Open access to research data increases knowledge, advances science, and benefits society. Many researchers are now required to share data. Two research centers at Yale have launched projects that support this mission. Both centers have developed technology, policies, and workflows to facilitate open access to data in their respective fields. The Yale University Open Data Access (YODA) Project at the Center for Outcomes Research and Evaluation advocates for the responsible sharing of clinical research data. The Project, which began in 2014, is committed to open science and data transparency, and supports research attempting to produce concrete benefits to patients, the medical community, and society as a whole. Early experience sharing data, made available by Johnson & Johnson (J&J) through the YODA Project, has demonstrated a demand for shared clinical research data as a resource for investigators. To date, the YODA Project has facilitated the sharing of data for over 65 research projects. The Institution for Social and Policy Studies (ISPS) Data Archive is a digital repository that shares and preserves the research produced by scholars affiliated with ISPS. Since its launch in 2011, the Archive holds data and code underlying almost 90 studies. The Archive is committed to the ideals of scientific reproducibility and transparency: It provides free and public access to research materials and accepts content for distribution under a Creative Commons license. The Archive has pioneered a workflow, “curating for reproducibility,” that ensures long term usability and data quality.
Workshop in methods at IU.
A presentation by Mohammad Akhlaghi from the Centre de Recherche Astrophysique de Lyon (CRAL) on reproducibility through using Make.
Jeffrey Spies, Ph.D., is the Co-Founder and Chief Technology Officer of the non-profit Center for Open Science. In this presentation, Dr. Spies discusses motivations, values, and common experiences of researchers and scholars in research and publication processes. Spies explores biases toward confirmatory research to the exclusion of exploratory research, funding and reward incentives that conflict with scholarly values, and, costs of delayed research publication -- as measured in human lives. This critical approach to ethics and values in research and publication begs the questions “Where would we be if this [publishing] system were a little more reproducible, a little more efficient?” and asks for an examination of values as revealed by our practice; are we implying that some lives matter more than others? Spies discusses how open output [open access] and open workflow policies and practices assist scholars in aligning their scholarly practices more closely to their scholarly values. For more information: Center for Open Science: https://cos.io Open badges: https://cos.io/our-services/open-science-badges Open Science Framework: https://cos.io/our-products/open-science-framework PrePrint servers: https://cos.io/our-products/osf-preprints/ Registered Reports: https://cos.io/rr Transparency and Openness Promotion Guidelines: https://cos.io/our-services/top-guidelines
Fairly high-level entry slides presented to the members of intercollegiate graduate program in Bioinformatics and Genomics at The Pennsylvania State University.
Presentation slides for the 2017 Workshop on Reproducibility Taxonomies for Computing and Computational Science