News

REGISTRATION CLOSES TODAY AND DRAFT PROGRAMME NOW AVAILABLE! CODATA-Helsinki Workshop on FAIR RDM in Institutions, 20-21 October.

Date: Oct 3, 2019

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
 
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.

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.

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. The programme is live now  at https://conference.codata.org/Helsinki-CODATA-2019/programme/

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
  • Jan Lucas van der Ploeg, University Medical Center Groningen
  • 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 


DEADLINE EXTENDED TO 31 OCTOBER - Call for Applications - The CODATA-RDA Research Data Science School, Pretoria 13- 24 January 2020

Date: Oct 2, 2019

In response to a number of requests, we have agreed to extend the deadline for applications for The CODATA-RDA Research Data Science School, Pretoria 13-  24 January 2020 to 31 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: 31 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: October 2019 Edition

Date: Oct 1, 2019

 

"If you ask us for ideas, act on them” - Youth call out UN, world leaders on climate action
The Youth Climate Action Summit brought youth climate champions together from more than 140 countries and territories to a platform to share their solutions on the global stage, and deliver a clear message to world leaders: we need to act now to address climate change. 

Global Partnership for Sustainable Development Data - Data for Now Initiative
The Data For Now initiative seeks to increase the sustainable use of robust methods and tools that improve the timeliness, coverage, and quality of SDG data through collaboration and partnership, technical and capacity support, and information sharing.

We could be losing the race against climate change, new UN report says
Scientists behind a landmark study of the links between oceans, glaciers, ice caps and the climate delivered a stark warning to the world on Wednesday: slash emissions or watch cities vanish under rising seas, rivers run dry and marine life collapse.

UNEP FI: Leading Financial Firms Commit to Improved Transparency on the Risks of Climate Change
The Global Commission on Adaption estimates over $7 trillion of climate change-related damages over the next ten years. To respond to these challenges, five leading banks and investors are committing to disclose risks and opportunities for their portfolios from the impacts of climate change by 2021.

UK Government: UK Aid to protect one billion people form impact of extreme weather
A new £175 million package will help make people safer and better prepared for disasters such as typhoons and hurricanes, as well as dealing with the aftermath.

Artificial Intelligence May Help Predict El Niño
Professor Yoo-Geun Ham and collaborators created a model using deep learning that forecasts El Niño and La Niña events 18 months in advance, beating current models that forecast only 1 year ahead.

Read the full Disaster Risk Reduction and Open Data Newsletter


DEADLINE APPROACHNG, 1 OCTOBER: Applications for CODATA-RDA School of Research Data Science, San José, Costa Rica, 2-13 December 2019

Date: Sep 27, 2019

This school provides early career researchers (at MSc-level to 3 years after their PhD) from the Latin American Region with the necessary set of foundational data science skills to enable them to analyse their data in an efficient and effective manner for the 21st century.

Description:

The material covered here is fundamental to all areas of data science and hence open to researchers and professionals from all disciplines that deal with significant amounts of data. The goal is to provide a practical introduction to these topics with extensive labs and seminars.

Topics:

  • Open Science
  • Introduction to Unix Shell
  • Programming for Analysis
  • Git
  • Research Data Management
  • Author Carpentry
  • Data Visualization
  • Information Security
  • Machine Learning
  • Computational Infrastructures

How to apply:

Online application: https://www.ictp-saifr.org/sis/datasci2019.php

Deadline: 1st October 2019

Female students and scientists are encouraged to apply

Grants:

The school has no cost, and a limited number of grants are available to support the attendance of selected participants from developing countries.

Directors:
M. ALFARO CÓRDOBA, Universidad de Costa Rica, Costa Rica
R. COBE, UNESP, Brazil
R. QUICK, Indiana University, USA
H. SHANAHAN, Royal Holloway University, UK
L. BEZUIDENHOUT, University of Oxford, UK

Local Organizers:
C. GAMBOA, CNCA CeNAT
E. MENESES, CNCA CeNAT


DEADLINE EXTENDED TO 28 OCTOBER - Call for Applications to Host International Data Week 2021 or 2023

Date: Sep 24, 2019

In response to a number of requests, the founding organisations have agreed to extend the deadline for applications to host International Data Week 2021 and/or 2023 to 28 October.

This landmark event is organised by the Committee on Data (CODATA) and the World Data System (WDS) of the International Science Council (ISC), and the Research Data Alliance (RDA). It brings together data scientists, researchers, industry leaders, entrepreneurs, policymakers and data stewards from disciplines across the globe to explore how best to exploit the data revolution to improve science and society through data-driven discovery and innovation. IDW combines the RDA Plenary Meeting, the biannual meeting of this international member organisation working to develop and support global infrastructure facilitating data sharing and reuse, and SciDataCon, the scientific conference addressing the frontiers of data in research organised by CODATA and WDS. Two editions have taken place to date:

1. IDW 2016, 11–17 September 2016, Denver, Colorado, USA; attended by 840 data professionals and researchers from all disciplines and from across the globe.

2. IDW 2018, 5–8 November 2018, Gaborone, Botswana; attended by more than 850 international data professionals and researchers.

The founding organisations wish for International Data Week to become a biennial meeting place for the global data community. We are therefore inviting proposals to host the third and fourth editions of this exciting event in September/October/November 2021 and 2023 respectively.

