One year ago, the White House Office of Science and Technology Policy (OSTP) launched a Year of Open Science, announcing actions across the federal government to advance open, equitable, and secure research. Throughout 2023, federal agencies engaged …
The demand for open data and open science is on the rise, fueled by expectations from the scientific community, calls to increase transparency and reproducibility in research findings, and developments such as the Final Data Management and Sharing …
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Reprodutibilidade e replicabilidade de estudos científicos.
Randomização, cegamento, planejamento amostral e pré-registro de projeto. Diferença entre estudos exploratórios e confirmatórios, P hacking, HARKing e double dipping. Práticas de …
The FAIR Principles are a set of good practices to improve the reproducibility and quality of data in an Open Science context. Different sets of indicators have been proposed to evaluate the FAIRness of digital objects, including datasets that are …
Real-world evidence (RWE) studies are increasingly used to inform policy and clinical decisions. However, there remain concerns about the credibility and reproducibility of RWE studies. While there is universal agreement on the critical importance of …
The purpose of this course is to acquaint students with recent developments in open science and reproducibility of the research workflow. By the end of this course students will be familiar with documenting their research workflow (e.g., idea …
Campbell’s Law explains the replication crisis. In brief, useful tools such as hypotheses, p-values, and multi-study designs came to be viewed as indicators of strong science, and thus goals in and of themselves. Consequently, their use became …
The Canadian Open Neuroscience Platform (CONP) provides an infrastructure for the promotion of open-science workflows and the sharing of neuroscience data. This platform brings together many of the country’s leading scientists in basic and clinical …