[CODATA-international] LAST DAY TO APPLY: Applications Invited to Participate in the CODATA-RDA Research Data Science Summer School and Advanced Workshops, Trieste, Italy 2018

Asha CODATA asha at codata.org
Mon May 21 03:18:29 EDT 2018

The CODATA-RDA Research Data Science Summer School and Research Data Science

Advanced Workshops will run for their third and second year respectively at
the International Centre for Theoretical Physics, Trieste, Italy.

*The CODATA-RDA Research Data Science Summer School will take place on 6-17
August 2018.  Apply here! <http://indico.ictp.it/event/8329/
<http://indico.ictp.it/event/8329/>>  Deadline 21/05/2018*

*The CODATA-RDA Research Data Science Advanced Workshops this year cover
the following topics:*

   - *Bio-informatics*
   - *Climate Data Sciences*
   - *Extreme Sources of Data *
   - *Internet of Things (IoT)/Big-Data Analytics*

*The Advanced Workshops will take place on 20-24 August 2018.  Apply here!
<http://indico.ictp.it/event/8561/ <http://indico.ictp.it/event/8561/>>
Deadline 21/05/2018*

*About the CODATA-RDA Research Data Science Summer School, 6-17 August 2018*
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 <http://www.codata.org/working
-groups/research-data-science-summer-schools> where you will find links to
information about past schools in 2016 and 2017 held in Trieste and São
Paulo.  Watch a video about the Schools of Research Data Science here <

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.  In 2018, building on our partnership with ICTP and the
support of our sponsors and partners we will convene Data Schools in:

Brisbane, Australia, June.
Trieste, Italy, 6-17 August
Kigali, Rwanda, 22 Oct-2 Nov
São Paulo, Brazil, 3-14 Dec

*About the CODATA-RDA Research Data Science Advanced Workshops, 20-24
August 2018*
Four advanced and thematic workshops on Research Data Science will run in

   - Workshop on Extreme sources of data: Introduction to CERN LHC and
   ATLAS Experiment. Hands-on sessions will include python coding and
   tutorials on using the ATLAS Open Data Platforms/Tools.
   - Workshop on Bioinformatics: Advanced hands-on-tutorials on
   computational methods for the management and analysis of genomic and
   sequencing data.
   - Workshop on IoT/Big Data Analytics: Topics will include Big Data tools
   and technology; real time event processing; low latency query; analyzing
   social media and customer sentiment. Hands-on sessions will include
   deploying and using Big-Data Analytic tools and platforms including Hadoop,
   Apache Kafka and HDF
   - Workshop on Climate Data Science: Cloud computing platform/ tools for
   Climate Data Sciences including integration and visualization of on-line
   and local datasets. Hands- on sessions will focus on using on-line high
   performance platforms and tools for Climate Data Science.

*Information for Applicants*
There is no registration fee for these events.  Some support for travel and
accommodation is available and its allocation will be determined during the
selection process.  Much of this funding is intended for participants from
lower and middle income countries.  Potential participants have the
opportunity to indicate they need support in the application.  Self-funded
participants are welcome.  All applicants are strongly encouraged to look
for alternative ‘third-party’ sources of funding to support their

The CODATA-RDA Research Data Science Summer School is open to participants
in any research discipline.  The data skills taught are also useful for
(data) librarians and other research support staff, such as those who
envisage a career as data steward or data analysts.  Furthermore, people
who are more advanced in their careers who would like to improve their data
skills as a form of continuing professional development are also eligible.

Participants will be selected on merit from a very competitive
field.  Applicants are urged therefore to ensure they pay careful and full
attention to the requirements of the application process.

Selected participants for the Research Data Science Summer School will have
a baseline of data skills and these will have been tested by an online
form.  Applicants to the Advanced Workshops should demonstrate their
capacity and skills to engage with these themes on a more advanced level.

Applicants to either event should pay particular attention to their
personal statement and communicate persuasively their reasons for wishing
to attend the Summer School and/or Advanced Workshops: how do they intend
to use these skills and experiences, how will participation in the Summer
School and/or Advanced Workshops benefit their research or the institution
in which they work?  Finally, candidates should take pains to ensure that
their application is well supported by references from their past or
present tutors or line managers.  This is particularly important so that
the directors and organisers of these events have confidence in the
candidate and that the skills learnt will have the maximum benefit and


What has CODATA delivered recently? See the CODATA Prospectus: Strateg
y and Achievement, 2015-2016 https://doi.org/10.5281/zenodo.165830

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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