TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility
Tony Ross-Hellauer,Thomas Klebel,Alexandra Bannach-Brown,Serge Horbach,Hajira Jabeen,Natalia Manola,Teodor Metodiev,Harris Papageorgiou,Martin Reck,Susanna-Assunta Sansone,Jesper W. Schneider,Joeri K. Tijdink,Thanasis Vergoulis +12 more
Reads0
Chats0
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.read more
References
More filters
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.
Journal ArticleDOI
The FAIR Guiding Principles for scientific data management and stewardship
Mark Wilkinson,Michel Dumontier,IJsbrand Jan Aalbersberg,Gabrielle Appleton,Myles Axton,Arie Baak,Niklas Blomberg,Jan-Willem Boiten,Luiz Olavo Bonino da Silva Santos,Philip E. Bourne,Jildau Bouwman,Anthony J. Brookes,Timothy Clark,Mercè Crosas,Ingrid Dillo,Olivier G. Dumon,Scott C. Edmunds,Chris T. Evelo,Richard Finkers,Alejandra Gonzalez-Beltran,Alasdair J. G. Gray,Paul Groth,Carole Goble,Jeffrey S. Grethe,Jaap Heringa,Peter A C 't Hoen,Rob Hooft,Tobias Kuhn,Ruben Kok,Joost N. Kok,Scott J. Lusher,Maryann E. Martone,Albert Mons,Abel L. Packer,Bengt Persson,Philippe Rocca-Serra,Marco Roos,Rene van Schaik,Susanna-Assunta Sansone,Erik Anthony Schultes,Thierry Sengstag,Ted Slater,George Strawn,Morris A. Swertz,Mark Thompson,Johan van der Lei,Erik M. van Mulligen,Jan Velterop,Andra Waagmeester,Peter Wittenburg,Katherine Wolstencroft,Jun Zhao,Barend Mons,Barend Mons +53 more
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,Joanna E. Anderson,Christopher J. Anderson,Peter Raymond Attridge,Peter Raymond Attridge,Angela S. Attwood,Jordan Axt,Molly Babel,Štěpán Bahník,Erica Baranski,Michael Barnett-Cowan,Elizabeth Bartmess,Jennifer S. Beer,Raoul Bell,Heather Bentley,Leah Beyan,Grace Binion,Grace Binion,Denny Borsboom,Annick Bosch,Frank A. Bosco,Sara Bowman,Mark J. Brandt,Erin L Braswell,Hilmar Brohmer,Benjamin T. Brown,Kristina G. Brown,Jovita Brüning,Jovita Brüning,Ann Calhoun-Sauls,Shannon P. Callahan,Elizabeth Chagnon,Jesse Chandler,Jesse Chandler,Christopher R. Chartier,Felix Cheung,Felix Cheung,Cody D. Christopherson,Linda Cillessen,Russ Clay,Hayley M. D. Cleary,Mark D. Cloud,Michael Conn,Johanna Cohoon,Simon Columbus,Andreas Cordes,Giulio Costantini,Leslie Cramblet Alvarez,Ed Cremata,Jan Crusius,Jamie DeCoster,Michelle A. DeGaetano,Nicolás Delia Penna,Bobby Den Bezemer,Marie K. Deserno,Olivia Devitt,Laura Dewitte,David G. Dobolyi,Geneva T. Dodson,M. Brent Donnellan,Ryan Donohue,Rebecca A. Dore,Angela Rachael Dorrough,Angela Rachael Dorrough,Anna Dreber,Michelle Dugas,Elizabeth W. Dunn,Kayleigh E Easey,Sylvia Eboigbe,Casey Eggleston,Jo Embley,Sacha Epskamp,Timothy M. Errington,Vivien Estel,Frank J. Farach,Jenelle Feather,Anna Fedor,Belén Fernández-Castilla,Susann Fiedler,James G. Field,Stanka A. Fitneva,Taru Flagan,Amanda L. Forest,Eskil Forsell,Joshua D. Foster,Michael C. Frank,Rebecca S. Frazier,Heather M. Fuchs,Philip A. Gable,Jeff Galak,Elisa Maria Galliani,Anup Gampa,Sara García,Douglas Gazarian,Elizabeth Gilbert,Roger Giner-Sorolla,Andreas Glöckner,Andreas Glöckner,Lars Goellner,Jin X. Goh,Rebecca M. Goldberg,Patrick T. Goodbourn,Shauna