News

DEADLINE APPROACHING: EUDAT Summer School, 3 to 7 July 2017 - Deadline for applications, Sunday April 23rd 2017 @ 23:59 CEST

Date: Apr 15, 2017

The EUDAT Research Data Management Summer School, taking place from 3 to 7 July 2017 and kindly hosted by the Information Systems Laboratory (ISL) and Institute of Computer Science (ICS) of the Foundation for Research and Technology - Hellas (FORTH), will be a unique occasion for early-career data scientists and data managers interested in furthering their careers in data management, data science and digital preservation.

The draft programme is now available and covers the topics of:

  •     The Research Data Lifecycle
  •     The FAIR Data Concept
  •     Writing a Data Management Plan
  •     The EUDAT Service Suite Overview
  •     High Performance Computing (HPC) Programming Models
  •     Using the EGI Federated Cloud for Data Analysis
  •     Linking HPC to Data Management
  •     Open Data and Cross-disciplinary Research
  •     Long Term Data Curation
 
With over 30 different sessions, more than 15 international data experts will take attendees on a 5-day journey in stunning Crete discovering the world of data with exclusive in-depth insights too. By the end of the summer school you will be confident in the fundamentals of data management and data analytics, have a greater knowledge on how EUDAT services could support your work and expand your international network of colleagues and peers in the field.
Deadline for Applications is Sunday April 23rd 2017 @ 23:59 CEST. - 
 
Details, eligibility and application form available at https://eudat.eu/eudat-rdm-summer-school-application-evaluation-criteria


COMING SOON! The CODATA 2017 Conference, 'Global Challenges and Data Driven Science’ will take place in Saint-Petersburg, 8-12 October 2017

Date: Apr 14, 2017

Information about the conference is available at http://codata2017.gcras.ru/ ; the Call for Sessions and Papers will be issued soon and it will be possible to submit proposals and abstracts at http://conference.codata.org/2017/ from 24 April.

 
The purpose of the conference is to explore the fundamental issues relating to the availability, (re-)use and scientific analysis of data that relate to the most significant contemporary global challenges.  

Global science is increasingly data-driven.  Major international scientific programmes contribute to a collective endeavour to understand contemporary global processes and phenomena that are of deep relevance to contemporary societies.  The unprecedented volume of data generated by the digital revolution of recent decades has led to the emergence of distinctive and powerful means of characterising and understanding the complex systems that are at the heart of many global challenges.  These developments raise major questions around data collection, stewardship and analysis; and there are timely lessons to be shared between the academic and commercial sectors.
 
The conference will be of interest to researchers in many domains, and particularly those relating to the global research programmes sponsored by the International Council of Science (Future Earth, Integrated Research on Disaster Risk, Urban Health and Wellbeing), as well as research around the Sustainable Development Goals, ecological and environmental challenges and assessments and the Sendai Framework on disaster risk reduction.  The conference will foster constructive and continued dialogue between transdisciplinary research activities and data experts.
 
The conference themes are as follows:
  1. Concrete achievements in data-drive science across all research areas
  2. Data collection, analysis and integration for Earth observations and the study of the Earth’s system
  3. Data collection and analysis for disaster risk research
  4. Data-driven cities and sustainable urban development
  5. Shared data challenges: Big Data management and analysis in the scientific and commercial sectors
  6. Fundamental and practical issues of data analysis, event recognition and application
  7. Coordination and development of national and international data services
  8. Development of research data services in universities and other research organisations
  9. Coordination of data standards and interoperability
  10. Issues around ‘intelligently open’ and FAIR data
  11. Metrology, precision data, fundamental physical constants, reference data and monitoring data in all domains
We look forward to seeing you in Saint-Petersburg in October.
 
