The Data Science Program Office is responsible for developing, managing and implementing a Laboratory-level strategy for Data Science, providing leadership for the Laboratory in the following areas:
- Developing a strategy and implementing a plan for addressing technical and capacity shortfall challenges across the full data lifecycle
- Developing and maintaining a set of JPL-relevant use cases to expose capability gaps, and a technology roadmap to address those gaps
- Developing and implementing a framework and architecture to host the set of Data Science capabilities and services and ensure their scalability
- Positioning JPL as the go-to institution both within and outside NASA for Data Science capabilities and services (as distinct from mere ownership of data archives)
Daniel CrichtonManager (818) 354-9155 Daniel.J.Crichton@jpl.nasa.gov
Daniel Crichton is a program manager, principal investigator, and principal computer scientist at NASA's Jet Propulsion Laboratory, which he joined in 1995. He is the manager of the Center for Data Science and Technology in JPL’s Mission Systems and Operations Division focusing on the research, development and implementation of data intensive systems for science and missions. Mr. Crichton has program management appointments to three JPL program offices for data science and data intensive system projects in solar system exploration, earth science, and technology for NASA and non-NASA sponsors. He manages the Planetary Data System Engineering Node, responsible for software architecture, development, and operations of a national, distributed archive system curating all the scientific data from robotic exploration of the solar system. He was one of the founding members of the International Planetary Data Alliance (IPDA), an organization committed to building compatible international planetary science data archives. He also serves as principal investigator of several distributed data system projects for NASA and the NIH, including the Informatics Center for the NCI Early Detection Research Network (EDRN).
For the EDRN, Mr. Crichton has developed a national infrastructure for the capture, management, distribution, and analysis of data from cancer biomarker research. He also architected an open source software framework, Apache OODT, for the management and distribution of massive scientific data. This won runner-up for NASA Software of the Year 2003, which is now hosted by the Apache Software Foundation as a top-level project, NASA’s first.
Mr. Crichton recently served on the National Research Council Committee on the Analysis of Massive Data, which released its report on big data analytics in September 2013. He has published over 100 papers on software and information architectures, distributed systems, and scientific data management and analysis, as well as five book chapters. Mr. Crichton has B.S. and M.S. degrees in Computer Science from the University of California, Irvine and the University of Southern California.