News

CODATA-RDA School of Research Data Science, Sao Paulo, Applications Open, Deadline 14 September

Date: Aug 13, 2018

Applications are now open for the CODATA-RDA School of Research Data Science, Sao Paulo, which will take place at ICTP-SAIFR (ICTP South American Institute for Fundamental Research on 3-14 December 2018
 
Applications may be made at http://ictp-saifr.org/sis/datasci2018step0.php - the deadline for applications is 14 September 
 

The ever-accelerating volume and variety of data being generated is having a huge impact on a wide variety of research disciplines, from the sciences to the humanities. The international, collective ability to create, share and analyse vast quantities of data is having a profound, transformative effect. This ‘Data Revolution’ offers great opportunities for students with modern data skills, both in conducting their research and in entering a jobs market where those skills are in demand.

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.

The International School on Data Science will focus on growing competence in accessing, analyzing, visualising, and publishing data. It is open to participants from all disciplines and/or background from the sciences to humanities. This activity will cover topics on principles and practice of Open Science, research data management and curation, use of a range of research compute infrastructures, large scale analysis, statistics, visualisation and modeling techniques, automation and scripting.

There is no registration fee. Limited funds are available to support accommodation, subsistence and travel support. For financial reasons, it is likely that priority will be given to travel support for students from the Latin American and Caribbean region, except in the case of particularly exceptional students.

Applicants from any region are strongly encouraged to look for alternative sources of funding to support their participation. For the recent CODATA-RDA School of Research Data Science in Trieste a large number of students were able to support their participation with funding from a variety of sources including their institutions, various grants, charities and sponsoring organisations etc

The training provided by the CODATA-RDA School of Research Data Science is primarily targeted at Early Career Researchers (advanced masters students, doctoral candidates, post-docs and young or early career academics). 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.

Applicants are expected to have a baseline of data skills and these are tested by an online form. In addition, 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, how will it 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 School directors have confidence in the candidate and that the skills learnt will have the maximum benefit and impact.

Directors:

  • Marcela Alfaro Córdoba (University of Costa Rica)
  • Simon Hodson (CODATA, Committee on Data of the International Council for Science, France)
  • Sarah Jones (Digital Curation Centre, University of Glasgow, UK)
  • Robert E Quick (Indiana University, USA)
  • Hugh Shanahan (Royal Holloway, University of London, UK)

Local Organizers:

  • Nathan Berkovits (ICTP-SAIFR/IFT-UNESP, Brazil)
  • Raphael Cobe (NCC, Brazil)
  • Ivan Girotto (ICTP-Trieste, Italy)
  • Rogério Iope (NCC, Brazil)
  • Beraldo Leal (NCC, Brazil)
  • Sérgio Novaes (NCC and SPRACE, Brazil)
 


Public Review of DDI 3.3

Date: Aug 7, 2018

The DDI Alliance (http://www.ddialliance.org/) is pleased to announce the Public Review of DDI 3.3. This version of the DDI specification includes important updates and new content, including:
 
  • Classification management (based on GSIM/Neuchatel)
  • Non-survey data collection (Measurements)
  • Sampling
  • Weighting
  • Questionnaire Design
  • Support for DDI as a Property Graph
  • Quality Statement improvements (useful for Eurostat reporting)
Additionally, DDI 3.3 has a formal model now, so a detailed changelog can be generated between DDI 3.2 and 3.3.
 
Links to the specification and instructions for comment are found at:
 
 
We are eager to obtain feedback from the DDI and RDF communities on this vocabulary. The comment period is open until September 21, 2018, and we hope to hear from you!


EDDI18 - 10th Annual European DDI User Conference: Call for Papers

Date: Aug 7, 2018

 

CALL FOR PAPERS

10th Annual European DDI User Conference (EDDI18), DDI - The Basis of Managing the Data Life Cycle
 
Submission Deadline: September 2, 2018
Place: Berlin, Germany
Date: December 4/5, 2018
Host:  The German Socio-Economic Panel (SOEP) at DIW Berlin Germany
Conference web page: http://www.eddi-conferences.eu/eddi18
EDDI18 is organized jointly by SOEP - The German Socio-Economic Panel, GESIS - Leibniz Institute for the Social Sciences and IDSC of IZA - International Data Service Center of the Institute for the Study of Labor.
 
The Data Documentation Initiative (DDI) is an international standard for describing the data produced by surveys and other observational methods in the social, behavioral, economic, and health sciences.
 
The meeting will bring together DDI users and professionals from all over Europe and the world. Anyone interested in developing, applying, or using DDI is invited to attend and present.
 
