCI AAL project. NCI and DTSL are longtime partners in Ireland. UPB and TUWien are members of the Task Force for Research Data Management established at the CESAER association (Association of Technical Universities of Europe), where the institutions jointly participate in the elaboration of CAESAR documents and positions on Open Data, Open Access, RDM. Finally, UPB and Sapienza have collaborated previously in many joint actions on research as well as in education and training, including in Erasmus+. Thus, there is no risk that the institutions participating here will not find grounds for collaborations, they have a strong relationship and will quickly setup the collaboration needed to advance this project. In particular, one of the first things is the setup of a harmonization between the local curricula and finding grounds for ESR exchanges between the partners. This is quite easy, because the institutions already collaborate, and researchers already participated in the past in joint short-term scientific missions between the consortium partners.

EU Grant (Eur)

Funding of the project from EU: 304472 Eur

Project Coordinator

UNIVERSITATEA POLITEHNICA DIN BUCURESTI & Country: RO

Project Partners

• UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
• Digital Technology Skills Limited
• TECHNISCHE UNIVERSITAET WIEN
• INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE IN INFORMATICA ICI BUCURESTI RA
• NATIONAL COLLEGE OF IRELAND