Reproducible big data science: A case study in continuous FAIRness

project

We present the work that went in creation of the atlas of putative transcription factor binding sites from the ENCODE DNase I hypersensitive sequencing data in compliance with the 10 simple rules for reproducible computational research as defined by Sandve et al. We describe the approach we have taken, the tools we built to organize and analyze big biomedical data in compliance with the FAIR principles. This work has been conducted by a multi- disciplinary team of scientists in systems biology, genomics and computer science. We strongly believe that PLOS One journal is an appropriate journal for our paper as the conducted study is interdisciplinary and worthy of a broad audience with differing and multidisciplinary expertise

URL(s):

• http://fair-data.net

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