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CODATA 2019 Beijing ‘Towards Next-Generation Data-Driven Science 2019 Programme’ Programme and Keynotes

The keynote speakers and (near-final) programme for the CODATA 2019 Beijing Conference, ‘Towards Next-Generation Data-Driven Science 2019 Programme’ have been announced.  The conference will take place at the Friendship Hotel, Beijing, 19-20 September.
 
The keynote presentations will explore advances in Big Earth Data; the role of data science to support the UN landmark agreements (on the Climate Crisis, Sustainable Development Goals and Disaster Risk Reduction; the role of UNESCO in advancing Open Science; and, the importance of data and the concept of ‘urban health’ for resilient cities.
 
Please visit the Conference Home: http://codata2019.csp.escience.cn/dct/page/1
 
 
 

Keynote Speakers

Name: Professor GUO Huadong
Title: Director-General of the  Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS)

Title of the talk: 
CASEarth: A Big Earth Data Engineering Program
Read more
 

Name: Professor Virginia Murray
Title: Consultant in Global Disaster Risk Reduction, Public Health England

Title of the talk: 
Data Science and the UN Landmark Agreements
Read more

 
 
 

Name: Dr Peggy Efua Oti-Boaten
Title: Director of the UNESCO Division of Science Policy and Capacity Building

Title of the talk: Open Science, the role of UNESCO
Read more


Name:
 Dr. Franz W. Gatzweiler
Title: Professor at the Institute of Urban Environment, Chinese Academy of Sciences


Title of the talk: Urban metabolism and a systems approach to improve collective intelligence and cities' resilience
Read more

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.
 
We look forward to seeing you in Beijing!


Call for Applications - The CODATA-RDA Research Data Science School, Pretoria 13- 24 January 2020 - Deadline 15 October 2019

University of Pretoria – Department of Information Science in collaboration with DIRISA, SADiLaR and NeDICC

Duration: 13–24 January 2020
Location: Pretoria, South Africa

The school provides early career researchers (M-level to postdoc) with the foundational data science skills, which include technical skills and responsible research practices, to enable them to work with their data in an effective and efficient manner required by 21st-century research.

Description

The material covered by the programme is fundamental to all areas of research, and thus open to researchers and professionals from all disciplines that deal with signifi amounts of research data. The goal is to provide a practical introduction to these topics with some theory and extensive hands-on training.

Topics

  • Open Science
  • Introduction to Unix Shell
  • Introduction to Git
  • Open and Collaborative Research
  • Research Data Management
  • Data Cleaning – using Open Refine
  • Data Analysis and Visualisation – using R
  • Data Intensive Social Science
  • Author Carpentry
  • Information Security
  • Machine Learning and Neural Networks
  • Research Computational Infrastructure

Costs

The school is heavily sponsored. Successful applicants will be expected to pay a fee of R1  150 once the application is accepted. This fee includes all training and catering (lunches). Applicants are responsible for their own travel and accommodation arrangements.

How to Apply:

Application deadline: 15 October 2019
Online application and further information:
https://www.dirisa.ac.za/CODATA-RDA%20ResearchDataSummerSchool-2020/

Females, Social Scientists and participants from developing countries are encouraged to apply

International Directors

  • H Shanahan (Royal Holloway University, UK)
  • L Bezuidenhout (University of Oxford, UK)

Local Organisers

  • A Vahed (DIRISA) | B Peterson, (NWU)
  • J Steyn (SADiLAR, NWU)
  • J van Wyk (NeDICC) M Holmner (UP)
  • M van Deventer (UP)


Disaster Risk Reduction and Open Data Newsletter: September 2019 Edition

 
 

Walloped by heatwave, Greenland sees massive ice melt
The heatwave that smashed high-temperature records in five European countries is now over Greenland, accelerating the melting of the island's ice sheet and causing massive ice loss in the Arctic.

How investing in early warning systems proves beneficial
A team including Dr Bapon SHM Fakhruddin, Technical Director at Tonkin + Taylor International, found that for every (USD) $1.00 invested in EWS, there is a return of $6.00 in benefits.

Improving communication and integration of geospatial information
From the Ninth Session of the UN Committee of Experts on Global Geospatial Information Management (UN-GGIM), SDSN TReNDS' Maryam Rabiee reflects on how geospatial data and technologies can better support the Sustainable Development Goals.

WHO joins coalition for free digital access to research health
“By joining this coalition, we believe we can accelerate progress towards universal free access to health research", says WHO Chief Scientist Dr Soumya Swaminathan.


DEADLINE EXTENDED TO 13 SEPTEMBER - WORKSHOP RECEPTION ANNOUNCED - CODATA-Helsinki 2019 Workshop on FAIR RDM in Institutions

In response to a number of requests in consideration of the little time after many peoples summer breaks, the Programme Committee of the CODATA-Helsinki Workshop on FAIR RDM in Institutions has agreed to extend the deadline for proposals for presentations and posters to Friday 13 September: https://conference.codata.org/Helsinki-CODATA-2019/submit/

Please note that the short time before the workshop means that there can be no further extension.

