Every day, scientists generate enormous amounts of research data. But once a study is published, another challenge begins. Can another researcher find that data? Will they understand how it was collected? Can they combine it with other datasets years later? For decades, Stanford University professor Mark Musen has worked on answering those questions. Rather than studying a single disease or developing a single treatment, he has focused on building the tools that help research

Wilbert van Panhuis contributed vastly to data science for public health throughout his career. He established Project Tycho, an open-access data repository that applies FAIR (findable, accessible, interoperable and reusable) guidelines to global health data, directed the inaugural Coordination Center for the Models of Infectious Disease Agent Study (MIDAS) for many years and directed projects applying FAIR standards to data for the National Institute of Allergy and Infectiou

This year marks the tenth anniversary of The FAIR Guiding Principles for scientific data management and stewardship, a paper that has revolutionized Open Science and positively impacted research practices. By introducing high-level guidance, the paper has inspired a wide range of initiatives and an ever-growing community of practice that believes that research data should be findable, accessible, interoperable and reusable (FAIR). In the coming weeks, GO FAIR US will be highl