The primary objective of the conference is to bring together a large and representative part of the global data community. IDW 2016 and 2018 were huge successes and we want to continue that trajectory and increase impact. These are important times in the world of data and we seek local partners and a venue that will help us communicate that buzz.

International Data Week is a global and inclusive event. The organisers are keen to engage with cities and countries where we have not held an IDW or related meeting before. The organisers encourage proposals from the global South; proposals from the global North should show how they will work with the organisers to maximise participation from LMICs. Wherever the proposal comes from it will be important to demonstrate how the partnership will advance to missions of the founding organisations, ensure the impact of IDW and enhance membership and engagement with the three organisations.

Applications should demonstrate that local hosts have access to a suitable venue; strong support from local organisations and government; good connections to universities, industry, and research organisations in the country and region; and solid financial support.

We envision IDW 2021 and 2023 as four-day events that integrate the activities of a SciDataCon international conference and an RDA Plenary Meeting. Each IDW is expected to include both research sessions and focused working meetings, as well as broad plenary sessions of general interest. The days before and after each event will be set aside for the business and governance meetings of CODATA, RDA, and WDS, and potentially other co-located meetings.

Application Deadline

Applications should be sent by email to all of the IDW founding organisation representatives listed below no later than 28 October 2019 in electronic format based on the details and template available in the IDW Guidelines document (annexed herein).

Applications should be addressed to:

  • Simon Hodson, CODATA Executive Director at simon[at]codata.org
  • Hilary Hanahoe, RDA Secretary General, at hilary.hanahoe[at]rda-foudation.org
  • Rorie Edmunds, WDS Acting Executive Director, at rorie.edmunds[at]icsu-wds.org

International Data Week (IDW) Meeting Guidelines PDF Word


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

Date: Sep 11, 2019

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!


Disaster Risk Reduction and Open Data Newsletter: September 2019 Edition

Date: Sep 8, 2019

 
 

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

Date: Aug 30, 2019

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

Date: Aug 28, 2019

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


Workshop: Implementing FAIR Data for People and Machines: Impacts and Implications

Date: Aug 21, 2019

Event Dates: September 11, 2019 09:00am – September 11, 2019 05:00pm

Registration closes on September 11, 2019 08:00am

To register: Register online by credit card

Registration Costs

  • Member (CENDI, NAS, RDA-US, and/or NISO-NFAIS) - $50.00
  • Non-Member - $75.00
  • Student - $30.00

Location

National Academies of Sciences, Engineering, and Medicine
Room 100, Keck Center of the National Academy of Sciences, 500 Fifth Street, NW, Washington DC, 20001

This special one day workshop for data and information professionals, information technologists, and for disciplinary scientists interested in effective data sharing is focused on the wave of activities related to making data “FAIR” (Findable, Accessible, Interoperable, and Reusable).

We will focus on the implementations and ultimate impacts and implications, especially as data is made FAIR for people and machines.

The Workshop will provide a venue for attendees to collaborate with their peers and hear from leading experts.

Please note that seating is limited.

Scope and Description

This collaboratively-organized workshop is for data and information professionals, information technologists, and for disciplinary scientists interested in effective data sharing. Sessions provide an overview of activities related to making data “FAIR” (Findable, Accessible, Interoperable, and Reusable).

The one-day event focuses on the implementations, ultimate impacts, and implications, especially as data is made FAIR for people and machines. A complete agenda for the day may be viewed here

The Workshop provides an opportunity for attendees to collaborate with their peers and hear from leading experts. The roster of confirmed speakers includes:

  • Marcia McNutt, President, National Academy of Sciences (NAS)
  • George Strawn, Director, Board on Research Dara and Information (BRDI), The National Academy of Science, Engineering, and Medicine
  • Barend Mons, President, CODATA (a commission of the International Science Council), and Professor of Bioinformatics, Leiden University, The Netherlands
  • Joanna Martin, Office of Scientific and Technical Information, DOE
  • Michael Huerta, Associate Director of the National Library of Medicine
  • Robert J. Hanisch, Director of the Office of Data and Informatics, Material Measurement Library, NIST
  • Beth Plale, Science Advisor for Public Access, NSF
  • Laura Biven, Program Manager, Advanced Scientific Computing Research, Office of Science, DOE
  • Giridhar Manepalli, Director of Information Management Technology, Corporation for National Research Initiatives (CNRI)
  • Giri Palamisany, Director, Atmospheric Radiation Monitoring (ARM) Research Facility, ORNL
  • Rebecca Koskela, Executive Director, DataONE
  • Melissa CraginChief Strategist for Data Initiatives, San Diego Supercomputer Center, UCSD
  • Maryann Martone, Professor Emeritus (Neuroscience), University of California, San Diego
  • Cynthia Hudson Vitale, Head of Research Informatics and Publishing, Pennsylvania State University Libraries 
  • Dr. Luiz Olavo Bonino, International Technology Coordinator, GO FAIR International Support and Coordination Office
  • Jason Griffey, Director of Strategic Initiatives, NISO
  • Matt Jones, Director DataONE, UCSB
  • Daniella Lowenberg, UC3 Product Manager, University of California Digital Library
  • Bonnie C. Carroll, Chief Data Officer, Information International Associates Inc., and Secretary General, CODATA
  • Stu Feldman, Chief Scientist, Schmidt Futures
  • Keith Russell, Engagements Manager, Australian Research Data Commons


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