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International Training workshop on Big Data for Science and Sustainability

The CODATA PASTD – IGU joint action of the International Training workshop on Big Data for Science and Sustainability in Developing Countries was successfully held from 17th -19th March, 2017 in Hyderabad, India. Training workshop is academic event of The Xth IGU International Conference on "Urbanization, Health & Well Being and Sustainable Development Goals". Supported by the International Geographical Union (IGU) and Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (IGSNRR, CAS), the Hyderabad training workshop is one of CODATA PASTD’s three capacity building activities in 2017. Other training activities will be held in Madagascar in September and in China in November. 

Read the full blog: here

 


DEADLINE APPROACHING: EUDAT Summer School, 3 to 7 July 2017 - Deadline for applications, Sunday April 23rd 2017 @ 23:59 CEST

The EUDAT Research Data Management Summer School, taking place from 3 to 7 July 2017 and kindly hosted by the Information Systems Laboratory (ISL) and Institute of Computer Science (ICS) of the Foundation for Research and Technology - Hellas (FORTH), will be a unique occasion for early-career data scientists and data managers interested in furthering their careers in data management, data science and digital preservation.

The draft programme is now available and covers the topics of:

  •     The Research Data Lifecycle
  •     The FAIR Data Concept
  •     Writing a Data Management Plan
  •     The EUDAT Service Suite Overview
  •     High Performance Computing (HPC) Programming Models
  •     Using the EGI Federated Cloud for Data Analysis
  •     Linking HPC to Data Management
  •     Open Data and Cross-disciplinary Research
  •     Long Term Data Curation
 
With over 30 different sessions, more than 15 international data experts will take attendees on a 5-day journey in stunning Crete discovering the world of data with exclusive in-depth insights too. By the end of the summer school you will be confident in the fundamentals of data management and data analytics, have a greater knowledge on how EUDAT services could support your work and expand your international network of colleagues and peers in the field.
Deadline for Applications is Sunday April 23rd 2017 @ 23:59 CEST. - 
 
Details, eligibility and application form available at https://eudat.eu/eudat-rdm-summer-school-application-evaluation-criteria


COMING SOON! The CODATA 2017 Conference, 'Global Challenges and Data Driven Science’ will take place in Saint-Petersburg, 8-12 October 2017

Information about the conference is available at http://codata2017.gcras.ru/ ; the Call for Sessions and Papers will be issued soon and it will be possible to submit proposals and abstracts at http://conference.codata.org/2017/ from 24 April.

 
The purpose of the conference is to explore the fundamental issues relating to the availability, (re-)use and scientific analysis of data that relate to the most significant contemporary global challenges.  

Global science is increasingly data-driven.  Major international scientific programmes contribute to a collective endeavour to understand contemporary global processes and phenomena that are of deep relevance to contemporary societies.  The unprecedented volume of data generated by the digital revolution of recent decades has led to the emergence of distinctive and powerful means of characterising and understanding the complex systems that are at the heart of many global challenges.  These developments raise major questions around data collection, stewardship and analysis; and there are timely lessons to be shared between the academic and commercial sectors.
 
The conference will be of interest to researchers in many domains, and particularly those relating to the global research programmes sponsored by the International Council of Science (Future Earth, Integrated Research on Disaster Risk, Urban Health and Wellbeing), as well as research around the Sustainable Development Goals, ecological and environmental challenges and assessments and the Sendai Framework on disaster risk reduction.  The conference will foster constructive and continued dialogue between transdisciplinary research activities and data experts.
 
The conference themes are as follows:
  1. Concrete achievements in data-drive science across all research areas
  2. Data collection, analysis and integration for Earth observations and the study of the Earth’s system
  3. Data collection and analysis for disaster risk research
  4. Data-driven cities and sustainable urban development
  5. Shared data challenges: Big Data management and analysis in the scientific and commercial sectors
  6. Fundamental and practical issues of data analysis, event recognition and application
  7. Coordination and development of national and international data services
  8. Development of research data services in universities and other research organisations
  9. Coordination of data standards and interoperability
  10. Issues around ‘intelligently open’ and FAIR data
  11. Metrology, precision data, fundamental physical constants, reference data and monitoring data in all domains
We look forward to seeing you in Saint-Petersburg in October.
 
Conference Website: http://codata2017.gcras.ru/
 
Submit Session Proposals and Paper Abstracts (Open from 24 April): http://conference.codata.org/2017/


Open Review of the IRIDIUM International Research Data Management Glossary WG Outputs

CODATA is collaborating on an international glossary of research data management terms and definitions: http://www.codata.org/working-groups/standard-glossary-for-research-data-management-iridium

Dubbed the IRIDIUM (International Research Data Management) Glossary, this is an evolving partnership initiative growing out of a pilot project last year.  You can review the current glossary at http://dictionary.casrai.org/Category:Research_Data_Domain  (it is currently branded as a ‘dictionary’ but will be rebranded, post-pilot, as a ‘glossary’).
 
The Working Group’s outputs (new and revised terms) will shortly be made available for a month-long period of Open Review with the international research community.  
 
We invite participation from any and all experts, from any country, with an interest in this glossary to participate in the Open Review.  

Further information is contained in the message below and at https://forum.casrai.org/t/call-for-participation-in-2017-standards-open-review/378
 

This is an international call for participants in the upcoming Open Review of the 2017 outputs of the CASRAI standards active Working Groups (WGs).

These four CASRAI WGs are now in the final stages of preparing their outputs for a month-long period of Open Review in the international research community.

Track 1IRIDIUM (Research Data Management) Standard Glossary Review
Track 2Open Access Standard Glossary Review
Track 3Academic Research Career Levels Standard Taxonomy Review
Track 4Impacts Data Collection Standard Template Review

Participants are welcome from all research-producing nations.

CALL (OPEN REVIEW) INSTRUCTIONS:

Please see the instructions at https://forum.casrai.org/t/call-for-participation-in-2017-standards-open-review/378 

Please sign up for the Open Review of the IRIDIUM International Research Data Management Glossary outputs at https://forum.casrai.org/t/may-2017-iridium-research-data-management-standard-glossary-review/380 


eResearch Africa 2017 Conference: Data Driving Discovery, University of Cape Town, 2-5 May 2017

Programme: http://www.eresearch.ac.za/eresearch-africa-2017-programme

Register: http://www.eresearch.ac.za/registration-eresearch-africa-2017

The eResearch Africa conference is aimed at providing researchers with the platform to showcase how they are using IT resources to conduct they work and what methods they have in place to process their data.

This is the third in a series of bi-annual events to showcase case studies of the successful use of technological platforms and methods that enhance researchers’ ability to generate, collect, share, process, analyse, store and retrieve information.  To this end, research support practitioners, academic researchers and educators from diverse disciplines are invited to participate in the 2017 event entitled data driving discovery.
 


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