LO ÚLTIMO EN REPRODUCCIÓN Y CIENCIA ABIERTA ► Reproducibility and Open Science: Recent Reviews and Commentaries - February 2, 2015 [idioma inglés]

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Reproducibility & Translation of Science

Reproducibility and Open Science: Recent Reviews and Commentaries - February 2, 2015

Share some negative data in 2015, by Ken Witver, Johns Hopkins University, Blog Post, January 2015

Big data studies come with replication challenges. The truth can be hard to find with millions of data points and lots of room for error. By Tina Hesman Saey, Science News, Jan 26

Rewarding open science practices in research, OBSSR, Dec 24, 2014

Reproducibility in science: Improving the standard for basic and preclinical research.

Begley CG, Ioannidis JP. Circ Res. 2015 Jan 2;116(1):116-126.

A stronger post-publication culture is needed for better science.

Hilda Bastian, PLOS Medicine, December 30, 2014

The focus on bibliometrics makes papers less useful, Nature News, Jan 13

Reproducibility and Translation of Science - October 30, 2014

How to make more published research true.

John P. A. Ioannidis, PLOS Medicine, October 21, 2014 

CDC's Public Health Grand Rounds, "Measuring science impact", You Tube, Jan 27

Lancet special series on research: increasing value, reducing waste, January 2014

CDC paper: Increasing value and reducing waste in research design, conduct, and analysis.

Ioannidis J, et al. Lancet, January 2014

CDC paper: Assessing value in biomedical research: The PQRST of appraisal and reward

John P. A. Ioannidis & Muin J. Khoury, JAMA, June 9, 2014

Why most published research findings are false.

John P. A. Ioannidis PLoS Medicine (2005)

CDC paper: Most published research findings are false, but a little replication goes a long way. 

Mooneshinghe R, et al. PLoS Medicine (2007)

NIH presses journals to focus on reproducibility of studies, by Paul Basken, Chronicle of Higher Education Jun 6

Unknown unknowns: Is there a selection bias against null results? Wellcome Trust, Sep 11

Assessing the validity and reproducibility of genome-scale predictions.

Sugden LA, et al.  Bioinformatics. 2013 Nov 15;29(22):2844-51.