Reading lists


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<p>Wanting to start a journal club, but don't have time to find journals? Why not borrow someone else's reading list?</p> <p>Here is a collection of readings on open sciences collected from around the web, let us know if you find more!</p> <p>We are in the process of making this a <a href="" rel="nofollow">Zotero library here</a>.</p> <h2>Existing Reading lists</h2> <ul> <li><a href="" rel="nofollow">Srivistava (2016) - Everything is fucked</a></li> <li><a href="" rel="nofollow">David Mellor's "Open Science in the Literature"</a></li> <li><a href="" rel="nofollow">"Replication Concerns are not new"</a></li> <li><a href="" rel="nofollow">How to become a Bayesian in eight easy steps</a></li> <li><a href="" rel="nofollow">Eight Easy Steps to Open Science: An Annotated Reading List</a></li> <li><a href="" rel="nofollow">Brent Roberts and Dan Simons' exhaustive reading list</a></li> <li><a href="" rel="nofollow">Reproducibility Biography</a></li> <li><a href="" rel="nofollow">The global benefits of Open research</a></li> </ul> <h3>Open Science</h3> <ul> <li> <p><a href="" rel="nofollow">A Short (Personal) Future History of Revolution 2.0</a></p> <p>^ Recommended "intro to open science" article - <a href="" rel="nofollow">Open Science, Bropen Science</a></p> <p>A thoughtful, pro-openness cricitism of open science. </p> </li> <li> <p><a href="" rel="nofollow">Open Science: One Term, Five Schools of Thought</a></p> <p>Teasing out the traditions of openness and how they relate to one another.</p> </li> <li> <p><a href="" rel="nofollow">Practical Tools and Strategies for Researchers to Increase Replicability</a></p> <p>How to get started in open research practices - <a href="" rel="nofollow">Open science: What, Why, and how?</a> - <a href="" rel="nofollow">Implications of the Credibility Revolution for Productivity, Creativity, and Progress</a> - <a href="" rel="nofollow">Open Science Is Liberating and Can Foster Creativity</a> - <a href="" rel="nofollow">How open science helps researchers succeed</a></p> <p>What can open research practices do for you (cynically) - <a href="" rel="nofollow">Open Science challenges, benefits and tips in early career and beyond</a> - <a href="" rel="nofollow">The new statistics: why and how.</a> - <a href="" rel="nofollow">The Tao of open science for ecology</a> - <a href="" rel="nofollow">Open Education Science</a> - <a href=",pps).pdf" rel="nofollow"> Grassroots support for reforming reporting standards in psychology</a> - <a href=",pr).pdf" rel="nofollow">Enhancing transparency of the research process to increase accuracy of findings: A guide for relationship researchers</a> - <a href=",collabra).pdf" rel="nofollow">A new replication norm for psychology</a> - <a href=",chapter).pdf" rel="nofollow">Psychological and institutional obstacles toward more transparent reporting of psychological science</a> - <a href=",jpsp).pdf" rel="nofollow">Benefits of open and high-powered research outweigh costs</a> - <a href="" rel="nofollow">Reproducibility of Scientific results</a> - <a href="" rel="nofollow">A Model-Centric Analysis of Openness, Replication, and Reproducibility</a></p> <p>Complex, but addresses the relationship between openness and reproducibility in great detail. - <a href="" rel="nofollow">Discovery of truth is not implied by reproducibility but facilitated by innovation and epistemic diversity in a model-centric framework</a> - <a href="" rel="nofollow">Sound Inference in Complicated Research: A Multi-Strategy Approach</a> - <a href="" rel="nofollow">Reproducibility and Replicability in Science</a> by National Academies of Sciences, Engineering, and Medicine. - <a href="" rel="nofollow">Cultural Psychology, Diversity, and Representation in Open Science</a></p> </li> </ul> <h3>p-values and statistical significance</h3> <ul> <li><a href="" rel="nofollow">Redefine statistical significance</a></li> <li><a href="" rel="nofollow">Justify Your Alpha</a></li> <li><a href="" rel="nofollow">Redefine or Justify? Comments on the alpha debate</a></li> <li><a href="" rel="nofollow">Remove, rather than redefine, statistical significance</a></li> <li><a href="" rel="nofollow">Scientists rise up against statistical significance</a></li> <li><a href="" rel="nofollow">Is the call to abandon p-values the red herring of the replicability crisis?</a></li> </ul> <h3>Theory testing</h3> <ul> <li><a href="" rel="nofollow">What Social Scientists Don't Understand</a></li> </ul> <h3>False-positive inflation</h3> <ul> <li><a href="" rel="nofollow">Measuring the prevalence of questionable research practices with incentives for truth telling</a></li> <li><a href="" rel="nofollow">Researcher Requests for Inappropriate Analysis and Reporting: A U.S. Survey of Consulting Biostatisticians</a></li> <li><a href="" rel="nofollow">False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant</a></li> <li><a href=",rgp).pdf" rel="nofollow">Fearing the future of empirical psychology: Bem's (2011) evidence of psi as a case study of deficiencies in modal research practice</a></li> </ul> <h3>Replicability and Credibility</h3> <ul> <li><a href="" rel="nofollow">The Turing Way - A How-to guide to reproducible data science</a></li> <li><a href="" rel="nofollow">Minimizing Mistakes in Psychological Science</a></li> <li><a href="" rel="nofollow">The Economics of Reproducibility in Preclinical Research</a></li> <li><a href="" rel="nofollow">Reproducibility in science: improving the standard for basic and preclinical research.