CODATA 2017 Conference, 'Global Challenges and Data-Driven Science’, 8-13 October 2017, Saint-Petersburg, Russia: http://codata2017.gcras.ru/
Date: Jun 6, 2017
Now Accepting Submissions for Sessions and Papers: deadline 30 June http://conference.codata.org/2017/submit/
The purpose of the CODATA 2017 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. The priority themes of CODATA 2017 http://conference.codata.org/site/themes-scope/
- Achievements in Data Driven Science: covering concrete achievements in data-driven science across all research areas;
- Earth Observations Data and the Earth’s System: including data collection, analysis and integration of Earth observations and the study of the Earth’s system;
- Data and Disaster Risk Research: covering the collection, analysis and integration of data for disaster risk research;
- Data Driven and Sustainable Cities: covering the use of data for Smart Cities, sustainable and resilient urban development;
- Big Data in Scientific and Commercial Sectors: covering the shared data challenges of Big Data management and analysis in both the scientific and commercial sectors;
- Data Analysis, Event Recognition and Applications: covering the fundamental and practical issues of relating data analysis, event recognition and application;
- National and International Data Services: covering the coordination and development of national and international data services;
- Research Data Services in Universities: covering the development of research data services in universities and other research organisations;
- Coordination of Data Standards and Interoperability;
- FAIR Data and the Limits of Open Data;
- Metrology, Reference Data and Monitoring Data: covering fundamental physical constants, metrology, issues around the reliability and standardisation of reference data in all domains;
- Sessions and abstracts concerning other themes relating to data policy, data science and data management for all areas of research will be considered.
CODATA 2017 is running simultaneous proposals for sessions and papers. The deadline for both types of proposal is 30 June 2017.
It is the responsibility of session organisers to ensure that the papers that comprise a proposed session are also submitted by the deadline of 30 June.
Papers may be proposed either 1) in relation to simultaneous proposal for a session; or, 2) independently of a session proposal in order to be assigned to an appropriate thematic session by the organisers.
The conference will take place in the wonderful setting of the St. Petersburg Museum of Art. See http://codata2017.gcras.ru/
for further information about the venue, location, accommodation and registration.
Open Review of IRIDIUM Research Data Management Glossary is now invited and is open until 30 June 2017
Date: Jun 5, 2017
The International Research Data Management (IRiDiuM) Glossary (http://www.codata.org/working-groups/standard-glossary-for-research-data-management-iridium) and (http://dictionary.casrai.org/Category:Research_Data_Domain) is intended as a practical reference for individuals and working groups concerned with the improvement of research data management, and as a meeting place for further discussion and development of terms.
The aim is to create a stable and sustainably governed standard glossary of community accepted terms and definitions, and to keep it relevant by maintaining it as a ‘living document’ that is updated when necessary.
Definitions should be clear and unambiguous, and where possible, fit with common usage. Definitions should be apposite across research data management activities of key stakeholders, including, but not limited to: researchers/authors, research management, research policy, computer science, IM/IT, research administration, libraries; scholarly publishers, and research funders. Some terms may have more than one definition, in which case the relevant context should be specified.
In this year’s first review cycle, the Working Group convened by CASRAI, CODATA and Research Data Canada has delivered a subset of new and edited terms for addition to the IRIDUM Glossary.
IRiDiuM is led by a Program Committee: https://forum.casrai.org/groups/ca-IRiDiuM-pc
Open Review is now invited for these new and revised terms. This review is open until June 30, 2017.
The new and revised terms are listed at https://forum.casrai.org/c/dev/iridium - to comment on the terms you will need to register on the forum.
