Carl Kesselman

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Dempsey W, Foster I, Fraser S, et al. (2022) Sharing Begins at Home: How Continuous and Ubiquitous FAIRness Can Enhance Research Productivity and Data Reuse. Harvard Data Science Review. 4
Dempsey WP, Du Z, Nadtochiy A, et al. (2022) Regional synapse gain and loss accompany memory formation in larval zebrafish. Proceedings of the National Academy of Sciences of the United States of America. 119
Samuels BD, Aho R, Brinkley JF, et al. (2020) FaceBase 3: analytical tools and FAIR resources for craniofacial and dental research. Development (Cambridge, England). 147
Foster IT, Kesselman C. (2020) Translating the grid: How a translational approach shaped the development of grid computing Journal of Computational Science. 101214
Madduri R, Chard K, D'Arcy M, et al. (2019) Reproducible big data science: A case study in continuous FAIRness. Plos One. 14: e0213013
Brinkley JF, Fisher S, Harris MP, et al. (2016) The FaceBase Consortium: A comprehensive resource for craniofacial researchers. Development (Cambridge, England)
Toga AW, Foster I, Kesselman C, et al. (2015) Big Biomedical data as the key resource for discovery science. Journal of the American Medical Informatics Association : Jamia
Meeker D, Jiang X, Matheny ME, et al. (2015) A System to Build Distributed Multivariate Models and Manage Disparate Data Sharing Policies: Implementation in the Scalable National Network for Effectiveness Research. Journal of the American Medical Informatics Association : Jamia
Torri F, Dinov ID, Zamanyan A, et al. (2012) Next generation sequence analysis and computational genomics using graphical pipeline workflows. Genes. 3: 545-75
Schuler R, Smith DE, Kumaraguruparan G, et al. (2012) A flexible, open, decentralized system for digital pathology networks. Studies in Health Technology and Informatics. 175: 29-38