Proposals will be reviewed by the Programme Committee and authors will be informed as soon as possible after 24 September.

The Programme Committee is also delighted to announce that the Workshop Reception will take place in the 'Empire Room' of the Old Town Hall (Vanha Raatihuone in Finnish - also known as Bock's House), Aleksanterinkatu 20 at 18:00-19:00 on Monday 21 October (see below). 

Register Now for CODATA-Helsinki 2019 Workshop on FAIR RDM in Institutions: https://www.eventbrite.com/e/codata-helsinki-2019-workshop-on-fair-rdm-in-institutions-registration-66997233529
 

CODATA-Helsinki Workshop on FAIR RDM in Institutions

The CODATA-Helsinki Workshop on FAIR RDM in Institutions will take place at the National Archives of Finland on 20-21 October 2019. It is a collocated event before the 14th RDA Plenary Meeting, Helsinki, Finland.

The organisers and programme committee invites presentations and posters for this workshop. The deadline for proposals is Friday 6 September. Given the relatively short time before the event, there will not be an extension. We aim to notify accepted speakers shortly after Tuesday 24 September.
 

Research Data and Research Institutions

Research data are an asset for research institutions. Their creation, management and stewardship imposes considerable responsibilities and requires partnership and alignment with other institutions and research initiatives globally. All over the world universities and libraries have started the task of developing research data services, many aspiring to cover the entire research lifecycle: support in writing proposals and data management plans, repository infrastructures for the storage of data, support in publishing data, assignment of persistent identifiers, lecturing in data management, etc. This broad scope means that such services are often seen as requiring a joint effort from university, library, IT centre, faculties and other stakeholders.

FAIR Research Data Management involves robust planning, policies, infrastructure, training and support. Institutes that produce and consume data are required to ensure seamless accessibility to data and ensure practices that foster its reuse. Often institutes are less aware of existing good practices and progress in implementing Institutional Research Data Management. Improved awareness and knowledge sharing can help reduce duplication in initiatives, and avoid redundant and inefficient practices at various points in the data lifecycle. There is a widely recognised need to assist knowledge sharing between institutions and to do this in an increasingly structured way, by using (and where necessary refining) maturity models such as the DCC RISE. Equally, effective knowledge sharing can help reduce the gap between rich and poor institutions and between universities or research organisations in economically advantaged and disadvantaged contexts. Effective RDM practices can also make the process for sharing and reusing data more streamlined and efficient, thereby enabling research to be more efficient and driving greater impacts to be achieved out of research.
It is timely for actors in the various dimensions of such initiatives internationally to share their practical experiences, research and insights.

Themes and Guidelines for Proposals

Please consult the call for presentations and posters for themes and guidelines for submissions: https://conference.codata.org/conference/Helsinki-CODATA-2019/call_for_presentations/

Workshop Programme

The event will start at 12:30 (TBC) on Sunday 20 October and will conclude at 18:00 (TBC) on Monday 21 October. the programme will feature at least two keynotes, parallel sessions of presentations on the workshop themes, and discursive workshop activities around the issues of benchmarking and maturity models for FAIR RDM in Institutions. Refreshments on both days and lunch on Monday 21 October will be provided.

Workshop Reception, 18:00-19:00, Mon 21 October

The organisers are pleased to announce that thanks to the generosity of the City of Helsinki, there will be a closing reception for the Workshop at 18:00-19:00 on Monday 21 October, which will take place in the 'Empire Room' of the Old Town Hall (Vanha Raatihuone in Finnish - also known as Bock's House), Aleksanterinkatu 20.

Registration Fees

In order to contribute towards our costs (conference management system, refreshment breaks and lunch on Mon 21 October), but also to deter spurious and speculative registrations, which on previous events have greatly added to our workload, the programme committee has agreed to charge a registration fee of 40 euros.

Programme Committee

  • Jan Brase, University of Göttingen
  • Mercè Crosas, Harvard University
  • Claudia Engelhardt, University of Göttingen
  • Jane Greenberg, Drexel University
  • Simon Hodson, CODATA
  • Heidi Laine, CSC
  • Liu Chuang, Institute of Geography, Chinese Academy of Science
  • Devika Madalli, Indian Statistical Institute
  • Pekka Orponen, Aalto University
  • Limor Peer, Yale University
  • Robin Rice, University of Edinburgh
  • Annette Strauch, University of Hildesheim
  • Minglu Wang, York University
  • James Wilson, UCL
  • Keith Russell, ARDC
  • Michael Witt, Purdue University
    Brian Westra, University of IOWA 


Join for a parallel session on Linked open data for global disaster risk reduction during CODATA 2019: Towards next-generation data driven science: policies, practices and platforms

Please join us for a panel discussion, where we will share our knowledge and best practices on:

  • The application of big data for rapid damage mapping (RDM)
  • Opportunities to strengthen the RDM capacity of emergency response organisations

We will also launch a white paper on Next GeneratioDisasteDatInfrastructure.

Date: Friday 20 September 2019
Venue: The Friendship Hotel of Beijing
Time9.30 am - 11.00 am
Register: http://codata2019.csp.escience.cn/dct/page/70017


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