Essex Big Data and Analytics Summer School
Date: May 24, 2017
INSTITUTE FOR ANALYTICS AND DATA SCIENCE
24th July - 4th August 2017
University of Essex, Wivenhoe Park, Colchester, United Kingdom
The Essex Big Data and Analytics Summer School is a multidisciplinary research training event and forum for knowledge exchange and networking for graduates, postgraduates, researchers and professionals in the emerging fields of data science, analytics and big data who would like to find out more or be updated on the current trends and developments in this exciting and fast-developing field. The Summer School is organized by the Institute for Analytics and Data Science (IADS) at the University of Essex, UK.
This is the third year that the Big Data and Analytics Summer School is running and following the successful events in previous years, the programme covers a range of topics from the curation and management of big data, advanced techniques and methods including artificial intelligence and statistical methods, and applications of big data in fields ranging from business and finance to bioinformatics. Courses are offered for participants with a science, social science or humanities background at different levels (Beginners, Intermediate or Advanced). Courses range from theoretical to lab-based or a mixture of theory and lab-based instruction and practice. Thirty five courses will be delivered by academic and industry experts in parallel sessions over the two week period. Participants can attend either one week or both and can choose the courses of most interest to them to create their own programme of study. For more detailed information on the range and content of courses visit:
The Summer School includes keynote lectures from academic and industry experts delivered over the two weeks.
Social events will be organised each week to enable participants to network and share ideas and experience of data analytics, data science and big data.
Registration and further information
Spaces in the various courses are allocated on a first come first served basis and are limited, so early registration is advised to avoid disappointment and take advantage of the early registration discount.
A number of scholarships are available, in particular for participants from developing and transitioning countries (see website for information).
For further information or specific queries, please email the Emma McClelland, Summer School Administrator, at: firstname.lastname@example.org.
Call for Nominations for the 2017 TWAS Young Affiliates: Closing on 31 May 2017
Date: May 23, 2017
The World Academy of Sciences Regional Office for sub-Saharan Africa (TWAS-ROSSA)
would like to kindly request TWAS and AAS fellows, TWAS Affiliates, Science Academies and fellows, Young Academies of Science, Research Institutions, Research Councils, Universities, Government entities, and individual scientists from the Science and Technology Lagging Countries (STLC’s)
listed below to submit applications/nominations for the TWAS Young Affiliates 2017.
Angola, Benin, Burkina Faso, Burundi, Cameroon, Central African Rep, Congo, Côte d’Ivoire, Dem. Rep. Congo, Equatorial Guinea, Ethiopia, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mozambique, Rwanda, Senegal, Somalia, South Sudan, Sudan, Swaziland, Tanzania, Togo, Uganda, Zambia, Zimbabwe.
TWAS-ROSSA invites you to nominate suitable candidates for the 2017 TWAS Young Affiliates. The honour is given to researchers from developing nations who have at least 10 international publications. The nominees should show potential for a high-impact career. During their five-year tenure, Young Affiliates build networks with other affiliates and with elected TWAS Fellows. They also attend international conferences such as the TWAS General Meeting where they make contributions and are exposed to mentoring as well as collaboration opportunities. The five selected TWAS Young Affiliates will also be part of and work closely with the TWAS Young Affiliates Network (TYAN) which was established in 2016 during the 27th TWAS General Meeting in Kigali, Rwanda. TYAN is anticipated to bring fresh energy to the Academy by creating links among early career scientists and promoting international collaboration.
Nominations are invited from TWAS and AAS fellows, Members of National Academies and fellows, Members of National Young Academies of Science, Research Institutions, Research Councils, Universities, Government entities and other such bodies that have or know this talent in sub-Saharan Africa. Self-Nomination is also acceptable. Nominations of women and young scientists from Science and Technology Lagging countries is highly encouraged.
Nominees must be aged 40 or less and living and working in a developing country. More information is provided on the attached nomination form. Kindly use the form to submit your nomination. All nominations must be forwarded to email@example.com
by 31 May 2017
For more information about TWAS-ROSSA, visit the website
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 firstname.lastname@example.org
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
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
[…] 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:
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
- 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.
[…] 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.
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.
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