Stanford Data Science Center for Open and Reproducible Science

The Stanford Data Science Center for Open and Reproducible Science (**SDS-CORES**) aims to develop and nurture transparency and reproducibility in the collection, analysis, and dissemination of data across all domains of scientific activity. The Center focuses on two core objectives. The first is to develop resources and support activities that promote the adoption of open science practices at Stanford and beyond. The second is to foster methodological innovations that can enhance the adoption and effectiveness of open science practices. Nearly every domain of intellectual pursuit is being revolutionized by the availability of large datasets, powerful computational algorithms, and enormous computing power, spanning from the physical, biomedical, social sciences to the arts and humanities. As these resources are increasingly used to influence public policy and medical practice, it is essential that the field of data science stands at the forefront of the ongoing movement towards increased transparency and reproducibility in scientific research, known widely under the umbrella of “Open Science”. Open Science practices have emerged at different rates across different scientific communities, but at present remain largely within the domain of innovators and early adopters. In order to have a broad impact on the transparency and reproducibility of science, we will engage the “early majority” to disseminate these practices into the everyday lives of researchers across the university and ultimately across the world. The SDS Center for Open and REproducible Science will build on the existing engagement of many Stanford scholars on topics related to our core issues at the heart of the integrity and public credibility of science. **Our Values** 1. **Transparency and openness:** the products of scientific research (including data, code, and publications) should be shared as openly as possible. 2. **Reproducibility:** Scientific practices should prioritize rigor and reproducibility, even when they conflict with other considerations or incentives. 3. **Diversity and inclusion:** The scientific process should be open to all, and diversity within the scientific community should be both pursued and celebrated. 4. **Community-mindedness:** Scientists should coordinate and cooperate rather than compete.