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== 5.0 OS skills for RIs and thematic communities ==

'''Objective(s):'''

'''Ingår i work package (WP):''' 

'''WP Leader:''' [[Skills4EOSC/organisationer-och-stakeholders/OPERAS | OPERAS]]

'''Task leader:'''

'''Bidragande organisationer:''' [[Skills4EOSC/organisationer-och-stakeholders/OPERAS | OPERAS]], [[Skills4EOSC/organisationer-och-stakeholders/M3-36 | M3-36]], [[Skills4EOSC/organisationer-och-stakeholders/UNIMIB | UNIMIB]], [[Skills4EOSC/organisationer-och-stakeholders/EPOS| EPOS]], [[Skills4EOSC/organisationer-och-stakeholders/UNITN | UNITN]], [[Skills4EOSC/organisationer-och-stakeholders/NHMW | NHMW]]

'''Relaterade organisationer och initiativ:''' [https://ritrainplus.eu/ RITRAINplus], ESMRI, InfraUNIMIB2, UiB3

'''I Sverige:'''

== WP objectives ==
(a) Design harmonised learning paths in Open Science and Research Data Management for RI professionals
(b) Design and deliver advanced Open Science and Research Data Management courses tailored on the specific training needs of the scientific communities addressed by the four use cases to draft recommendations for other discipline oriented courses.
(c) Model the collaboration between national/regional competence centres and thematic communities/infrastructures, highlighting challenges and opportunities.

== Beskrivning av WP eller task ==
'''Från Grant agreement (GA):'''

T5.1 OS and RDM skills for Research Infrastructures professionals (M3-36, UNIMIB) This task will design Open Science and FAIR RDM modules to be included in the curricula of RI professionals. This work will be done in
collaboration with RITRAINplus project1, aiming at creating an European School for Management of Research Infrastructures (ESMRI). This link is possible thanks to the task leader who is also coordinating the RITRAINplus project. The Modules will include learning material to be embedded into the courses in ESMRI. ToT sessions will be delivered to up skill competence centre experts in the training of RI professionals for Open Science related aspects. Pilots will be organised in collaboration with ESMRI. This task will also liaise with Institutional initiatives such as InfraUNIMIB2 at UNIMIB and the Research Infrastructure Network at UiB3 to strengthen both a FAIR/RRI/Open Science through RIs and participatory training paths.

T5.2 OS and RDM in the Social Sciences and Humanities (M3-36, OPERAS) In this task specific learning paths on OS and FAIR RDM for those researchers working in the social sciences and humanities area will be designed, together with the related learning material. OPERAS experts will work closely with Open Science experts in the Skills4EOSC Competence Centre Network to co-design the learning paths and material. This task will build on the experience gained through the course OPERAS, the Italian Competence Centre and EOSC-Pillar realised in June 2021, targetting researchers in the Humanities and cultural heritage domains4. ToT will ensure skilled professionals enabling the practice of Open Science with adequate and tailored knowledge of standards, applications, tools and best practices for delivering, managing, re-using, sharing and analysing FAIR data, as well as other digital research objects; pilots will be delivered to ensure the design high quality.

T5.3 OS and RDM in the Solid Earth sciences (M3-36, EPOS) In this task, specific learning paths on OS and FAIR RDM will be designed and implemented for researchers working in solid Earth sciences , together with related learning material. By building on the experience gained by EPOS in engaging the solid Earth scientific community and in the Open Science Courses recently delivered in collaboration with EOSC-Pillar and Open Science experts of the Italian Competence Centre, we will effectively implement FAIR learning material in solid Earth science. This task will also contribute to the Skills4EOSC Competence Center, empowering experts with tailored skillsto help them practice of Open Science with adequate knowledge of domain standards, applications, tools and relevant best practices for delivering, managing, re-using, sharing and analysing FAIR data, . Pilots will be run to test the course.

T5.4. OS and RDM in Climate Change (M3-36, UNITN) In this task, specific learning paths on OS and FAIR RDM for those researchers working in the climate change domain will be designed, together with the related learning material. Community experts from academia and research centres will work closely with Open Science experts based in the Skills4EOSC Competence Centre network to design the course. This task will also build on partners experience on data science training in the context of large-scale European projects like IS-ENES35 and the Centre of Excellence in Simulation of Weather and Climate in Europe (ESiWACE26), thus ensuring a close link with the European Network for EarthSystem modelling (ENES7) community.ToT will enable the practice of OpenScience in the climate change domain with adequate knowledge of standards, applications and tools and relevant best practices for delivering, managing, re-using, sharing and analysing FAIR data, as well as other digital research objects. Pilots will be organised to test the course. Besides the partners involved into this task, open science experts from ENES will be invited to contribute to the proposed training activities as invited lecturers.

T5.5 OS and RDM skills for Open Scientific Collections (M3-36, NHMW) Every year 70 million euros are spent to send approximately 800.000 specimens from museum collections to researchers who need to study them8. This task will make an important contribution towards sustainability of museum collections through digitisation and FAIRification of these into the so called “Open Collections”. The task will build on the workflows deriving from Synthesis13 Virtual Access and liaise with the Distributed System of Scientific Collections (DISSCO12) to co-design training courses targeting data curators and data scientists. Participants will gain skills needed to digitise and FAIRify the collections: they will learn about standards to automatically update taxonomic, geographic, or provenance data, visualise data and realise sustainable repositories. ToT sessions and pilots will be run accordingly to Skills4EOSC methodology.

T5.6 ELSI aspect in Open Science for Thematic Communities and Research Infrastructure professionals (M3-36, KUL) This task will integrate the learning paths defined in WP5 to include ELSI elements. This task will complement the learning material defined in T5.1-T5.5 to address aspects related, but not limited, to IPR, PSI, open data, licensing, as well as responsible and participatory approach to research and integrity. This task will also analyse the complexity and challenges to address ELSI aspects when addressing Open Science and data management and sharing practices in communities that have a strong national dimension but are also included in European and international context, as the ones addressed by the use cases selected in WP5.

T5.7 Thematic trainings recommendations (M3-36, OPERAS) This task will build on the outcomes of WP5 previous tasks to draft recommendations on how to realise training to effectively embed OS and FAIR RDM practices in the research workflow. This task will analyse and model the collaboration between national/regional competence centres and thematic communities/infrastructures, highlighting challenges and opportunities.The recommendations released will address the design of OS courses targeting a specific research communities and how these can be developed in a collaboration effort between Open Sci experts and domain Research Infrastructures.

For the tasks 5.1, 5.2, 5.3, 5.4, 5.5, and 5.6, the use of subcontracts for the recruitment of expert trainers and other experts is also envisaged in order to enrich the project training and advisory offer.

== Leveranser ==

== Länkar och listor ==

[[Skills4EOSC | Huvudsida: Skills4EOSC]]

[[Skills4EOSC/mål-objectives | Lista: Objectives]]

[[Skills4EOSC/WP | Lista: Arbetspaket (Work packages, WP)]]

[[Skills4EOSC/organisationer-och-stakeholders | Lista: Organisationer och stakeholders]]

[[Skills4EOSC/termerochforkortningar | Ordlista: Termer, förkortningar och nyckelord]]