From MFKP_wiki

Jump to: navigation, search

Selection: Nosek:BA [6 articles] 

Publications by author Nosek:BA.

Redefine statistical significance

Nature Human Behaviour, Vol. 2, No. 1. (1 September 2017), pp. 6-10,


We propose to change the default P-value threshold for statistical significance for claims of new discoveries from 0.05 to 0.005 ...


A manifesto for reproducible science

Nature Human Behaviour, Vol. 1, No. 1. (10 January 2017), 0021,


Improving the reliability and efficiency of scientific research will increase the credibility of the published scientific literature and accelerate discovery. Here we argue for the adoption of measures to optimize key elements of the scientific process: methods, reporting and dissemination, reproducibility, evaluation and incentives. There is some evidence from both simulations and empirical studies supporting the likely effectiveness of these measures, but their broad adoption by researchers, institutions, funders and journals will require iterative evaluation and improvement. We discuss the goals ...


Badges to acknowledge open practices: a simple, low-cost, effective method for increasing transparency

PLoS Biology, Vol. 14, No. 5. (12 May 2016), e1002456,


Beginning January 2014, Psychological Science gave authors the opportunity to signal open data and materials if they qualified for badges that accompanied published articles. Before badges, less than 3% of Psychological Science articles reported open data. After badges, 23% reported open data, with an accelerating trend; 39% reported open data in the first half of 2015, an increase of more than an order of magnitude from baseline. There was no change over time in the low rates of data sharing among ...


An open investigation of the reproducibility of cancer biology research

eLife, Vol. 3 (10 dec 2014), e04333,
edited by Peter Rodgers


It is widely believed that research that builds upon previously published findings has reproduced the original work. However, it is rare for researchers to perform or publish direct replications of existing results. The Reproducibility Project: Cancer Biology is an open investigation of reproducibility in preclinical cancer biology research. We have identified 50 high impact cancer biology articles published in the period 2010-2012, and plan to replicate a subset of experimental results from each article. A Registered Report detailing the proposed experimental ...


Implementing reproducible research

by Alexander A. Aarts, Anita Alexander, Peter Attridge, Štěpán Bahník, Michael Barnett-Cowan, Elizabeth Bartmess, Frank A. Bosco, Mikio Braun, Benjamin Brown, C. Titus Brown, Kristina Brown, Jesse J. Chandler, Russ Clay, Hayley Cleary, Michael Cohn, Giulio Costantini, Jan Crusius, Andrew Davison, Jamie DeCoster, Michelle DeGaetano, Ryan Donohue, Elizabeth Dunn, Scott Edmunds, Casey Eggleston, Vivien Estel, Frank J. Farach, Susann Fiedler, James G. Field, Stanka Fitneva, Ian Foster, Joshua D. Foster, Rebecca S. Frazier, Juliana Freire, Elisa M. Galliani, Roger Giner-Sorolla, Lars Goellner, R. Justin Goss, Jesse Graham, James A. Grange, Philip Guo, Joshua Hartshorne, Timothy B. Hayes, Grace Hicks, Holger Hoefling, Bill Howe, Iain Hrynaszkiewicz, Denise Humphries, Christophe Hurlin, Luis Ibanez, Georg Jahn, Kate Johnson, Jennifer A. Joy-Gaba, Heather B. Kappes, Calvin K. Lai, Daniel Lakens, Kristin A. Lane, Etienne P. LeBel, Minha Lee, Kristi Lemm, Melissa Lewis, Stephanie C. Lin, Peter Li, Sean Mackinnon, Heather Mainard, Tanu Malik, Nathaniel Mann, Michael May, Jarrod Millman, Katherine Moore, Matt Motyl, Stephanie M. Müller, Dave Murray-Rust, Peter Murray-Rust, Brian A. Nosek, Catherine Olsson, Cheng S. Ong, Fernando Perez, Christophe Perignon, Marco Perugini, Quan Pham, Michael Pitts, Kate Ratliff, Frank Renkewitz, Anthony Rossini, Abraham M. Rutchick, Gillian Sandstrom, Dylan Selterman, William Simpson, Colin T. Smith, Jeffrey R. Spies, Victoria Stodden, Thomas Talhelm, Anna Veer, Michelangelo Vianello, Yihui Xie


In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal ...


Promoting transparency in social science research

Science, Vol. 343, No. 6166. (03 January 2014), pp. 30-31,


There is growing appreciation for the advantages of experimentation in the social sciences. Policy-relevant claims that in the past were backed by theoretical arguments and inconclusive correlations are now being investigated using more credible methods. Changes have been particularly pronounced in development economics, where hundreds of randomized trials have been carried out over the last decade. When experimentation is difficult or impossible, researchers are using quasi-experimental designs. Governments and advocacy groups display a growing appetite for evidence-based policy-making. In 2005, Mexico ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database.

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.