News

CODATA International Training Workshop on Scientific Big Data and Machine Learning

Date: May 10, 2019


9-20 September 2019, Beijing, China

Deadline for Applications, 30 May 2019 
Further information and application form: http://ccit2019.csp.escience.cn/dct/page/1
 
Information:
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.
 
Objective:
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 http://ccit2019.csp.escience.cn/dct/page/70005 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!

Date: May 10, 2019

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

Date: May 9, 2019

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 <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 <[email protected]> and  Bapon Fakhruddin <[email protected]>.  The report will be refine and improved thanks to your inputs and suggestions.


CODATA and IIASA Collaboration Facilitated by TG on Data-Driven Applied Systems Analysis

Date: May 9, 2019

On Friday 26 April, a CODATA delegation met with colleagues from IIASA (International Institute for Applied Systems Analysis). The purpose of the meeting was to establish a dialog between IIASA and CODATA and discuss possible joint collaboration. Among principal results was an agreement to held a workshop at the end of 2019 in IIASA with active participation of IIASA programm directors and leaders of a newly elected CODATA Task Group Advanced mathematical tools for data-driven applied systems analysis. The objective of the Task Group is development of an advanced mathematical toolkit for the wide spectrum of applied systems analysis problems, that we can be expected to face in the near future while building a global digital economy.

 


Disaster Risk Reduction and Open Data Newsletter: May 2019 Edition

Date: May 1, 2019

United Nations Office for Disaster Risk Reduction - 2018 Annual Report

The 2018 annual report provides an overview of the results achieved by the UNISDR in relation to the three Strategic Objectives and two Enablers of its Work Programme 2016-2019.
 
SDSN - guides on localising sustainable development indicators
What frameworks can be used to localise global and national indicators for sustainable development? These reports from the Sustainable Development Solutions Network document the efforts to bring Sustainable Development goals to the sub-national level.
 
SDSN - guides on localising sustainable development indicators
What frameworks can be used to localise global and national indicators for sustainable development? These reports from the Sustainable Development Solutions Network document the efforts to bring Sustainable Development goals to the sub-national level.
 
Read the full newsletter here


Call for Applications - African Open Science Platform School of Research Data Science - deadline 10 May

Date: Apr 30, 2019

The African Open Science Platform School of Research Data Science, in collaboration with the CODATA-RDA Data Schools Initiative will take place on 17-28 June 2019 at Addis Ababa University, Ethiopia. The deadline for applications is 10 May: https://e-applications.ictp.it/applicant/login/9010

The goal of this school is to train researchers in Research Data Science (RDS). RDS refers to the principles and practice of Open Science and research data management and curation, the use of a range of data platforms and infrastructures, large scale analysis, statistics, visualization and modelling techniques, software development and data annotation. These are important tools for extracting useful information from data and these tools are useful in every research area. A 10-day school, organized by the African Open Science Platform (AOSP), the Ethiopian Academy of Sciences (EAS), CODATA: the Committee on Data of the International Science Council, the Research Data Alliance (RDA), the International Centre of Theoretical Physics (ICTP) and East African Institute for Fundamental Research (EAIFR), will be conducted at Addis Ababa University to introduce participants to the skills of RDS.

Topics covered

  • Open Science
  • Unix Shell
  • Version Control
  • Introduction to R
  • Research Data Management
  • Databases and SQL
  • Data Visualization
  • Machine Learning and Artificial Neural Networks
  • Research Computational Infrastructure

Directors

Robert Quick
UITS Research Technologies, Indiana University
rquick (at) iu.edu       

Louise Bezuidenhout
Institute for Science, Innovation and Society, University of Oxford
louise.bezuidenhout [at] insis.ox.ac.uk

Solomon Gizaw
Department of Computer Science, Addis Ababa University
solomong [at] aau.edu.et

Participation Information

This school is open to researchers in every field. Science graduates (masters and doctoral levels) working in data intensive fields will find it particularly useful. Female candidates are strongly encouraged to apply. Selection of participants will be based on their technical background and also the urgency of their needs to apply the tools of RDS.

Applications for participation for the workshop must be made at: https://e-applications.ictp.it/applicant/login/9010

Deadline for applications: May 10, 2019

For further information contact: [email protected]

Information for Applicants

There is no registration fee for this event.  Some support for travel and accommodation is available and its allocation will be determined during the selection process.  Much of this funding is intended for participants from lower and middle income countries. Potential participants have the opportunity to indicate they need support in the application.  Self-funded participants are welcome. All applicants are strongly encouraged to look for alternative ‘third-party’ sources of funding to support their participation. Applicants are expected to be based in Ethiopia or certain countries in the surrounding region (Eritrea, South Sudan, Somalia and Central African Republic). 

