[CODATA-international] Applications Invited to Participate in the CODATA-RDA Research Data Science Advanced Workshops, Trieste, Italy 2019 - Deadline 18 April 2019
asha at codata.org
Thu Feb 21 02:57:37 EST 2019
The CODATA-RDA Research Data Science Summer School and Research Data
Science *Advanced Workshops *will run for their fourth and third year
respectively at the International Centre for Theoretical Physics, Trieste,
*The CODATA-RDA Research Data Science Advanced Workshops will take place on
19-23 August 2019. Apply here!
During this activity, several applied/thematic workshops on Research Data
Science run in parallel.
- *Bioinformatics: *This workshop focuses on building Machine Learning
workflows using NGS Data. Topics include: Experimental design; Introduction
to NGS data analysis; Machine Learning in NGS; and CWL. Participants should
be familiar with UNIX shell and R programming language.
- *IoT and Big Data Analytics: *This workshop presents the analysis of
vast amounts of data produced by embedded devices, sensors, appliances and
other data-collecting systems in real time using new processes and tools
for collecting, storing and processing IoT big data, event/streaming data.
Participants should be familiar with software installation and programming
in R or Java or Python. Professionals & corporate entities should apply for
this workshop via the ITU Academy.
- *Climate Data Sciences: *This workshop will introduce Cloud-Computing
based Data access, processing and visualisation tools for Climate Science,
including the Copernicus climate data services platforms and the CMIP Earth
System Grid. Participants will work in small project teams and should have
a background in Climate Sciences and/or climate modeling.
- *Extreme Sources of Data: *This workshop introduces the basics
relative to a cut-and-count particle physics analysis as performed in the
ATLAS Collaboration (Large Hadron Collider). Topics to be covered include
phenomenological, experimental and data-analysis aspects of the Standard
Model; software development and tools for analysis and reproducible science
and sharing. Participants should have taken at least one course on Particle
Physics at High Education level.
Individuals seeking an introduction to Research Data Science can apply to
the *Summer School <http://indico.ictp.it/event/8706/>* that runs
immediately before the workshops.
For more information from the ICTP site go to:
- A limited number of grants are available to support the attendance of
selected participants from developing countries.Professionals and corporate
entities should register/apply for the Advanced Workshop on IoT and
Big-Data Analytics via the ITU Academy platform.
*About the CODATA-RDA Research Data Science Summer School, 5-16 August 2019*
The CODATA-RDA Research Data Science Summer School provides training in the
foundational skills of Research Data Science. Contemporary research –
particularly when addressing the most significant, transdisciplinary
research challenges – cannot be done effectively without a range of skills
relating to data. This includes the principles and practice of Open Science
and research data management and curation, the use of a range of data
platforms and infrastructures, large scale analysis, statistics,
visualisation and modelling techniques, software development and annotation
and more. We define ‘Research Data Science’ as the ensemble of these skills.
Find out more about the schools *here
you will find links to information about past schools in 2016, 2017 and
2018 held in Trieste and São Paulo. Watch a video about the Schools of
Research Data Science *here <https://vimeo.com/299263596>*
The School of Research Data Science has enjoyed a remarkable success and
clearly responds to a burning need for data skills among Early Career
Researchers and others involved in the research process, internationally.
ICTP School Poster for DataTrieste 2019
Asha Law | Program Assistant, CODATA | http://www.codata.org
E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96
CODATA (Committee on Data of the International Council for Science), 5 rue
Auguste Vacquerie, 75016 Paris, FRANCE
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