News

Deadline approaching: 15 May. Information and applications at http://school2017.gcras.ru

Date: May 11, 2017

 

 

We are pleased to inform you of an upcoming one week summer school for young scientists "Methods of Comprehensive Assessment of Seismic Hazard", to be held at the Schmidt Institute of Physics of the Earth of the RAS (Moscow, Russia) on 3-7 July 2017.  

The School will offer MSc, graduate students and postdoctoral scientists the opportunity to study new methods developed recently for seismic hazard assessment and integration on the basis of the systems analysis of results obtained by these methods. Lectures and practical seminars at the School will be given by leading scientists representing Geophysical Center, Russian Academy of Sciences, Moscow, Russia (GC RAS), Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Moscow, Russia (IPE RAS), Institute of Earth Physics of Paris, Paris, France (IPGP), Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russia (IEPT RAS), University of Trieste, Trieste, Italy (UNITS) and other scientific institutions.

All current information on the School is available at the website http://school2017.gcras.ru/.

Applications are now being accepted, so consider participation of yourself and also please spread the information about the School to your colleagues who may be interested to attend. 
 


LEARN Project Toolkit of Best Practice for Research Data Management

Date: May 5, 2017

The LEARN Project has released its free Toolkit of Best Practice for Research Data Management: http://learn-rdm.eu/en/research-data-management-toolkit-now-available/
 
[…]  Research data is the new currency of the digital age. From sonnets to statistics, and genes to geodata, the amount of material being created and stored is growing exponentially. 
 
For research performing organisations, this deluge of data presents many challenges in areas such as policy and skills development, training, costs and governance. The LEARN Toolkit of Best Practice for Research Data Management is designed to help institutions address these challenges.

The Toolkit expands on the issues outlined in the LERU Roadmap for Research Data (2013). It is nearly 200 pages long, and includes:
  • 23 Best-Practice Case Studies from institutions around the world, drawn from issues in the original LERU Roadmap;
  • 8 Main Sections, on topics such as Policy and Leadership, Open Data, Advocacy and Costs;
  • One Model RDM Policy, produced by the University of Vienna and accompanied by guidance and an overview of 20 RDM policies across Europe;
  • An Executive Briefing in six languages, aimed at senior institutional decision makers.
The toolkit includes a chapter from CODATA President, Professor Geoffrey Boulton on ‘Why Open Data?’ which is available at https://doi.org/10.14324/000.learn.12
 
[…] Several years ago, rigorous data management was seen by many universities merely as a cost, as an “unfunded mandate”. Increasing numbers of universities now see open data as a necessary part of their future and plan to position themselves to exploit the opportunities that it offers. Some of the essential principles of good research data management have now been established as a result of hard won experience many of which are shared in this volume. The “hard” infrastructure of high performance computing or cloud technologies and the software tools needed to acquire and manipulate data in these settings are only part of the problem. Much more problematic is the “soft” infrastructure of national policies, institutional relationships and practices, and incentives and capacities of individuals. For although science is an international enterprise, it is done within national systems of priorities, institutional roles and cultural practices, such that university policies and practices need to accommodate to their national environment.
 
The final conference for the LEARN Project ‘Managing the Data Deluge: roles and responsibilities for your institution’ takes place today (Friday 5 May 2017) in London.  CODATA Executive Director, Simon Hodson, is participating in one of the panel discussions: http://learn-rdm.eu/en/events/final-conference/programme/


RDA EU-ENVRI Summer School on Data Management and Data Science - Deadline for Applications 12 May

Date: May 5, 2017

 
Together with ENVRI Plus RDA Europe is organising a one-week Summer School on Data Management and Data Science at 12-16 June 2017 in Helsinki/Espoo, Finland with hands-on practicing. The course will include various results from RDA groups.

The Summer School is targeted at students/PhDs/PostDocs from all domains as well as from the environmental sciences. The course covers theoretical and practical skills in data management and access.  The deadline for applications is 12 May.
 
More information about this opportunity can be found here: http://blogs.helsinki.fi/rdasummerschool/ ; information about the application process, conditions and requirements is available at http://blogs.helsinki.fi/rdasummerschool/costs-and-registration/ 
 
RDA EU-ENVRI Summer School on Data Management and Data Science
Data Science is a new methodology to better understand the complexity of environmental, living and societal systems and to exploit the huge amount of data being generated for scientific and business interests. Professional Data Science requires a deep understanding in techniques for efficient Data Management. It is not surprising that scientific labs and also industry are desperately looking for well-trained Data Scientists (DS) and Data Managers (DM). Yet there is no clear distinction in the job profiles and it makes sense to be trained in both sides of the same coin. While DS are more focusing on the analytics aspects, DM are focusing on aspects of how to organise, store, describe, and access data. Summer Schools are currently seen as one of the most effective way to train a new generation of data professionals ready to meet the challenges of DS and DM.