The AOSP School of Research Data Science, in collaboration with CODATA-RDA, is open to researchers in any discipline.  The data skills taught are also useful for (data) librarians and other research support staff, such as those who envisage a career as data steward or data analysts.  Furthermore, people who are more advanced in their careers who would like to improve their data skills as a form of continuing professional development are also eligible.

Participants will be selected on merit from a very competitive field.  Applicants are urged therefore to ensure they pay careful and full attention to the requirements of the application process.  

Selected participants for this School will have a baseline of data skills and these will have been tested by an online form.  

Applicants should pay particular attention to their personal statement and communicate persuasively their reasons for wishing to attend the School: how do they intend to use these skills and experiences, how will participation in the Summer School and/or Advanced Workshops benefit their research or the institution in which they work?  Finally, candidates should take pains to ensure that their application is well supported by references from their past or present tutors or line managers. This is particularly important so that the directors and organisers of these events have confidence in the candidate and that the skills learnt will have the maximum benefit and impact.


Growing the Conversation on the Science of Data

Date: Apr 29, 2019

CODATA is pleased to announce Mark Parsons as the new Editor-in-Chief of the Data Science Journal.
 
In his blog post, Mark writes: 'I am especially interested in helping DSJ build its niche as an influential journal of the ‘science of data’ in the sense that CODATA described it decades ago. We need more fora that encourage dialog across research and practice to understand all the issues around the socio-technical work necessary for data to be findable, accessible, interoperable, reusable, ethical, secure, etc.’ ...
 
'I have been a member of the DSJ editorial board since the journal moved to Ubiquity Press, and I have been impressed at how Sarah Callaghan and other editors have worked to increase the journal’s quality. I want to continue this momentum. I want to further bolster the review quality and also raise the possibility of open reviews. The nature of DSJ is that it often attracts submissions and requires reviews from practitioners who have much less of a mandate to publish than researchers. I believe practitioners should be encouraged to contribute (with research as well as practice papers), so we should do what we can to recognize and model excellent contributions in this area. ...

'Thanks to Sarah’s great work, DSJ has a bright future as submissions continue to increase in number and quality. DSJ was ahead of its time when it was founded in the 1990s. I am eager to explore how it can continue to push important conversations forward. I welcome all your ideas. Please tell me what you think. Better yet, tell the community through a submission to DSJ https://datascience.codata.org/submit/start/ !
 
 
Mark replaces Sarah Callaghan, who has served since 2015, when the Data Science Journal was moved to its current platform with Ubiquity Press.
 
Sarah writes:
 
'In my four year tenure, I am very proud of the fact that 135 papers have been published, along with 6 Special Collections with another 5 Special Collections in the pipeline. The journal has grown more popular and is steadily publishing research that is more impactful as time goes on [https://www.scimagojr.com/journalsearch.php?q=4700152809&tip=sid], and this is a testament to the hard work of all involved – including our reviewers and authors.


'It is time for me to hand over the role of EiC to another, and it is with no small amount of sadness that I do so. Being EiC has been incredibly rewarding (and occasionally infuriating) and I have learned a great deal from it. I am very pleased to know that Mark Parsons is taking over the role, and know that the journal will be in safe, knowledgeable hands.

'It only remains for me to say my farewells and thank yous. Thank you to the authors, without whom there would be no articles to publish. A thousand thank yous to all my editors, reviewers, colleagues and friends – your efforts on behalf of the journal are deeply, deeply appreciated, as is your wisdom and expertise. I wish you all the very best for the future, and look forward to reading more excellent papers published in the DSJ!’

 
 


One week to go: CALL FOR SESSIONS FOR CODATA 2019 BEIJING: DEADLINE 29 April 2019

Date: Apr 22, 2019

CALL FOR SESSIONS – DEADLINE 29 April 2019  https://conference.codata.org/CODATA_2019/

The CODATA 2019 Conference will be held on 19-20 September 2019 in Beijing, China. This year’s conference theme is: Towards next-generation data-driven science: policies, practices and platforms.  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’.

