Reproducible big data science: A case study in continuous FAIRness. Madduri, R., Chard, K., D’Arcy, M., Jung, S. C., Rodriguez, A., Sulakhe, D., Deutsch, E., Funk, C., Heavner, B., Richards, M., Shannon, P., Glusman, G., Price, N., Kesselman, C., & Foster, I. PLOS ONE, 14(4):e0213013, April, 2019.
Reproducible big data science: A case study in continuous FAIRness [link]Paper  doi  bibtex   
@article{madduri_reproducible_2019,
	title = {Reproducible big data science: {A} case study in continuous {FAIRness}},
	volume = {14},
	issn = {1932-6203},
	shorttitle = {Reproducible big data science},
	url = {https://dx.plos.org/10.1371/journal.pone.0213013},
	doi = {10.1371/journal.pone.0213013},
	language = {en},
	number = {4},
	urldate = {2022-01-14},
	journal = {PLOS ONE},
	author = {Madduri, Ravi and Chard, Kyle and D’Arcy, Mike and Jung, Segun C. and Rodriguez, Alexis and Sulakhe, Dinanath and Deutsch, Eric and Funk, Cory and Heavner, Ben and Richards, Matthew and Shannon, Paul and Glusman, Gustavo and Price, Nathan and Kesselman, Carl and Foster, Ian},
	editor = {Mehmood, Rashid},
	month = apr,
	year = {2019},
	pages = {e0213013},
}

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