[BID-Community] FW: CODATA-RDA Foundational School in Research Data Science, 22 October – 2 November, 2018, Kigali, Rwanda - Deadline for Applications 18 July 2018 Inbox x

KAZIKA KAMOSI kamosi1420 at gmail.com
Wed Jul 11 12:23:07 CEST 2018


Received and thanks sharing.

All the best.

Aime

Le mer. 11 juil. 2018 à 10:14, BID <BID at gbif.org> a écrit :

> Dear All,
>
>
>
> You may be interested by the opportunity below.
>
>
>
> With Best Regards
>
> Maheva
>
>
>
> ------
>
> Maheva Bagard Laursen
>
> BID coordination team
>
> GBIF Secretariat
>
> email: bid at gbif.org
>
> web: http://www.gbif.org/BID/
>
> T: +45 35 32 14 70
>
> F: +45 35 32 14 80
>
>
>
>
> ------------------------------
>
> *From:* african-open-science-platform at googlegroups.com <
> african-open-science-platform at googlegroups.com> on behalf of Ina Smith <
> Ina at assaf.org.za>
> *Sent:* Tuesday, July 10, 2018 12:02 PM
> *To:* african-open-science-platform at googlegroups.com
> *Subject:* CODATA-RDA Foundational School in Research Data Science, 22
> October – 2 November, 2018, Kigali, Rwanda - Deadline for Applications 18
> July 2018 Inbox x
>
>
>
> *Foundational School in Research Data Science*
>
> *22 October – 2 November, 2018 *
>
> *University of Rwanda, Kigali, Rwanda*
>
> The goal of this workshop is to train researchers in Research Data Science
> (RDS). RDS refers to 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, visualization and
> modelling techniques, software development and data annotation. These are
> important tools for extracting useful information from data and these tools
> are useful in every research area. A 10-day workshop, organized by CODATA,
> ICTP and EAIFR, will be conducted at the University of Rwanda, Kigali to
> introduce participants to the skills of RDS.
>
> Topics covered
>
> ·         Open Science
>
> ·         Unix Shell
>
> ·         Version Control
>
> ·         Introduction to R
>
> ·         Research Data Management
>
> ·         Databases and SQL
>
> ·         Data Visualization
>
> ·         Machine Learning and Artificial Neural Networks
>
> ·         Research Computational Infrastructure
> Participation Information
>
> This workshop is open to researchers in every field. Science graduates
> (masters and doctoral levels) working in data intensive fields will find it
> particularly useful. Women  candidates are strongly encouraged to apply.
> Selection of participants will be based on their technical background and
> also the urgency of their needs to apply the tools of RDS. *Applications
> for participation for the workshop can be found
> at: https://e-applications.ictp.it/applicant/login/9006
> <https://e-applications.ictp.it/applicant/login/9006>*
>
> *Deadline for application: **July 18, 2018 *
>
> *For further information contact: **info at eaifr.org  * <info at eaifr.org>
> *or **workshop20181022 at eaifr.org* <workshop20181022 at eaifr.org>
> *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
> participation.
>
>
>
> 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
> impact.
>
>
> Best,
>
> Asha
>
> --
>
> ___________________________
>
>
>
> *Apply to participate in the CODATA-RDA Research Data Science Summer
> School and Advanced Workshops, Trieste, Italy, August 2018 - *Deadline 21
> May 2018
> <http://www.codata.org/news/242/62/Applications-Invited-to-Participate-in-the-CODATA-RDA-Research-Data-Science-Summer-School-and-Advanced-Workshops-Trieste-Italy-2018-Deadline-21-May-2018>
>
>
>
> *Find out what’s happening! *Sign up to the CODATA International News List
> <http://lists.codata.org/mailman/listinfo/codata-international_lists.codata.org>
>
> ___________________________
>
>
>
> 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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