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. 2023 Nov 21;18(11):e0294883. doi: 10.1371/journal.pone.0294883

Correction: Reproducible big data science: A case study in continuous FAIRness

Ravi Madduri, Kyle Chard, Mike D’Arcy, Segun C Jung, Alexis Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory Funk, Ben Heavner, Matthew Richards, Paul Shannon, Gustavo Glusman, Nathan Price, Carl Kesselman, Ian Foster

PMCID: PMC10662719 PMID: 37988378

The URLs in the Data Availability statement for this paper are incorrect. The correct URLs are:

DNase-Seq has the unique identifier minid:b9dt2t and is available from https://identifiers.org/minid:b9dt2t
Aligned BAM files have an identifier: minid:b9vx04 and are available from https://identifiers.org/minid:b9vx04
The collection of BED files of footprints have an identifier: minid:b9496p and are available from https://identifiers.org/minid:b9496p
The non-redundant Motifs database has an identifier: minid:b97957 and is available from https://identifiers.org/minid:b97957
The motif intersected hits have an identifier: minid:b9p09p and are available from https://identifiers.org/minid:b9p09p
The Transcription Factor Binding Sites generated from the study have an identifier: minid:b9v398 and are available from https://identifiers.org/minid:b9v398

Reference

1.Madduri R, Chard K, D’Arcy M, Jung SC, Rodriguez A, Sulakhe D, et al. (2019) Reproducible big data science: A case study in continuous FAIRness. PloS ONE 14(4): e0213013. 10.1371/journal.pone.0213013 [DOI] [PMC free article] [PubMed] [Google Scholar]

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