TIER2: ENHANCING TRUST, INTEGRITY AND EFFICIENCY IN RESEARCH THROUGH NEXT-LEVEL REPRODUCIBILITY IMPACT PATHWAYS

Informations projet

TIER2

N° de convention de subvention: 101094817

DOI

10.3030/101094817

Projet clôturé

Date de signature de la CE 7 Novembre 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2025

Financé au titre de

• Reforming and enhancing the European R&I System

Coût total

€ 1 791 500,00

Contribution de l’UE

€ 1 791 500,00

Coordonné par

KNOW CENTER RESEARCH GMBH
Austria

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (4)

Stakeholder Communication & Engagement Plan

Report outlining stakeholder groups and targeted engagement activities. Monitoring and documentation of communication and outreach activities.

Future reproducibility across epistemic contexts: Report on future studies/backcasting outcomes

Report synthesising outcomes of Task 4.1 (Future studies to identify priorities from the stakeholder community to predict future of reproducibility and identify actionable steps)

Project handbook (including management, research integrity & quality assurance plans)

Report describing project processes on basis of roles and responsibilities assigned in Section 3.2 of this document, along with description of relevant tools to be used for reporting and management of the project as well as measures to ensure the high quality of the project´s results.

Policy Briefing 1

Short Policy Briefing deliverable before the end of the first reporting period

Data Management Plan (1)

Data Management Plan

DMP documents the types of data the project will generate or collect, the standards and platforms that will be used for storage and processing, measures to assure legal compliance (with, e.g., GDPR), and a plan for how these data will be curated and preserved to enable maximal future exploitation, sharing and re-use. (First version – an update D1.2b also due M18)

Publications

Other (8)

Future Studies - The Future(s) of Reproducibility in Research

Auteurs: Joeri Tijdink, Barbara Leitner, Serge Horbach, Nicki Lisa Cole, Tony Ross-Hellauer, Simone Kopeinik
Publié dans: 2023

Open Science interventions to improve reproducibility and replicability of research: a scoping review preprint

Auteurs: Leonie Dudda, Eva Kormann, Magdalena Kozula, Nicholas J DeVito, Thomas Klebel, Ayu Putu Madri Dewi, René Spijker, Inge Stegeman, Veerle Van den Eynden, Tony Ross-Hellauer, Mariska Leeflang
Publié dans: 2024
Éditeur: Center for Open Science
DOI: 10.31222/OSF.IO/A8RMU

Integrative review of conceptions and facilitators of and barriers to reproducibility of qualitative research

Auteurs: Nicki Lisa Cole, Sven Ulpts, Tony Ross-Hellauer, Agata Bochynska, Thomas Klebel
Publié dans: 2023
Éditeur: OSF
DOI: 10.17605/OSF.IO/Q4XWK

Integrative review of conceptions and facilitators of and barriers to reproducibility of qualitative research

Auteurs: Nicki Lisa Cole, Sven Ulpts, Tony Ross-Hellauer, Agata Bochynska, and Thomas Klebel
Publié dans: 2023
Éditeur: OSF
DOI: 10.17605/OSF.IO/Q4XWK

Enhancing Research Reproducibility TIER2’s Contributions to the European Open Science Cloud (EOSC)

Auteurs: Stefania Amodeo, Tony Ross-Hellauer, Natalia Manola, Susanna-Assunta Sansone, Allyson Lister, Eleni Adamidi, Barbara Leitner, Fakhri Momeni, Jesper W. Schneider, Elli Papadopoulou, Thanasis Vergoulis
Publié dans: 2025
Éditeur: OSF

Knowledge Production Modes: The Relevance and Feasibility of ‘Reproducibility’

Auteurs: Sven Ulpts, Jesper W. Schneider
Publié dans: MetaArXiv Preprints, 2023
Éditeur: The Berkeley Initiative for Transparency in the Social Sciences (BITSS)
DOI: 10.31222/OSF.IO/UJND9

Proposing a New RO-Crate Profile for Enhanced Reproducibility in Computational Experiments

Auteurs: Adamidi, Eleni, Deligiannis, Panagiotis, Mastoraki, Aikaterina, Vergoulis, Thanasis
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.11200097

Reproducibility in Machine Learning-Driven Research

Auteurs: Harald Semmelrock, Simone Kopeinik, Dieter Theiler, Tony Ross-Hellauer, Dominik Kowald
Publié dans: arXiv, 2023, ISSN 2331-8422
Éditeur: arXiv
DOI: 10.48550/arXiv.2307.10320

Peer reviewed articles (8)

TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility

Auteurs: Tony Ross-Hellauer, Thomas Klebel, Alexandra Bannach-Brown, Serge P.J.M. Horbach, Hajira Jabeen, Natalia Manola, Teodor Metodiev, Haris Papageorgiou, Martin Reczko, Susanna-Assunta Sansone, Jesper Schneider, Joeri Tijdink, Thanasis Vergoulis
Publié dans: Research Ideas and Outcomes, Numéro 8, 2022, ISSN 2367-7163
Éditeur: Pensoft Publishers
DOI: 10.3897/rio.8.e98457

