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

Informazioni relative al progetto

TIER2

ID dell’accordo di sovvenzione: 101094817

DOI

10.3030/101094817

Data della firma CE 7 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

• Reforming and enhancing the European R&I System

Costo totale

€ 1 791 500,00

Contributo UE

€ 1 791 500,00

Coordinato da

KNOW CENTER RESEARCH GMBH
Austria

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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)

Pubblicazioni

Other (8)

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

Autori: Joeri Tijdink, Barbara Leitner, Serge Horbach, Nicki Lisa Cole, Tony Ross-Hellauer, Simone Kopeinik
Pubblicato in: 2023

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

Autori: 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
Pubblicato in: 2024
Editore: Center for Open Science
DOI: 10.31222/OSF.IO/A8RMU

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

Autori: Nicki Lisa Cole, Sven Ulpts, Tony Ross-Hellauer, Agata Bochynska, Thomas Klebel
Pubblicato in: 2023
Editore: OSF
DOI: 10.17605/OSF.IO/Q4XWK

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

Autori: Nicki Lisa Cole, Sven Ulpts, Tony Ross-Hellauer, Agata Bochynska, and Thomas Klebel
Pubblicato in: 2023
Editore: OSF
DOI: 10.17605/OSF.IO/Q4XWK

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

Autori: 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
Pubblicato in: 2025
Editore: OSF

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

Autori: Sven Ulpts, Jesper W. Schneider
Pubblicato in: MetaArXiv Preprints, 2023
Editore: 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

Autori: Adamidi, Eleni, Deligiannis, Panagiotis, Mastoraki, Aikaterina, Vergoulis, Thanasis
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.11200097

Reproducibility in Machine Learning-Driven Research

Autori: Harald Semmelrock, Simone Kopeinik, Dieter Theiler, Tony Ross-Hellauer, Dominik Kowald
Pubblicato in: arXiv, 2023, ISSN 2331-8422
Editore: arXiv
DOI: 10.48550/arXiv.2307.10320

Peer reviewed articles (5)

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

Autori: 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
Pubblicato in: Research Ideas and Outcomes, Numero 8, 2022, ISSN 2367-7163
Editore: Pensoft Publishers
DOI: 10.3897/rio.8.e98457

Strategic priorities for reproducibility reform

Autori: Tony Ross-Hellauer
Pubblicato in: PLoS Bio, Numero 21, 2023, ISSN 1544-9173
Editore: 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]

Autori: 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
Pubblicato in: Open Res Europe, Numero 3, 2023, ISSN 2732-5121
Editore: European Commission
DOI: 10.17605/OSF.IO/D65YS

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

Autori: Mohammad Hosseini, Serge P. J. M. Horbach, Kristi Holmes, Tony Ross-Hellauer
Pubblicato in: Quantitative Science Studies, Numero 6, 2025, ISSN 2641-3337
Editore: MIT Press
DOI: 10.1162/QSS_A_00337

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

Autori: Harald Semmelrock, Tony Ross‐Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, Dominik Kowald
Pubblicato in: AI Magazine, Numero 46, 2025, ISSN 0738-4602
Editore: Wiley
DOI: 10.1002/AAAI.70002

Conference proceedings (5)

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

Autori: Petros Stavropoulos, Ioannis Lyris, Natalia Manola, Ioanna Grypari, Haris Papageorgiou
Pubblicato in: 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS), Numero 3, 2023
Editore: 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 """

Autori: Thomas Klebel, Federico Bianchi, Tony Ross-Hellauer, Flaminio Squazzoni
Pubblicato in: 27th International Conference on Science, Technology and Innovation Indicators (STI 2023), 2023
Editore: 27th International Conference on Science, Technology and Innovation Indicators (STI 2023)

Collaborating for reproducibility: How can we work together better?

Autori: Tony Ross-Hellauer, Rebecca Taylor-Grant, Matthew Cannon, Becky Hill
Pubblicato in: Septentrio Conference Series, 2024, ISSN 2387-3086
Editore: UiT The Arctic University of Norway
DOI: 10.7557/5.7788

Making reproducibility a reality by 2035?

Autori: Rebecca Taylor-Grant, Matthew Cannon, Allyson Lister, Susanna-Assunta Sansone
Pubblicato in: International Journal of Digital Curation, Numero 19, 2025, ISSN 1746-8256
Editore: University of Edinburgh
DOI: 10.2218/IJDC.V19I1.1064

A Virtual Laboratory for Managing Computational Experiments

Autori: Eleni Adamidi, Panayiotis Deligiannis, Nikos Foutris, Thanasis Vergoulis
Pubblicato in: Proceedings of the 37th International Conference on Scalable Scientific Data Management, 2025
Editore: ACM
DOI: 10.1145/3733723.3733743