CODATA 2019: Towards next-generation data-driven sciencepolicies, 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 convening organisations are pleased to invite you to contribute to the program by proposing sessions.  The deadline for session proposals is 29 April 2019: https://conference.codata.org/CODATA_2019/submit/

All proposals related to open science and open data, FAIR data, research data management and stewardship, research infrastructures and platforms are welcomed. The following themes are of particular interest:

1. FAIR and Open data policies

  • Open data policies, their implications and implementation
  • FAIR data, its challenges and opportunities
  • Incentives and metrics for data and research contribution
  • Trustworthiness and sustainability for FAIR data, research infrastructures, data repositories
  • Co-operation in research data policies and management at international, national and institutional levels
  • Data policies towards the next-generation open science community 

2. Advanced research infrastructures for Open Science and FAIR data

  • Opportunities and challenges in research infrastructures.
  • Disciplinary technical infrastructure for research data management and data stewardship.
  • The development of Open Science Clouds, Platforms and Commons: a new model for coordination?
  • Successes and models for different aspects of the research data management and stewardship infrastructure
  • Institutional research data management and stewardship status, models and challenges.
  • Data management technologies and interoperability between human and technical processes.
  • Data science education and training.
  • Business models for Open Science, FAIR data, research infrastructures and data stewardship.
  • Key data specifications, RDM protocols and research infrastructures
  • Other technologies and standards feature open data issues. 

3. Data driven scientific discovery and decision-making.

  • Case studies and exploration of science discoveries based on data-driven research
  • Data-driven decision-making, from data to evidence
  • Disciplinary data applications
  • Data success stories 

4. Data intensive research for international scientific and global challenges

  • FAIR data, interoperability and data integration in multi-disciplinary research areas.
  • Data-driven practices in support of the United Nation’s sustainable development goals.
  • Data-driven practices in support of Sendai and disaster risk reduction
  • Data-driven practices in support of Resilient Cities; biodiversity; climate change adaptation; agriculture; hydrology and other research areas.

Programme

  • Sessions: Sessions will be 90 minutes.  Two session formats are suggested: 1) papers sessions which may include research papers, practice papers or a mixture of these; 2) lightning talks followed by a structured panel discussion.  Paper presentations should be a minimum of 15 minutes; papers sessions should include a maximum of 4-5 papers.
  • Keynote speakers: there will be keynote sessions on the morning of each day. 
  • Plenary panel discussion: the conference will close with a Plenary Panel discussion featuring short presentations.
  • Poster session: there will be a poster session on the later afternoon of the first day. 

Important dates:

1 February: Call for Session Proposals Released

22 April: Registration Open

29 April: Deadline for session proposals

13 May: Accepted session proposals notified; call for presentations and posters released

17 June: Deadline for presentation submissions and first round of poster submissions

8 July: Submitters notified of acceptances of full presentations and posters

1 August: Close of second round of poster submissions

18 August: Close of early bird registration

17-18 September: High Level Workshop on 'Implementing Open Research Data Policy and Practice’

19-20 September: CODATA 2019 Conference ‘Towards next-generation data-driven science: policies, practices and platforms’

Organization

  • Convenors: CODATA, CODATA China
  • Supporter: Minister of Science and Technology (MOST), Chinese Academy of Sciences (CAS), NSFC
  • Local organiser: Computer Network Information Center, CAS; National S&T Infrastructure Center, MOST 

Possible venue (TBC): the Friendship Hotel of Beijing.

The Friendship Hotel of Beijing is one of the largest garden-style hotels in Asia. Located in the heart of ZhongGuanCun Hi-Tech Zone, the Friendship Hotel neighbours many world famous tourist sites and universities such as Tsinghua and Peking University, the Summer Palace.

Address: Zhongguancun South St. Beijing 100873, P.R. China

Website: http://www.friendshipshotel.com/en/


Dialogue on Open Science and FAIR Data - Kenya

Date: Apr 18, 2019

 
CODATA (CODATA President Prof Barend Mans & CODATA Executive Director Dr. Simon Hodson) on Monday 16 April 2019 had an excellent meeting with Kenya HE VP Williams Ruto and his team on #FAIRdata #OpenScience #OpenData #OpenGovernment
 
 

Read Prof. Muliaro: The advent of big data heralds huge opportunities

 
Congratulations all, and to Kenya, in making progress towards promoting Open Data, to benefit all!


Public Lecture: Openness in Data, Science and Governance

Date: Apr 15, 2019

CODATA's Executive Committee member, Professor Muliaro Wafula will be giving a public lecture on 'Openness in Data, Science and Governance' at the Jomo Kenyatta University of Agriculture and Technology. CODATA's President, Barend Mons and CODATA's Executive Director, Simon Hodson will attend this event.

Location: Jomo Kenyatta University of Agriculture and Technology, ICT Centre of Excellence and Open Data-iCEOD.

Venue: Assembly Hall, JKUAT Main Campus

Time: 1.50 pm – 4.00 pm

Date: Monday, April 15th, 2019

Registration: Entry is free

Download the flyer


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