Strategic priorities for reproducibility reform

Auteurs: Tony Ross-Hellauer
Publié dans: PLoS Bio, Numéro 21, 2023, ISSN 1544-9173
Éditeur: Public Library of Science
DOI: 10.17605/OSF.IO/PXMNJ

Scoping review and evidence mapping of interventions aimed at improving reproducible and replicable science: Protocol [version 1; peer review: 1 approved with reservations]

Auteurs: Leonie A. Dudda, Magdalena Kozula, Tony Ross-Hellauer, Eva Kormann, René Spijker, Nicholas DeVito, Gowri Gopalakrishna, Veerle Van den Eynden, Patrick Onghena, Florian Naudet, Rita Banzi, Maddalena Fratelli, Monika Varga, Yuri Andrei Gelsleichter, Inge St
Publié dans: Open Res Europe, Numéro 3, 2023, ISSN 2732-5121
Éditeur: European Commission
DOI: 10.17605/OSF.IO/D65YS

Open science interventions to improve reproducibility and replicability of research: a scoping review

Auteurs: Leonie Dudda, Eva Kormann, Magdalena Kozula, Nicholas J. DeVito, Thomas Klebel, Ayu P. M. Dewi, René Spijker, Inge Stegeman, Veerle Van den Eynden, Tony Ross-Hellauer, Mariska M. G. Leeflang
Publié dans: Royal Society Open Science, Numéro 12, 2025, ISSN 2054-5703
Éditeur: The Royal Society
DOI: 10.17605/OSF.IO/AF6VH

Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers

Auteurs: Harald Semmelrock, Tony Ross‐Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, Dominik Kowald
Publié dans: AI Magazine, Numéro 46, 2025, ISSN 0738-4602
Éditeur: Wiley
DOI: 10.1002/AAAI.70002

The paradox of competition: How funding models could undermine the uptake of data sharing practices

Auteurs: Thomas Klebel, Federico Bianchi, Tony Ross-Hellauer, Flaminio Squazzoni
Publié dans: Research Policy, Numéro 54, 2025, ISSN 0048-7333
Éditeur: Elsevier BV
DOI: 10.31222/OSF.IO/GB4V2

Open Science at the generative AI turn: An exploratory analysis of challenges and opportunities

Auteurs: Mohammad Hosseini, Serge P. J. M. Horbach, Kristi Holmes, Tony Ross-Hellauer
Publié dans: Quantitative Science Studies, Numéro 6, 2025, ISSN 2641-3337
Éditeur: MIT Press
DOI: 10.1162/QSS_A_00337

Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers

Auteurs: Harald Semmelrock, Tony Ross‐Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, Dominik Kowald
Publié dans: AI Magazine, Numéro 46, 2025, ISSN 0738-4602
Éditeur: Wiley
DOI: 10.1002/AAAI.70002

Conference proceedings (5)

Empowering Knowledge Discovery from Scientific Literature: A novel approach to Research Artifact Analysis

Auteurs: Petros Stavropoulos, Ioannis Lyris, Natalia Manola, Ioanna Grypari, Haris Papageorgiou
Publié dans: 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS), Numéro 3, 2023
Éditeur: Association for Computational Linguistics
DOI: 10.18653/V1/2023.NLPOSS-1.5

"""Modelling the effect of funding selectivity on the uptake of data sharing in the academic community """

Auteurs: Thomas Klebel, Federico Bianchi, Tony Ross-Hellauer, Flaminio Squazzoni
Publié dans: 27th International Conference on Science, Technology and Innovation Indicators (STI 2023), 2023
Éditeur: 27th International Conference on Science, Technology and Innovation Indicators (STI 2023)

Collaborating for reproducibility: How can we work together better?

Auteurs: Tony Ross-Hellauer, Rebecca Taylor-Grant, Matthew Cannon, Becky Hill
Publié dans: Septentrio Conference Series, 2024, ISSN 2387-3086
Éditeur: UiT The Arctic University of Norway
DOI: 10.7557/5.7788

Making reproducibility a reality by 2035?

Auteurs: Rebecca Taylor-Grant, Matthew Cannon, Allyson Lister, Susanna-Assunta Sansone
Publié dans: International Journal of Digital Curation, Numéro 19, 2025, ISSN 1746-8256
Éditeur: University of Edinburgh
DOI: 10.2218/IJDC.V19I1.1064

A Virtual Laboratory for Managing Computational Experiments

Auteurs: Eleni Adamidi, Panayiotis Deligiannis, Nikos Foutris, Thanasis Vergoulis
Publié dans: Proceedings of the 37th International Conference on Scalable Scientific Data Management, 2025
Éditeur: ACM
DOI: 10.1145/3733723.3733743