Gordon-McKeon,Bryan Gorges,Jessie Gorges,Justin Goss,Jesse Graham,James A. Grange,Jeremy R. Gray,Chris H.J. Hartgerink,Joshua K. Hartshorne,Fred Hasselman,Timothy Hayes,Emma Heikensten,Felix Henninger,Felix Henninger,John Hodsoll,Taylor Holubar,Gea Hoogendoorn,Denise J. Humphries,Cathy On-Ying Hung,Nathali Immelman,Vanessa C. Irsik,Georg Jahn,Frank Jäkel,Marc Jekel,Magnus Johannesson,Larissa Gabrielle Johnson,David J. Johnson,Kate M. Johnson,William J. Johnston,Kai J. Jonas,Jennifer A. Joy-Gaba,Heather Barry Kappes,Kim Kelso,Mallory C. Kidwell,Seung K. Kim,Matthew W. Kirkhart,Bennett Kleinberg,Bennett Kleinberg,Goran Knežević,Franziska Maria Kolorz,Jolanda J. Kossakowski,Robert Krause,Job Krijnen,Tim Kuhlmann,Yoram K. Kunkels,Megan M. Kyc,Calvin K. Lai,Aamir Laique,Daniel Lakens,Kristin A. Lane,Bethany Lassetter,Ljiljana B. Lazarević,Etienne P. Le Bel,Key Jung Lee,Minha Lee,Kristi M. Lemm,Carmel A. Levitan,Melissa Lewis,Lin Lin,Stephanie C. Lin,Matthias Lippold,Darren Loureiro,Ilse Luteijn,Sean P. Mackinnon,Heather N. Mainard,Denise C. Marigold,Daniel P. Martin,Tylar Martinez,E. J. Masicampo,Joshua J. Matacotta,Maya B. Mathur,Michael May,Michael May,Nicole Mechin,Pranjal H. Mehta,Johannes M. Meixner,Johannes M. Meixner,Alissa Melinger,Jeremy K. Miller,Mallorie Miller,Katherine Moore,Katherine Moore,Marcus Möschl,Matt Motyl,Stephanie M. Müller,Marcus R. Munafò,Koen Ilja Neijenhuijs,Taylor Nervi,Gandalf Nicolas,Gustav Nilsonne,Gustav Nilsonne,Brian A. Nosek,Brian A. Nosek,Michèle B. Nuijten,Catherine Olsson,Catherine Olsson,Colleen Osborne,Lutz Ostkamp,Misha Pavel,Ian S. Penton-Voak,Olivia Perna,Cyril Pernet,Marco Perugini,R. Nathan Pipitone,Michael C. Pitts,Franziska Plessow,Franziska Plessow,Jason M. Prenoveau,Rima-Maria Rahal,Rima-Maria Rahal,Kate A. Ratliff,David Reinhard,Frank Renkewitz,Ashley A. Ricker,Anastasia E. Rigney,Andrew M Rivers,Mark A. Roebke,Abraham M. Rutchick,Robert S. Ryan,Onur Sahin,Anondah R. Saide,Gillian M. Sandstrom,David Santos,David Santos,Rebecca Saxe,René Schlegelmilch,René Schlegelmilch,Kathleen Schmidt,Sabine Scholz,Larissa Seibel,Dylan Selterman,Samuel Shaki,William B. Simpson,H. Colleen Sinclair,Jeanine L. M. Skorinko,Agnieszka Slowik,Joel S. Snyder,Courtney K. Soderberg,Carina Sonnleitner,Nick Spencer,Jeffrey R. Spies,Sara Steegen,Stefan Stieger,Nina Strohminger,Gavin Brent Sullivan,Thomas Talhelm,Megan Tapia,Anniek M. te Dorsthorst,Manuela Thomae,Manuela Thomae,Sarah L. Thomas,Pia Tio,Frits Traets,Steve N.H. Tsang,Francis Tuerlinckx,Paul J. Turchan,Milan Valášek,Anna E. Van't Veer,Robbie C. M. van Aert,Marcel A.L.M. van Assen,Riet van Bork,Mathijs Van De Ven,Don van den Bergh,Marije van der Hulst,Roel van Dooren,Johnny van Doorn,Daan R. van Renswoude,Hedderik van Rijn,Wolf Vanpaemel,Alejandro Vásquez Echeverría,Melissa Vazquez,Natalia Vélez,Marieke Vermue,Mark Verschoor,Michelangelo Vianello,Martin Voracek,Gina Vuu,Eric-Jan Wagenmakers,Joanneke Weerdmeester,Ashlee Welsh,Erin C. Westgate,Joeri Wissink,Michael J. Wood,Andy T. Woods,Andy T. Woods,Emily M. Wright,Sining Wu,Marcel Zeelenberg,Kellylynn Zuni +290 more
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.