=Paper=
{{Paper
|id=Vol-1933/keynote-corcho
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1933/keynote-corcho.pdf
|volume=Vol-1933
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==None==
https://ceur-ws.org/Vol-1933/keynote-corcho.pdf
Towards Reproducible Science: A Few Building
Blocks from my Personal Experience
Oscar Corcho
Ontology Engineering Group, ETSI Informáticos, Universidad Politécnica de Madrid,
Spain
ocorcho@fi.upm.es
Abstract
It is well understood that achieving Reproducible Science across all scientific
disciplines is an extremely ambitious goal that will be really difficult to achieve.
However, as far as it could be, there are many small steps that can be taken
towards improving our way of doing, communicating and advancing Science,
by making the experiments that we describe in our scientific papers easier to
reproduce.
In this talk, I will talk about some of the efforts that we have been working on
in the context of our research group, focused on achieving a more Reproducible
Science.
First, our work on ontologies for the representation of wetlab laboratory pro-
tocols (for plant genomics). We have been working for a few years on analysing
manually papers describing laboratory protocols, deriving a representation for
them, understanding how Instruments, Reagents, Outputs, etc., have to be iden-
tified and annotated, and working on an annotation tool for those creating lab
protocols. Finally, we are now in the process of publishing this laboratory pro-
tocols as Linked Data. All this work is also related to other works that we have
been doing in the past in collaboration with other institutions for the description
of research objects and for the description of scientific in-silico workflows.
Second, the work that we are doing in the context of the STARS4ALL EU
project, where we are trying to provide support to the research (and activists)
community working on light pollution and the negative effects of artificial light
at night. More specifically, we are working on making research data available as
open data, including the deployment of a research data hub for the community,
as well as creating ontologies that can be used by public institutions in order to
release data about public lighting.
Finally, I will discuss on what I believe that is still needed in order to achieve
the broader goal of Reproducible Science and will open a discussion on the
current barriers to achieve this goal.
Biography
Oscar Corcho is Full Professor at Departamento de Inteligencia Artificial (Fac-
ultad de Informtica , Universidad Politcnica de Madrid), and he belongs to the
Ontology Engineering Group.
His research activities are focused on Semantic e-Science and Real World
Internet, although he also works in the more general areas of Semantic Web and
Ontological Engineering. In these areas, he has participated in a number of EU
projects (DrInventor, Wf4Ever, PlanetData, SemsorGrid4Env, ADMIRE, On-
toGrid, Esperonto, Knowledge Web and OntoWeb), and Spanish R&D projects
(CENITS mIO!, Espaa Virtual and Buscamedia, myBigData, GeoBuddies), and
has also participated in privately-funded projects like ICPS (International Clas-
sification of Patient Safety), funded by the World Health Organisation, and
HALO, funded by Vulcan Inc.
Previously, he worked as a Marie Curie research fellow at the University
of Manchester, and was a research manager at iSOCO. He holds a degree in
Computer Science, an MSc in Software Engineering and a PhD in Computa-
tional Science and Artificial Intelligence from UPM. He was awarded the Third
National Award by the Spanish Ministry of Education in 2001.
He has published several books, from which Ontological Engineering can
be highlighted as it is being used as a reference book in a good number of
university lectures worldwide, and more than 100 papers in journals, conferences
and workshops. He usually participates in the organisation or in the programme
committees of relevant international conferences and workshops.