News & Articles

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

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

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

 

"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

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

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


Read more CODATA news
http://www.codata.org/
www.codata.org
crawl=CC-MAIN-2019-43
76360
application/http; msgtype=response
sha1:ZE2Q452ZMBKV4T7KJV42UH6G2BD2KANE
<urn:uuid:6ca2fee1-9f53-40b7-be54-b84f5b0f7129>
2019-10-20T02:56:06Z
162.255.162.174
text/html
sha1:KY5222VKXFMWLMLQTNWQRVTIRINKQHGX
<urn:uuid:7969820c-255e-471a-a802-7da69e3f80c9>
http://www.codata.org/
response
<urn:uuid:36604231-8557-49c6-9d42-26c70a0c0125>
isPartOf: CC-MAIN-2019-43
publisher: Common Crawl
description: Wide crawl of the web for October 2019
operator: Common Crawl Admin (info@commoncrawl.org)
hostname: ip-10-67-67-179.ec2.internal
software: Apache Nutch 1.16 (modified, https://github.com/commoncrawl/nutch/)
robots: checked via crawler-commons 1.1-SNAPSHOT (https://github.com/crawler-commons/crawler-commons)
format: WARC File Format 1.1
conformsTo: http://iipc.github.io/warc-specifications/specifications/warc-format/warc-1.1/