</a></li> <li><a href="" rel="nofollow">Estimating the reproducibility of psychological science</a></li> <li><a href="" rel="nofollow">Replication in Empirical Economics: The Journal of Money, Credit and Banking Project (1986)</a></li> <li><a href=",ampss)a-unified-framework-to-quantify-the-credibility-of-scientific-findings.pdf" rel="nofollow">A unified framework to quantify the credibility of scientific findings</a></li> <li><a href="" rel="nofollow">Raise standards for preclinical cancer research</a></li> </ul> <h2>Publication reforms</h2> <ul> <li><a href="" rel="nofollow">Exploratory reports: A new article type for Cortex</a></li> <li><a href="" rel="nofollow">A practical guide for transparency in psychological science</a></li> </ul> <h3>Preregistration</h3> <ul> <li><a href=",abstract).pdf" rel="nofollow">Bold conjectures meet open science: Accelerating theory development in social psychology by testing riskier predictions via pre-registration</a></li> <li><a href="" rel="nofollow">The preregistration revolution</a></li> <li><a href="" rel="nofollow">An Agenda for Purely Confirmatory Research</a></li> <li><a href="" rel="nofollow">Preregistration is redundant, at best</a> - A contrarian but thoughtful discussion of the role of preregistration in science. </li> </ul> <h3>Open Materials</h3> <ul> <li><a href="" rel="nofollow">Practical Solutions for Sharing Data and Materials From Psychological Research</a></li> </ul> <h3>Open Data</h3> <ul> <li><a href="" rel="nofollow">Practical Tips for Ethical Data Sharing</a></li> <li><a href="" rel="nofollow">Nine simple ways to make it easier to (re)use your data</a></li> <li><a href="" rel="nofollow">Data Organization in Spreadsheets</a></li> <li><a href="" rel="nofollow">Data Authorship as an Incentive to Data Sharing</a></li> <li><a href="" rel="nofollow">How to share data for collaboration</a></li> <li><a href="" rel="nofollow">Responsible practices for data sharing</a></li> <li><a href="" rel="nofollow">Badges for sharing data and code at Biostatistics: an observational study</a></li> <li><a href="" rel="nofollow">What incentives increase data sharing in health and medical research? A systematic review</a></li> <li><a href="" rel="nofollow">The FAIR Guiding Principles for scientific data management and stewardship</a></li> <li><a href="" rel="nofollow">Using OSF to Share Data: A Step-by-Step Guide</a></li> </ul> <h3>Open Publication</h3> <ul> <li><a href="" rel="nofollow">The open access advantage considering citation, article usage and social media attention</a></li> </ul> <h3>Open Educational Resources</h3> <ul> <li><a href="" rel="nofollow">Models for Sustainable Open Educational Resources</a> </li> </ul> <h2>Research Process Changes</h2> <ul> <li><a href="" rel="nofollow">Striving for transparent and credible research: practical guidelines for behavioral ecologists</a> </li> <li><a href="" rel="nofollow">Robust modeling in cognitive science</a></li> <li><a href="" rel="nofollow">A Quick Guide to Organizing Computational Biology Projects</a></li> </ul> <h3>Computational Reproducibility</h3> <ul> <li><a href="" rel="nofollow">Good enough practices in scientific computing</a></li> <li><a href="" rel="nofollow">Best practices in computational science</a></li> <li><a href="" rel="nofollow">What is missing from descriptions of treatment in trials and reviews?</a></li> <li><a href="" rel="nofollow">An empirical analysis of journal policy effectiveness for computational reproducibility</a></li> <li><a href="" rel="nofollow">Packaging data analytical work reproducibly using R (and friends)</a>)</li> <li><a href="" rel="nofollow">How rOpenSci uses Code review to promote reproducible science</a></li> <li><a href="" rel="nofollow">An introduction to Docker for reproducible research, with examples from the R environment</a></li> </ul> <h3>Version Control</h3> <ul> <li><a href="" rel="nofollow">Git can facilitate greater reproducibility and increased transparency in science</a></li> <li><a href="" rel="nofollow">Excuse me, do you have a moment to talk about version control?</a></li> </ul> <h3>Open Source</h3> <ul> <li><a href="" rel="nofollow">Building Software Building Community: Lessons from the rOpenSci Project</a></li> <li><a href="" rel="nofollow">Our path to better science in less time using open data science tools</a></li> </ul> <h3>Teaching Open Practices</h3> <ul> <li><a href="" rel="nofollow">Teaching Replication</a></li> </ul> <h3>Examples of practice</h3> <ul> <li><a href="" rel="nofollow">Civic Laboratory for Environmental Action Research (CLEAR)</a></li> <li><a href="" rel="nofollow">Onboarding in the Language and Cognition Lab</a></li> </ul>
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