News

Call for Nominations for the TWAS Regional Prize 2017: Public Understanding and Popularization of Science - 20 June 2017

Date: May 23, 2017

The World Academy of Sciences Regional Office for sub-Saharan Africa (TWAS-ROSSA) invites you to nominate suitable candidates for the TWAS Regional Prize. TWAS-ROSSA seeks to honour an outstanding scientist who has made significant contributions to popularise science, and has developed new strategies that serve the popularization of science and technology in the developing world. The prize is awarded in fulfilment of the TWAS objective of recognising, supporting and promoting scientific capacity and excellence in the developing world. The ideal candidate would meet at least one of the following criteria:
 
  • Scientific research achievement of outstanding significance for the development of scientific thought.
  • Outstanding contribution to the application of Science and Technology to industry or to human well-being in the developing world.
 
The award comprises an award certificate with a citation on the winner’s scientific achievement, as well as a cash prize of 3000 USD. The winner will be announced at the Annual TWAS General Assembly and Conference. The prize will be awarded formally by TWAS-ROSSA at a suitable event thereafter.  
 
Nominations are invited from TWAS and AAS Fellows, Fellows/Members of National Academies and Young Academies in the region, Research Institutions, Research Councils and Universities in the region. The nomination of women and scientists from Science and Technology Lagging Countries (STLC’s) is highly encouraged.
 
The regional office also request you to further disseminate this call to your databases and network in sub-Saharan Africa.
 
The completed nomination form and the supporting documents must be submitted to twasrossa@assaf.org.za by 20 June 2017.
 


BioSharing Recommendations Webinar, 23 May, 12.00 UTC: data repositories, standards and policies in the life, biomedical and environmental sciences

Date: May 22, 2017

BioSharing Webinar: Tomorrow, Tuesday 23 May at 12.00 UTC, the joint RDA-Force 11 Working Group on BioSharing will present recommendations relating to the BioSharing portal.  
 
 
BioSharing (https://www.biosharing.org) is a curated, web-based searchable portal of three linked registries of content standards, databases, and data policies in the life sciences, broadly encompassing the biological, biomedical and environmental sciences. In this webinar Peter will present BioSharing, with a special focus on the mapping of resources from community projects and journal publishers.

Launched in 2011 and built by the same core team as the successful MIBBI portal, BioSharing harnesses community curation to collate and cross-reference resources across the life sciences from around the world. Every record is designed to be interlinked, providing a detailed description not only of the resource itself, but also on its relationships with other life science infrastructures. BioSharing maps the dynamic landscape of over 600 community-developed standards, monitoring their development, evolution and implementation in (over 700) databases, detailing their adoption in funder and journal data policies. BioSharing content can be searched using simple or advanced searches, explored via a step-by-step wizard, filtered via our faceted search, or grouped as 'Collections' or Recommendations (which are based on a data policy). Examples are the  TDWG Biodiversity Information Standards (https://biosharing.org/collection/TDWGBiodiversity), and the PLOS Data Policy recommendation (https://biosharing.org/recommendation/PLOS). As a community effort, BioSharing offers users the ability to 'claim', edit and update records. BioSharing cultivates an active user community, operating via an open working group under Force11 and the Research Data Alliance. The Recommendation from our RDA WG is now available for community review (http://dx.doi.org/10.15497/RDA00017).
 
Target audience: Standard developers, database curators/developers, policy makers, data repository managers, research administrators, data managers, project coordinators and researchers will all benefit from participation.

Presenter: Dr Peter McQuilton, University of Oxford e-Research Centre (UK).  Dr Peter McQuilton is the Project Coordinator for the BioSharing project (https://www.biosharing.org), based at the University of Oxford e-Research Centre (UK). He holds a PhD in Drosophila embryonic nervous system development from the University of Cambridge, UK. Prior to working on the BioSharing project, he worked for over 10 years as a Biocurator at FlyBase (http://www.flybase.org), an NIH-MRC-funded Model Organism Database focused on the genetics and genomics of Drosophila melanogaster (the fruitfly that bothers your wine in the summer). Peter has been heavily involved in the standardisation and promotion of Biocuration and his work in this area has culminated in election to the International Society of Biocuration executive committee. As BioSharing Project Coordinator, Peter’s activities are in and around data curation, text-mining, ontology design, and data sharing and publication in the life, natural and biomedical sciences


OPEN NOW: Call for Applications PhD Fellowships for Women Scientists from Developing Countries

Date: May 12, 2017

PhD Fellowships for Women Scientists from Developing Countries 

OWSD is proud to announce that the call for applications is now open and the forms are online! 

The Fellowship is offered to women scientists from eligible countries to undertake PhD research in science subjects at a host institute of recognized international reputation in the South. Each fellowship is offered for up to four years and can cover the following:

  • Monthly allowance to cover basic living expenses while in the host country
  • Travel allowance to attend international conferences 
  • Return ticket from the home country to the host institute for the agreed research period
  • Visa expenses
  • Annual medical insurance contributionThe opportunity to attend regional science communications workshops, on a competitive basis
  • Study fees (including tuition and registration fees) in agreement with the chosen host institute

For details, please go to https://owsd.net/career-development/phd-fellowship#menu-development


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/


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