Therefore, ENVRI Plus cluster project active in the environmental science and the Research Data Alliance (RDA EU) globally active in defining social and technical recommendations joined forces to organise this summer school supported by a number of institutions and initiatives. The main goals of this course are to

  • Learn what is the state-of-art on FAIR compliant professional data management
  • Experience and practice with the latest software to manage and analyse data
 
Most of the time will be reserved for practical hands-on sessions. After the Summer School, participants will be able to successfully deal with a wide range of Data Science related activities. Throughout the course we will use environmental data, but the applied methods are widely independent of the nature of the data.

The course is primarily meant for master students, PhD students or post docs from the environmental sciences. However, we would also accept interested students from other scientific disciplines and experts from start-ups. We expect knowledge about programming since we will use scripting languages such as Python or PHP and basic knowledge about data.


Open Data and Open Science for the SDGs: UN STI FORUM Side Event, 15 May

Date: May 1, 2017

UN STI Forum Side Event, 15 May
 
Presented by the Committee on Data for Science and Technology (CODATA) and the International Council for Science (ICSU), with the UN Sustainable Development Solutions Network (UNSDSN)
 
The digital revolution has created enormous potential for scientific discovery, for efficiency and productivity in business, the economy and education, for socio-political innovation and for minimizing disaster risk. Harnessing the power of the digital revolution to achieve these ends through open data and open science will be essential if we are to maximize the probability of achieving the sustainable developments goals. Developing the capacities of national science systems to deploy open data concepts and tools to address these goals is therefore a vital priority. It is for these reasons that the International Council for Science (ICSU) and its Committee on Data for Science and Technology (CODATA) are working with UN agencies, governments, institutions and other international partners to create regional Open Science Platforms in Africa and Latin America & the Caribbean. The Platforms are digital ecosystems designed to provide a virtual space for scientists to:
  • find the tools they need for discovery and application;
  • develop capacities at all levels, from individuals to institutions/companies and to governments;
  • provide powerful digital tools to address major problems;
  • exchange ideas, best practice and opportunistic links with international data-science communities.
 
This side event will take place in Conference Room 4 at UN Headquarters, New York, between 6:15 and 7:30pm on the 15th May. The programme is:
 
Moderator: Dr Robert Chen (UNSDSN)
Presentations: 
- The Digital Revolution & the SGDs: Dr Heide Hackmann, Executive Director, ICSU.
- Africa & Latin America Open Science Platforms: Dr Geoffrey Boulton, President, CODATA.
Panel & General Discussions
 
 
Registration for Science, Technology and Innovation (STI) Stakeholders: https://docs.google.com/forms/d/e/1FAIpQLSfS8LhswBDDPrsiGiIOrSROuEEc-u84EWhf0CD2KH8rgWbvFw/viewform


International Training workshop on Big Data for Science and Sustainability

Date: Apr 18, 2017

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

Date: Apr 15, 2017

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

Date: Apr 14, 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

Date: Apr 13, 2017

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

Date: Apr 13, 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.
 


Apply for CODATA International Training Workshop in Open Data for Better Science - Deadline 25 April 2017

Date: Apr 3, 2017

In collaboration with CODATA China, CODATA is running an International Training Workshop Open Data for Better Science.  The workshop will take place in at the Computer Network Information Center, Chinese Academy of Sciences, Beijing from 10-21 July 2017.  The workshop is targeted at early career researchers as well as from research leaders and managers of research institutes from countries with developing or emerging economies.  Participation for successful applicants will be financially supported, thanks to a grant from the Chinese Academy of Sciences (CAS).  The deadline for applications is 25 April.

The training program offered aims to engage participants with a number of facets of data science and data management in the Big Data age.  Topics include, but are not limited to, interdisciplinary applications of open research data, data intensive research, data management policies, cloud computing, visualization, analytics and data infrastructure development in the Big Data Age.  Through a mix of theoretical study, workshop and practical sessions as well as field visits, the organizers aim to help participants develop a deeper expertise in the latest Big Data technologies for scientific discovery. 

A number of activities will be organized involving elite Chinese scientists, in order to promote knowledge sharing and to develop opportunities for future exchanges and collaboration.  Participants will benefit also from visits to a number of leading research institutes of the Chinese Academy of Sciences (CAS).  In these visits, participants will have the opportunity to learn from the scientific approach, management expertise, knowledge development and practical application which characterize activities at CAS institutes working at the frontiers of research.  Furthermore, the program will promote interaction and exchange of knowledge between experts and participants and among participants who will benefit greatly from exchanges with colleagues for a variety of academic and national backgrounds.

Application Procedure and Deadline

Applications should be completed on the designated form, providing all the requested information and an academic CV.  Completed applications should be submitted to both the addresses below by the deadline of 23.59 UTC on 25 April 2017:

Dr. Simon Hodson, Executive Director, CODATA: simon [at] codata.org
Ms. LI Chang, CODATA-China Secretariat: lichang [at] cnic.cn
 
Applicants are encouraged to apply for this workshop OR the CODATA-RDA Research Data Science Summer School and Applied Workshops, not to both.

Further Information


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