improving Reproducibility In SciencE

Acronym

iRISE

Description of the granted funding

Structured understanding of the drivers of irreproducibility and presenting concrete solutions of tools and interventions will help to increase the quality, reliability and re-usability of scientific evidence. To this end, iRISE proposes to provide theoretical and empirical evidence of the effectiveness of specific interventions, and a framework for a robust, evidence-based road map for the development, assessment and implementation of interventions intended to improve reproducibility. iRISE brings together qualitative and quantitative expertise, from academia and SMEs, including meta-science, statistics, economics, artificial intelligence, research ethics and integrity, quality assurance, and project management. iRISE proposes the development of a general framework for diagnosing and addressing reproducibility problems using analytical and computational modelling, simulations and meta-studies. Data on existing interventions will be systematically curated and evaluated, and stakeholders will be consulted to collaboratively identify practices and tools that should be prioritised for implementation. iRISE proposes to conduct empirical studies of both technical and practice-based solutions to increase reproducibility. Across all iRISE activities, the influences of research culture will be investigated, with a focus on mainstreaming systematic integration of equity, diversity and inclusion practices. A comprehensive Stakeholder Forum will be engaged to provide advice, and iRISE will commit to open and reproducible practices. The different types of evidence generated will be integrated into an open knowledge base to support the community in decision-making to identify, test, and implement effective and feasible solutions for reproducibility. The members of iRISE have made pivotal scientific and policy contributions relating to robustness, rigour and reproducibility in the past and have the skills and tools to succeed in this ambitious project that has potential scientific, economic and societal gains both in Europe and beyond.
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Starting year

2023

End year

2026

Granted funding

55 875 €
Third party
MILLER INTERNATIONAL KNOWLEDGE SL (ES)
100 810 €
Participant
GUARANTORS OF EQIPD E.V. (DE)
136 875 €
Participant
STICHTING RADBOUD UNIVERSITAIR MEDISCH CENTRUM (NL)
183 483.75 €
Participant
EATRIS ERIC (NL)
101 250 €
Participant
SVEUCILISTE U SPLITU MEDICINSKI FAKULTET (HR)
162 250 €
Participant
UNIVERSITY OF CYPRUS (CY)
64 072.5 €
Participant
HERIOT-WATT UNIVERSITY (UK)
Participant
STICHTING KATHOLIEKE UNIVERSITEIT BRABANT (NL)
39 543.75 €
Participant
THE UNIVERSITY OF EDINBURGH (UK)
Participant
UNIVERSITEIT MAASTRICHT (NL)
36 806.25 €
Participant
UNIVERSITAT ZURICH (CH)
Participant
UNIVERSITAET BERN (CH)
Participant
KAROLINSKA INSTITUTET (SE)
225 000 €
Participant
CHARITE - UNIVERSITAETSMEDIZIN BERLIN (DE)
340 805 €
Coordinator

Amount granted

1 446 771 €

Funder

European Union

Funding instrument

HORIZON Research and Innovation Actions

Framework programme

Horizon Europe (HORIZON)

Call

Programme part
Reforming and enhancing the European R&I System (11758)
Open science (11762)
Topic
Increasing the reproducibility of scientific results (HORIZON-WIDERA-2022-ERA-01-41)
Call ID
HORIZON-WIDERA-2022-ERA-01

Other information

Funding decision number

101094853

Identified topics

computer science, information science, algorithms