Making all research data accessible, discoverable, and usable

Globus Labs is a research group led by Prof. Ian Foster and Dr. Kyle Chard that spans the Computation Institute, Department of Computer Science, and Math and Computer Science Division at the University of Chicago and Argonne National Laboratory. Our modest goal is to realize a world in which all research data are reliably, rapidly, and securely accessible, discoverable, and usable. To this end, we work on a broad range of research problems in data-intensive computing and research data management. Our work is made possible by much-appreciated support from the National Science Foundation, National Institutes of Health, Department of Energy, National Institute of Standards and Technology, and other sources, and in addition to computer science, engages fields as diverse as materials science, biology, archaeology, climate policy, and social sciences. We work closely with the team developing the Globus research data management platform, who often challenge us to think bigger—and sometimes implement our less crazy ideas.


We are developing methods for online data analysis and reduction on exascale computers

We are developing methods to index large amounts of scientific data distributed over heterogeneous storage systems

We are developing methods to automatically extract scientific facts buried in scientific publications


RIPPLE: Home Automation for Research Data Management. First International Workshop on Serverless Computing (WoSC), 2017.

Skluma: A statistical learning pipeline for taming unkempt data repositories. 29th International Conference on Scientific and Statistical Database Management (SSDBM), 2017.

Explaining Wide Area Data Transfer Performance. ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2017.