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

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TLDR
The TIER2 project as mentioned in this paper is a new international project funded by the European Commission under their Horizon Europe programme, covering three broad research areas (social, life and computer sciences) and two stakeholder groups (research publishers and funders) to systematically investigate reproducibility across contexts.
Abstract
Lack of reproducibility of research results has become a major theme in recent years. As we emerge from the COVID-19 pandemic, economic pressures and exposed consequences of lack of societal trust in science make addressing reproducibility of urgent importance. TIER2 is a new international project funded by the European Commission under their Horizon Europe programme. Covering three broad research areas (social, life and computer sciences) and two cross-disciplinary stakeholder groups (research publishers and funders) to systematically investigate reproducibility across contexts, TIER2 will significantly boost knowledge on reproducibility, create tools, engage communities, implement interventions and policy across different contexts to increase re-use and overall quality of research results in the European Research Area and global R&I, and consequently increase trust, integrity and efficiency in research.

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References
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Journal ArticleDOI

Systematic Review: Process of Forming Academic Service Partnerships to Reform Clinical Education

TL;DR: This study’s findings can provide practical guidelines to steer partnership programs within the academic and clinical bodies, with the aim of providing a collaborative partnership approach to clinical education.
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The FAIR Guiding Principles for scientific data management and stewardship

TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
Journal ArticleDOI

Estimating the reproducibility of psychological science

Alexander A. Aarts, +290 more
- 28 Aug 2015 - 
TL;DR: A large-scale assessment suggests that experimental reproducibility in psychology leaves a lot to be desired, and correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
Journal ArticleDOI

1,500 scientists lift the lid on reproducibility

Monya Baker
- 26 May 2016 -