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@TECHREPORT{Grigorov:1028374,
author = {Grigorov, Ivo and Carvalho, Jose and Ball, David and
Bjørnshauge, Lars and Cancillieri, Matthew and Davidson,
Joy and Dazy, Andre and Donnelly, Martin and Franck, Gwen
and Hjubers, Leon and Jones, Sarah and Knoth, Peter and
Kuchma, Iryna and Melero, Reme and North, Dan and Orth,
Astrid and Pontika, Nancy and Reilly, Susan and Rodrigues,
Eloy and Schmidt, Birgitt and Swan, Alma},
title = {{F}oster {O}pen {S}cience {L}earning {O}bjectives},
publisher = {Zenodo},
reportid = {FZJ-2024-04555},
year = {2015},
abstract = {EXECUTIVE Summary This brief outlines simplified Open
Science Learning Objectives for the main stakeholders in the
Research Ecosystem. Learning Objectives are structured by
Open Science Topics according to a functional Open Science
Taxonomy (Pontica et al., 2015), that accompany the main
responsibilities of each stakeholders along the Research
Lifecycle. The ultimate objective is to support the
integration of Open Science best practices into the daily
routine of performing and supporting research, to underpin
implementation of Horizon 2020 Mandate on Access to
Scientific Information, and augment the “societal
impact” and uptake of research, for the benefit of all
stakeholders in the knowledge creation process (ultimately
underpinning “co-creation”). Specific Learning
Objectives are structured in increasing level of competence,
frequently ending with successful integration of Open
Science best practices in the daily research routine,
facilitating self-assessment of the personal workflow. The
Learning Objectives can provide a backbone for a structured
learning plan for Doctoral Schools with the ambition to
train future researchers in optimizing their societal
impact, alongside research excellence training, as well as
preparing graduates for new and emerging research impact
measures and criteria. Support with relevant training
content will be provided in parallel through the FOSTER
Portal and accompanying e-Learning and self-learning
modules. The brief draws on FP7 FOSTER Work Packages 2
Content, WP3 Portal (Open Science Taxonomy, and learning
portal infrastructure) and WP4 Training (Deliverable D4.5
Training ToolKit). RATIONALE: The political drive for
Open Science from the funding agency (EC[1]) point of view
is mainly Return On Investment (ROI), ethics (taxpayer
access to public funded research), and stimulating Open
Innovation[2] through free-flow of ideas in order to boost
economic growth through transfer of knowledge to the
knowledge-based Small/Medium Enterprises (SMEs). The Open
Science community of advocates and practitioners a diverse
one, spanning the full breadth of research disciplines, as
well as a range of stakeholders with various vested
interests and roles in the research process. The cumulative
effect is that there is a rich diversity of strong reasons
for and against making “Open Science” the default
setting in the research process. Consultation by FP7 FOSTER
of 90 researchers from various disciplines (Fig. 1;
attendees of the EuroScience Open Forum, Copenhagen 2014 [1]
) lists reasons in favour: ethics, return on investment,
societal impact, transparency, rigor and reproducibility;
and objections: national security, patient data,
confidential data, patent exploitation [2] . Although most
are valid, it is beyond the scope of FP7 FOSTER to provide
the definitive summary of training content, or learning
objectives, in order to address such a diversity of
discipline-specific cases, and arguments. The objective of
this document is to support the implementation of the
Horizon 2020 Mandate, and focus on research data and
knowledge at the time of generation, by: (1) reducing the
arguments in favour of adopting Open Science practices to
those lowest common denominators that are most
Target-centric and discipline-agnostic and offer the highest
scalling capacity beyond the lifetime of FP7 FOSTER, (2)
listing the minimal competencies per Target Group required
to comply with the Horizon 2020 Mandate and fully capitalize
on Open Science potential , in the form of modular Learning
Objectives, with gradually increasing level of
understanding, and (3) support these Learning Objectives
with minimum critical (not exhaustive!) content (WP2 Content
Mapping), e-infrastructure (WP3 Portal) and actual Training
ToolKit $\&$ HelpDesk support (WP4 Training). The document
is based on significant feedback from attendees and
organizers of FP7 FOSTER Calendar of Training Events
throughout 2014 and 2015, that informs the formulation of
the learning objectives below [3] . [1] Thorhauge, Thomas
et al., 2014. Should Science Always be OPEN?, DOI
10.5281/zenodo.10658 [2] Guidelines on Data Management in
Horizon 2020 http://ec.europa.eu/research/.../ data /ref/...
pilot /h2020-hi-oa- data $-mgt_en.pdf$ [3] FOSTER Events
https://www.fosteropenscience.eu/events [1] EC Open
Science Agenda
https://ec.europa.eu/digital-agenda/en/open-science [2] ERA
of Innovation
http://ec.europa.eu/research/conferences/2015/era-of-innovation/index.cfm},
keywords = {open science (Other) / return on investment (Other) /
learning objectives (Other) / graduate training (Other) /
graduate skills (Other) / soft skills (Other) / societal
impact (Other) / REF (Other)},
typ = {PUB:(DE-HGF)29},
doi = {10.5281/zenodo.15603},
url = {https://juser.fz-juelich.de/record/1028374},
}