Provenance-enabled Reproducibility: Developments in DataONE

Bryce Mecum is a scientific software engineer with expertise in data analysis and programming and data management systems, including systems like R, GitHub, repository software, Python, and UNIX. He has a background in fisheries modeling and management, and builds software systems supporting environmental synthesis.

Matt directs the Informatics program at NCEAS, which focuses on both supporting efficient synthesis through scientific computing and on building new advanced infrastructure to support data sharing, preservation, analysis, and modeling. Matt is the Director of the DataONE program, a global network of interoperable data repositories, and of the NSF Arctic Data Center. In addition to data infrastructure work at NCEAS, Matt also helps to build the NCEAS Learning Hub through an emphasis on data science and reproducible research teaching.

Matt’s career has focused on improving data science infrastructure to support cross-disciplinary and synthetic science, principally through the development of open source software for data repositories, metadata systems, and reproducible analysis and modeling.

Matt has a M.S. in Zoology from the University of Florida that focused on the ecology of plant-animal interactions, and a B.A. from Dartmouth College.

Chris Jones is a Software Engineer at the National Center for Ecological Analysis and Synthesis (NCEAS), at the University of California, Santa Barbara. He has worked on informatics projects for the last fifteen years, focusing on generic solutions to common data management needs in the earth and ecological sciences. Chris has built systems to document and archive data for regional and international consortia, stream data in near real time from arrays of oceanographic sensors deployed across the insular Pacific islands, and has been involved in metadata standards development and ontology development. Chris tries to handle computer systems in stride, despite their frequent tantrums. He lives in Colorado.