Conference Website: http://codata2017.gcras.ru/
 
Submit Session Proposals and Paper Abstracts (Open from 24 April): http://conference.codata.org/2017/


Open Review of the IRIDIUM International Research Data Management Glossary WG Outputs

Date: Apr 13, 2017

CODATA is collaborating on an international glossary of research data management terms and definitions: http://www.codata.org/working-groups/standard-glossary-for-research-data-management-iridium

Dubbed the IRIDIUM (International Research Data Management) Glossary, this is an evolving partnership initiative growing out of a pilot project last year.  You can review the current glossary at http://dictionary.casrai.org/Category:Research_Data_Domain  (it is currently branded as a ‘dictionary’ but will be rebranded, post-pilot, as a ‘glossary’).
 
The Working Group’s outputs (new and revised terms) will shortly be made available for a month-long period of Open Review with the international research community.  
 
We invite participation from any and all experts, from any country, with an interest in this glossary to participate in the Open Review.  

Further information is contained in the message below and at https://forum.casrai.org/t/call-for-participation-in-2017-standards-open-review/378
 

This is an international call for participants in the upcoming Open Review of the 2017 outputs of the CASRAI standards active Working Groups (WGs).

These four CASRAI WGs are now in the final stages of preparing their outputs for a month-long period of Open Review in the international research community.

Track 1IRIDIUM (Research Data Management) Standard Glossary Review
Track 2Open Access Standard Glossary Review
Track 3Academic Research Career Levels Standard Taxonomy Review
Track 4Impacts Data Collection Standard Template Review

Participants are welcome from all research-producing nations.

CALL (OPEN REVIEW) INSTRUCTIONS:

Please see the instructions at https://forum.casrai.org/t/call-for-participation-in-2017-standards-open-review/378 

Please sign up for the Open Review of the IRIDIUM International Research Data Management Glossary outputs at https://forum.casrai.org/t/may-2017-iridium-research-data-management-standard-glossary-review/380 


eResearch Africa 2017 Conference: Data Driving Discovery, University of Cape Town, 2-5 May 2017

Date: Apr 13, 2017

Programme: http://www.eresearch.ac.za/eresearch-africa-2017-programme

Register: http://www.eresearch.ac.za/registration-eresearch-africa-2017

The eResearch Africa conference is aimed at providing researchers with the platform to showcase how they are using IT resources to conduct they work and what methods they have in place to process their data.

This is the third in a series of bi-annual events to showcase case studies of the successful use of technological platforms and methods that enhance researchers’ ability to generate, collect, share, process, analyse, store and retrieve information.  To this end, research support practitioners, academic researchers and educators from diverse disciplines are invited to participate in the 2017 event entitled data driving discovery.
 


Apply for CODATA International Training Workshop in Open Data for Better Science - Deadline 25 April 2017

Date: Apr 3, 2017

In collaboration with CODATA China, CODATA is running an International Training Workshop Open Data for Better Science.  The workshop will take place in at the Computer Network Information Center, Chinese Academy of Sciences, Beijing from 10-21 July 2017.  The workshop is targeted at early career researchers as well as from research leaders and managers of research institutes from countries with developing or emerging economies.  Participation for successful applicants will be financially supported, thanks to a grant from the Chinese Academy of Sciences (CAS).  The deadline for applications is 25 April.

The training program offered aims to engage participants with a number of facets of data science and data management in the Big Data age.  Topics include, but are not limited to, interdisciplinary applications of open research data, data intensive research, data management policies, cloud computing, visualization, analytics and data infrastructure development in the Big Data Age.  Through a mix of theoretical study, workshop and practical sessions as well as field visits, the organizers aim to help participants develop a deeper expertise in the latest Big Data technologies for scientific discovery. 

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).  In 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.

Application Procedure and Deadline

Applications should be completed on the designated form, providing all the requested information and an academic CV.  Completed applications should be submitted to both the addresses below by the deadline of 23.59 UTC on 25 April 2017:

Dr. Simon Hodson, Executive Director, CODATA: simon [at] codata.org
Ms. LI Chang, CODATA-China Secretariat: lichang [at] cnic.cn
 
Applicants are encouraged to apply for this workshop OR the CODATA-RDA Research Data Science Summer School and Applied Workshops, not to both.

