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The Science as an open enterprise report highlights the need to grapple with the huge deluge of data created by modern technologies in order to preserve the principle of openness and to exploit data in ways that have the potential to create a second open science revolution. Exploring massive amounts of data using modern digital technologies has enormous potential for science and its application in public policy and business. The report maps out the changes that are required by scientists, their institutions and those that fund and support science if this potential is to be realised | 0 C042 pA.A050 EC042_pAA034 5 a JỌ Science as an open enterprise June 2012 ROYAL SOCIETY Science as an open enterprise t The Royal Society Science Policy Centre report 02 12 Issued June 2012 DES24782 ISBN 978-0-85403-962-3 The Royal Society 2012 The text of this work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike CC BY-NC-SA. The license is available at creativecommons.org licenses by-nc-sa 3.0 Images are not covered by this license and requests to use them should be submitted to science.policy@royalsociety.org Requests to reproduce all or part of this document should be submitted to The Royal Society Science Policy Centre 6 - 9 Carlton House Terrace London SW1Y 5AG T 44 20 7451 2500 E science.policy@royalsociety.org W royalsociety.org Cover image The Spanish Cucumber E. Coli. In May 2011 there was an outbreak of a unusual Shiga-Toxin producing strain of E.Coli beginning in Hamburg in Germany. This has been dubbed the Spanish cucumber outbreak because the bacteria were initially thought to have come from cucumbers produced in Spain. This figure compares the genome of the outbreak E. Coli strain C227-11 left semicircle and the genome of a similar E. Coli strain 55989 right semicircle . The 55989 reference strain and other similar E.Coli have been associated with sporadic human cases but never large scale outbreak. The ribbons inside the track represent homologous mappings between the two genomes indicating a high degree of similarity between these genomes. The lines show the chromosomal positioning of repeat elements such as insertion sequences and other mobile elements which reveal some heterogeneity between the genomes. Section 1.3 explains how this genome was analysed within weeks because of a global and open effort data about the strain s genome sequence were released freely over the internet as soon as they were produced. This figure is from Rohde H et al 2011 . Open-Source Genomic Analysis of Shiga-Toxin-Producing E. coli O104 H4. New
