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Call for Applications - CODATA RDA Data Steward School 2019 - Deadline 1 June 2019

The CODATA-RDA Research Data Science Summer School provides training in the foundational skills of Research Data Science. Contemporary research – particularly when addressing the most significant, transdisciplinary research challenges – cannot be done effectively without a range of skills relating to data.

The school is held at the [International Centre for Theoretical Physics]( running from August 5-16. The venue, the Adriatico Guest House, is a delightful self-contained site, overlooking the sea,where there is accommodation, lecture halls, a terminal room and a canteen.


This year the school will be running a parallel strand that is oriented to students who are interested in Data Stewardship.

The curriculum for these students will be

  • Open Science
  • Introduction to Unix Shell
  • Programming for Analysis
  • Git
  • Research Data Management
  • Author Carpentry
  • Introduction to Information Security
  • Metadata & Persistent Identifiers
  • Data discovery and automated DMP’s
  • Repositories
  • Ontologies
  • Linked data

The first week of the school will be for both Early Career Reseachers (ECR’s) and Data Stewards. The seocnd week will break into two parallel strands, one focussing on Data Science techniques for ECR’s and the other for Data Stewards.

The provisional detailed programme can be found here with a breakdown of the shared and separate courses.

Graduate students or ECR’s considering a career in Data Stewardship and Early Career Data Stewards would benefit most from this school.

This school is a part of a planned series of CODATA-RDA schools that will run in Europe as part of the FAIRsFAIR initiative.

There is space for 5 students who wish to take the Data Steward strand. Students wishing to attend this strand will need to cover their accommodation and travel expenses to the school but there are no registration fees. Single rooms at the Adriatico start at €50 per night.

As this is a pilot students attending this strand will be interviewed afterwards to get feedback to improve the curriculum.

Candidates interested in attending should contact the director of the Data Steward strand, Hugh Shanahan before June 1.


The Call for Presentations and Posters for CODATA 2019 Beijing: Towards next-generation data-driven science: policies, practices and platforms, 19-20 September has now been released.  Please submit proposals at by the deadline of 24 June.
Registration is also now open!  The Conference Website now has information for registration, accommodation and visa matters.  Make your arrangements as soon as possible.
CODATA 2019: Towards next-generation data-driven science: policies, practices and platforms
Science globally is being transformed by new digital technologies.  At the same time addressing the major global challenges of the age requires the analysis of vast quantities of heterogeneous data from multiple sources.  In response, many countries, regions and scientific domains have developed Research Infrastructures to assist with the management, stewardship and analysis.  These developments have been stimulated by Open Science policies and practices, both those developed by funders and those that have emerged from communities.  The FAIR principles and supporting practices seek to accelerate this process and unlock the potential of analysis at scale with machines.  This conference provides a significant opportunity to survey and examine these developments from a global perspective.
The conference themes and guidelines for proposals for presentations and posters may be consulted at
The conference will follow a high-level workshop, 17-18 September 2019, on ‘Implementing Open Research Data Policy and Practice’ that will examine such challenges in China and elsewhere in the light of the emergence of data policies and in particular the China State Council’s Notice on ‘Measures for Managing Scientific Data’.
Applications are also open for the CODATA China 2019 Training Workshop: Scientific Big Data and Machine Learning deadline 30 May.
We advise you to register, to make travel, accommodation and visa arrangements as soon as possible.
Practical information about the conference is available at

Registration is now open at - Please register as soon as possible!

We suggest you make your visa application as soon as possible.  Please find useful information at

The conference venue is the Friendship Hotel.  Please find useful information at  Again we suggest you make accommodation arrangements at the Friendship Hotel or nearby as soon as possible.

For any further assistance and information please consult the website and contact details

CODATA International Training Workshop on Scientific Big Data and Machine Learning

9-20 September 2019, Beijing, China

Deadline for Applications, 30 May 2019 
Further information and application form:
CODATA China and the Computer Network Information Center, Chinese Academy of Sciences are organizing an international training workshop on "Scientific Big Data and Machine Learning" in Beijing from 9-20 September 2019. Supported by CODATA, CODATA China has successfully held similar training workshops since 2012 and this is the 5th event in the series. The training course is funded by the Chinese Academy of Science and qualified applicants will receive full support for travel to Beijing as well as their subsistence and accommodation when at the workshop.

Participants in the Training Workshop will also attend the CODATA 2019 Beijing Conference: Towards next-generation data-driven science: policies, practices and platforms.  Applicants are encouraged also to submit a paper or poster for the conference.

The deadline for applications is 11:59 pm CST (UTC+8) on 30 May.
Due to advances in information technology, we are witnessing an explosion in digital data through all forms of human activity: much of this data can also contribute to the production of knowledge for all domains of enquiry and across domains, as well as providing essential information for decision-making in response to global challenges such as sustainable development, disaster risk reduction, climate change, the growth of cities, the maintenance of biodiversity etc., etc. In order to meet the many global challenges and to take advantage of the opportunities of the data revolution, it is imperative to develop global skills and capacity in the science of data.