Further Information


Apply to participate in the CODATA-RDA Research Data Science Summer School and the CODATA-RDA Research Data Science Applied Workshops - Deadline 25 April 2017

Date: Mar 31, 2017

Following the enormous success of the 2016 edition of the CODATA-RDA Research Data Science Summer School the Abdus Salam International Centre for Theoretical Physics (ICTP), in collaboration with CODATA, RDA and TWAS, will host two related events in July this year.
 
The CODATA-RDA Research Data Science Summer School will take place from 10-21 July 2017.  Apply here! <http://indico.ictp.it/event/7974/>  Deadline 25/04/2017
 
The CODATA-RDA Research Data Science Applied Workshops on Extreme Sources of Data, Bioinformatics and IoT/Big-Data Analytics will take place from 24-28 July 2017.  Apply here! <http://indico.ictp.it/event/8170/> Deadline 25/04/2017
 
Interested parties may apply for either or for both events.
 
Some support for travel and accommodation is available and its allocation will be determined during the selection process and 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 applications will be treated on merit.
 
The events are open to participants at any stage in their career, though financial support will prioritise post graduate and early career researchers.
 
The CODATA-RDA Research Data Science Summer School is open to participants in any research discipline.
 
About the CODATA-RDA Research Data Science Summer School, 10-21 July 2017
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. This includes 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, visualisation and modelling techniques, software development and annotation and more. We define ‘Research Data Science’ as the ensemble of these skills.

 

 
Partners in the school include Software Carpentry and Data Carpentry and the Digital Curation Centre.

 
This course will largely repeat the format and content of last year’s very successful school.  For further information about the content and last year’s event please see http://indico.ictp.it/event/7658/ ; 2016 programme http://indico.ictp.it/event/7658/other-view?view=ictptimetable ; 2016 participants and photos http://www.codata.org/working-groups/research-data-science-summer-schools/first-codata-rda-school-of-research-data-science-ictp-trieste
 
Apply here, deadline 25 April http://indico.ictp.it/event/7974/overview
 
About the CODATA-RDA Research Data Science Applied Workshops on Extreme Sources of Data, Bioinformatics and IoT/Big-Data Analytics, 24-28 July 2017
    • Workshop on Extreme sources of data: Introduction to ATLAS Open Data Platforms/Tools , tutorials and CERN LHC.
    • Workshop on Bioinformatics: computational methods for the management and analysis of genomic and sequencing data.
    • Workshop on IoT/Big Data Analytics: Big Data tools and technology; real time event processing; low latency query; analizing social media and customer sentiment.
 
 
Apply here, deadline 25 April http://indico.ictp.it/event/8170/overview


European Commission Expert Group on FAIR Data - OECD GSF CODATA Project on Business Models for Sustainable Research Data

Date: Mar 30, 2017

This week, our Executive Director, Simon Hodson has been involved in a number of important meetings and workshops, hosted by the European Commission in Brussels.

1) On Mon 27 March, He chaired the Horizon 2020 Expert Group on FAIR Research Data, which
is tasked with preparing recommendations and indicators for implementing FAIR research data. The report and recommendations will address cultural and technical issues in order to provide concrete guidance for making FAIR research data a reality.

2) Tue 28 - Weds 29 March saw the second workshop of the OECD GSF and CODATA Project on Business Models for Sustainable Research Data Repositories, a project for which he is co-
chair. The objectives of the workshop were to:

- review and critique an economic analysis of various current and emerging business models and potential revenue sources for data repositories;
- obtain stakeholder input on the viability of these business models, by examining various dimensions, including the alignment of business models with stakeholder and beneficiaries' willingness to pay and budgetary authority; and
- review and contribute to policy recommendations to national science policy makers to promote the sustainability of data resources.

Participants considered a substantial draft report. After further iterations and review through OECD processes the report will be published by the end of 2017.

3) Finally, on Thu 30 - Fri 31 March, He is participating in the parallel OECD GSF and WDS Project Workshop on International Coordination of Data Infrastructures.

