=Paper=
{{Paper
|id=Vol-1116/paper1
|storemode=property
|title=Results May Vary: Reproducibility, Open Science and All That Jazz
|pdfUrl=https://ceur-ws.org/Vol-1116/paper1.pdf
|volume=Vol-1116
|dblpUrl=https://dblp.org/rec/conf/semweb/Goble13
}}
==Results May Vary: Reproducibility, Open Science and All That Jazz==
<pdf width="1500px">https://ceur-ws.org/Vol-1116/paper1.pdf</pdf>
<pre>
                  Results May Vary:
   Reproducibility, Open Science and All That Jazz

                                         Carole Goble

                                 School of Computer Science
                                  University of Manchester



Abstract. How could we evaluate research and researchers? Reproducibility underpins the
scientific method: at least in principle if not practice. The willing exchange of results and the
transparent conduct of research can only be expected up to a point in a competitive environ-
ment. Contributions to science are acknowledged, but not if the credit is for data curation or
software. From a bioinformatics view point, how far could our results be reproducible before
the pain is just too high? Is open science a dangerous, utopian vision or a legitimate, feasi-
ble expectation? How do we move bioinformatics from one where results are post-hoc made
reproducible, to pre-hoc born reproducible? And why, in our computational information age,
do we communicate results through fragmented, fixed documents rather than cohesive, ver-
sioned releases? In this talk, which I gave as a keynote at the 2013 joint conference Intelligent
Systems in Molecular Biology / European Conference on Computational Biology, I will ex-
plore these questions drawing on 20 years of experience in both the development of technical
infrastructure for Life Science and the social infrastructure in which Life Science operates.

</pre>