The mission of CODATA, the Committee on Data of the International Science Council, is to support the advancement of science as a global public good by promoting improved research data management and use, and by advancing data science and the enhanced exploitation of data in all areas of scientific research. Building data science capacity in countries with developing and emerging economies (in part through promoting technical training in data science, in data management and in the implications of the data revolution for science) is an important part of CODATA’s strategy.

The training program offered aims to engage participants with a number of facets of data science and data management in the age of the data revolution and Big Data. Topics include, but are not limited to:
  • Basic data science skills (e.g. Introduction to data infrastructures in CAS, data carpentry, data management plan)
  • Machine learning and data driven scientific discovery
  • Scientific data policies, good practices, norms, specifications and standards
  • Selected disciplinary scientific data stewardship exemplars (e.g. geoscience, biology, genomics, astronomy, etc)
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). During 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.
How to Apply: 
Apply at to complete the online form and to submit the necessary support documents.  The deadline is 23:59 CST (UTC+8) on 30 May.
You will be asked to complete an application form with personal information and to submit supporting document. Once you have created an account and entered the personal information you will need to click on [Submission] to access the page to upload your supporting document.
The supporting document should comprise your CV, a personal statement (of no more than one side) and references combined as a single PDF file (maximum volume 20MB).

The personal statement should describe your interests and why you want to do the Training Workshop.  You should answer these questions:
  1. What expertise and qualities would you bring as a participant?
  2. What specific topics would you like to cover and how will this help you?
  3. How would you hope to apply the experience gained from the course in your own country? 
Please consult Eligibility and Important Dates
Further information about the training programme and contact details is available on the Training Workshop Website

WDS Data Stewardship Award 2019: Call for Nominations Open!

The Call for Nominations for the 2019 WDS Data Stewardship Award is now open until 29 July 2019. This annual prize celebrates the exceptional contributions of early career researchers to the improvement of scientific data stewardship through their (1) engagement with the community, (2) academic achievements, and (3) innovations. We are also pleased to announce that the process has been opened up from this year, and nominations may now be made any scientific organization, group, body, union, or otherwise.

The winner for the 2019 Data Stewardship Award will be presented with their Award and a prize in plenary at the next SciDataCon (dates and venue to be confirmed)—alongside the 2020 Award winner—with their attendance covered by the World Data System.

If you know of an early career researcher who deserves to have their accomplishments recognized and highlighted to the international community then please be sure to complete the below form (see notes) and send it to the WDS International Programme Office by 29 July 2019. We also encourage you to disseminate this information far-and-wide.

  • WDS Data Stewardship Award 2019 (Word / PDF)

Second White Paper on Next Generation Disaster Data Infrastructure

The work of Linked Open Data for Global Disaster Risk Research (LODGD) task group of CODATA is an increasingly important activity linking four global milestones – the Sendai Framework for Disaster Risk Reduction (SFDRR), Sustainable Development Goal (SDG), Paris Agreement for Climate Change and the New Urban Agenda (NUA)-Habitat III. The Sendai Framework recognises this need in its guiding principles: ‘Disaster risk reduction requires a multi-hazard approach and inclusive risk-informed decision-making based on the open exchange and dissemination of disaggregated data, including by sex, age and disability, as well as on easily accessible, up-to-date, comprehensible, science-based, non-sensitive risk information….’ (Sendai Framework 2015 paragraph 19g). However, assessment processes are challenging, as they require collaboration and participation across multiple sectors, data integration, interpretation as well as the establishment of a mechanism to share data within and across UN member states, the UN system and other stakeholders. The LODGD produced series of white papers to provide policy guidance, technical understanding on data and disaster science to informs readers concisely about a complex issues, gap analysis on data interconnectivity, data infrastructure and data driven policies on disaster risk reduction. 
In this regards, the draft white paper 2 on "Next generation disaster data infrastructure" has been structured and drafted the first version for comments and review. This white paper proposes the next generation disaster data infrastructure, which includes the novel and most essential information systems and services that a country or a region can depend on in reality in order to successfully gather, process and display disaster data, and to reduce the impact of natural disasters. Fundamental requirements of the disaster data infrastructure include (1) effective multi source big disaster data collection (2) efficient big disaster data fusion, exchange, and query, (3) strict big disaster data quality control and standard construction, (4) real-time big data analysis and decision making and (5) user-friendly big data visualization. The rest of the paper is organized as follows: first, several future scenarios of disaster management are developed based on existing disaster management systems and communication technology. Second, fundamental requirements of next generation disaster data infrastructure inspired by the proposed scenarios are discussed. Following that, research questions and issues are highlighted. Finally, suggestions and conclusion are given at the end of the paper.

The draft white paper 2 is released for comments to coincide with the upcoming Global Platform in Geneva, 13-17 May 2019. The draft white paper can be accessed here <> as Word or PDF or from Google Drive  We invite comments, constructive criticism and suggestions for improvement by 30 June 2019. Please add comments and suggestions to the Google doc or send them to Edward Chu <> and  Bapon Fakhruddin <>.  The report will be refine and improved thanks to your inputs and suggestions.

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