Introduction

Adv Exp Med Biol. 2019:1137:1-8. doi: 10.1007/978-3-030-13845-5_1.

Abstract

Health and Life studies are well known for the huge amount of data they produce, such as high-throughput sequencing projects (Stephens et al., PLoS Biol 13(7):e1002195, 2015; Hey et al., The fourth paradigm: data-intensive scientific discovery, vol 1. Microsoft research Redmond, Redmond, 2009). However, the value of the data should not be measured by its amount, but instead by the possibility and ability of researchers to retrieve and process it (Leonelli, Data-centric biology: a philosophical study. University of Chicago Press, Chicago, 2016). Transparency, openness, and reproducibility are key aspects to boost the discovery of novel insights into how living systems work (Nosek et al., Science 348(6242):1422-1425, 2015).

Keywords: Bibliographic databases; Bioinformatics; Biomedical data repositories; CSV: comma-separated values; Command line tools; EBI: European Bioinformatics Institute; Shell scripting; Spreadsheet applications; TSV: tab-separated values; Text files.

MeSH terms

  • Computational Biology*
  • Data Analysis*
  • High-Throughput Nucleotide Sequencing*
  • Reproducibility of Results