.jpg "International Data Week 2018: The Digital Frontiers of Global Science, 22-26 Oct")
.png "Turning FAIR Data into Reality - Report and Action Plan Consultation until 5 Aug")
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News & Articles
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](https://www.ictp.it/ 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 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. CODATA 2019 BEIJING: CALL FOR PRESENTATIONS AND POSTERS, DEADLINE 24 JUNE - REGISTRATION OPEN
CODATA International Training Workshop on Scientific Big Data and Machine Learning
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. Second White Paper on Next Generation Disaster Data Infrastructure
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 <https://doi.org/10.5281/zenodo.2682654> as Word or PDF or from Google Drive https://docs.google.com/document/d/1qG4EyjuA6i2rEIjnVX2f7b33YJ5x3FYrdZJtG_pK2cI/edit?usp=sharing. 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 <edwardchu@yuntech.edu.tw> and Bapon Fakhruddin <BFakhruddin@tonkintaylor.co.nz>. The report will be refine and improved thanks to your inputs and suggestions.
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.
Registration is now open at http://codata2019.csp.escience.cn/dct/page/70017 - Please register as soon as possible!
We suggest you make your visa application as soon as possible. Please find useful information at http://codata2019.csp.escience.cn/dct/page/70021
The conference venue is the Friendship Hotel. Please find useful information at http://codata2019.csp.escience.cn/dct/page/65559. 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 http://codata2019.csp.escience.cn/dct/page/65586
9-20 September 2019, Beijing, China
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:
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 personal statement should describe your interests and why you want to do the Training Workshop. You should answer these questions:
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.