Mike D'Arcy

Big Data Bags: A Scalable Packaging Format for Science

Ian T. Foster, Carl Kesselman, Mike D'Arcy, 2019, RO.

Reproducible big data science: A case study in continuous FAIRness

Ian T. Foster, Carl Kesselman, Ravi K. Madduri, 2018, bioRxiv.

An Open Ecosystem for Pervasive Use of Persistent Identifiers

Carl Kesselman, Kyle Chard, Robert Schuler, 2020, PEARC.

Neuroanatomical morphometric characterization of sex differences in youth using statistical learning

Arthur W. Toga, Lu Zhao, Carl Kesselman, 2018, NeuroImage.

Reproducible big data science: A case study in continuous FAIRness

Arthur W. Toga, Kyle Chard, Ian Foster, 2018, bioRxiv.

I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets

Arthur W. Toga, Carole A. Goble, Ian T. Foster, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Towards Co-Evolution of Data-Centric Ecosystems

Robert Schuler, Karl Czajkowski, Mike D'Arcy, 2020, SSDBM.

I'll take that to go

C. Kesselman, A. Toga, K. Clark, 2016 .

BDQC: a general-purpose analytics tool for domain-blind validation of Big Data

Arthur W. Toga, Anushya Muruganujan, Carl Kesselman, 2018, bioRxiv.

Monitoring the Earth System Grid with MDS4

David E. Bernholdt, Luca Cinquini, Ann L. Chervenak, 2006, 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06).

Monitoring the grid with the Globus Toolkit MDS4

Carl Kesselman, Ian Foster, Jennifer M. Schopf, 2006 .

2016 Ieee International Conference on Big Data (big Data) I'll Take That to Go: Big Data Bags and Minimal Identifiers for Exchange of Large, Complex Datasets

Ravi K. Madduri, Benjamin D. Heavner, C. Kesselman, 2022 .