 


Roundtable on Data Science Post-Secondary Education Meeting #2: Examining the Intersection of Domain Expertise and Data Science

Date: Mar 13, 2017



March 20, 2017

Beckman Center, Huntington Room
100 Academy Way,
Irvine, CA 92617

The National Academies of Sciences, Engineering, and Medicine is holding a one-day meeting and webcast on data science post-secondary education on March 20, 2017. This meeting will bring together data scientists and educators to discuss how to define and strengthen existing data science programs and how to best engage and retain data science students.

This event is the second of an ongoing series of roundtable meetings that will take place approximately four times per year. This roundtable is organized by the Committee on Applied and Theoretical Statistics in conjunction with the Board on Mathematical Sciences and Their Applications, the Computer Science and Telecommunications Board, and the Board on Science Education.

Register for the webcast

Roundtable Members

Meeting Agenda

Meeting Agenda (PDF)

Event Webcast

During the event, we encourage webcast participants to send questions for the speakers to Ben Wender at bwender@nas.edu, who will read them out if time permits.

Click here to watch the event webcast

#DataScienceEducation @theNASEM


INSERM workshop 246 – Management and reuse of health data: methodological issues (Bordeaux, France, 15-17 Mai 2017)

Date: Mar 9, 2017

This workshop will provide an insight on the best practices and tools to adopt in order to improve the management of health data throughout its life cycle, thus enabling a responsible sharing and enhanced reusability of data.

Target audience: researchers, research engineers, PhD students, any other stakeholders involved in the production, management and handling of health data.

Deadline for registration extended to 17 March 

For more information and registration


New Zealand Government thanks IRDR and CODATA Groups and China GEOSS for their help following 2016 Kaikoura Earthquake

Date: Feb 23, 2017

New Zealand was hit by a 7.8 magnitude earthquake in Kaikoura in November 2016, and the government has expressed thanks to IRDRCODATA and China GEOSS for their timely and free provision of satellite data that helped with damage and loss estimation following the disaster.
NZ Government thanks IRDR and CODATA groups for their help following 2016 Kaikoura earthquake
 
Damage and loss estimation is often difficult in the hours and days after a natural disaster as data and information are not available.  During the Kaikoura earthquake, IRDR's Disaster Loss DATA project and the CODATA Task Group Linked Open Data for Global Disaster Risk Research (LODGD) worked together with environmental and engineering consulancy Tonkin +Taylor in New Zealand to provide TripleSat satellite images of the affected Hurunui District.

The New Zealand Minister of Civil Defence, Gerry Brownlee, wrote in February to Professor Li Guoqing of the CODATA Task Group, saying: “In the immediate aftermath of natural disasters, accurate information on the nature and extent of damage is critically important for the efficient use of scarce resources. The New Zealand Government is very appreciative of the assistance that you and your organization provided in our time of need.”

Tonkin + Taylor supported geo-spatial information for the Earthquake Commission (EQC) in New Zealand on the damage caused by the earthquake. This information was made available through a web-based viewer to all government agencies, response and recovery agencies, engineers and researchers to access the damage information, thereby informing first response and mitigation measures. The Kaikoura GIS Viewer was also accessed internationally by interested parties.

The satellite imagery, accessed through China GEOSS and AO GEOSS portal, was placed on the internet based Project Orbit portal. This information includes imagery taken from helicopters, aircraft and satellites and field database. The earthquake, which occurred  after midnight on 14 November 2016, caused major damage and disruption to the main transport network in the Upper South Island, and the information was used for recovery planning purposes. Furthermore, the Orbit data was used to identify more than 10,000 landslips after the earthquakes, and was vital to formulating engineering solutions for reconstruction efforts in Kaikoura.

This story is reproduced from the ICSU website http://www.icsu.org/news-centre/news/nz-government-thanks-irdr-and-codata-groups-for-their-help-following-2016-kaikoura-earthquake


<< <  Page 11 of 26  > >>