Call for Papers
We are seeking presentations, talks, papers, posters on all things DDI:
  • Case Studies
  • Mature implementations
  • Early Implementations
  • Interplay of DDI with other standards or technologies
  • Projects in early phases in which DDI is under consideration
  • Critiques of DDI
 
The topics of the conference include, but are not limited to:
  • User Needs, Efficient Infrastructures and Improved Quality
  • Official Statistics
  • Reusing and Sharing Metadata
  • Data Harmonization
  • Incentives to Document Data
  • Open Data and Linked Open Data
  • Privacy and Access Control
  • Metadata versus Data and Related Ethics
  • Software / Tools
 
Submission
Proposals are welcome for multiple content types and presentation forms.
 
Content Types
  • Scientific Method
  • Impact for the Community
  • Project Report
 
Presentation Forms
  • Full Paper
  • Communications
  • Regular Presentation
  • Short Presentation
  • Poster/Software Demonstration
  • Complete Session
 
Other Submission Types
  • Tutorial or Workshop
  • Side Meeting
 
If you are interested in submitting a proposal, please have a look at the overview on submissions and use the online submission system of the conference. 
  • The deadline for submissions is September 2, 2018.
  • Please have a look at the Call for Paper page for further details.
  • Please consider to indicate the availability as reviewer as well.
 
General Information
For more information about the EDDI conference series and details on the previous EDDI conferences, look at http://www.eddi-conferences.eu/.
 
Jon Johnson and Joachim Wackerow (co-chairs) on behalf of the EDDI18 Program Committee


Keynote Speakers at International Data Week

Date: Aug 3, 2018

The organisers and programme committee are very pleased to announce that the line up of keynote speakers at International Data Week will include

Joy Phumaphi
African Leaders Malaria Alliance

Joy Phumaphi, African Leaders Malaria AllianceJoy Phumaphi is the Executive Secretary of the African Leaders Malaria Alliance. She served as a member of the UNSG’s High-Level Panel on the Global Response to Health Crises and the Chair of the Global Leaders Council for Reproductive Health, as well as serving as co-Chair of the Independent Expert Review Group for Every Woman Every Child, reporting annually to the UNSG on developing country-level progress on Women’s and Children’s health. She served as Member of Parliament in Botswana, holding portfolio responsibility in the cabinet, first for Lands and Housing (1995-1999), and then for Health (1999-2003). She later joined the WHO as Assistant Director General for Family and Community Health (2003-2007). She has served as Vice President for Human Development at the World Bank (2007-2009). Joy has served on a number of commissions and expert groups and sits on the Board of several international non-profit organizations working on global health.

Ian Foster
Argonne National Laboratory

Ian Foster, Argonne National LaboratoryIan Foster is Distinguished Fellow and director of the Data Science and Learning Division at Argonne National Laboratory. He is also the Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago. Ian received a BSc (Hons I) degree from the University of Canterbury, New Zealand, and a PhD from Imperial College, United Kingdom, both in computer science. His research deals with distributed, parallel, and data-intensive computing technologies, and innovative applications of those technologies to scientific problems in such domains as materials science, climate change, and biomedicine. His Globus software is widely used in national and international cyberinfrastructures. Foster is a fellow of the American Association for the Advancement of Science, Association for Computing Machinery, and British Computer Society. His awards include the Global Information Infrastructure Next Generation award, the British Computer Society's Lovelace Medal, the IEEE’s Kanai award, and honorary doctorates from the University of Canterbury, New Zealand, and the Mexican Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV). He co-founded Univa, Inc., a company established to deliver grid and cloud computing solutions, and Praedictus Climate Solutions, which combines data science and high performance computing for quantitative agricultural forecasting.

Tshilidzi Marwala
University of Johannesburg

Tshilidzi Marwala is the Vice-Chancellor and Principal of the University of Johannesburg. Previously, he was the Deputy Vice-Chancellor for Research and Internationalization and the Executive Dean of the Faculty of Engineering and the Built Environment both at the University of Johannesburg.  He progressively held the positions of Associate Professor, Full Professor, the Carl and Emily Fuchs Chair of Systems and Control Engineering as well as the SARChI Chair of Systems Engineering at the Department of Electrical and Information Engineering at the University of the Witwatersrand. Before then, he was the Executive Assistant to the technical director at South African Breweries and a post-doctoral research associate at the Imperial College (then University of London). He holds a Bachelor of Science in Mechanical Engineering (magna cum laude) from Case Western Reserve University (USA) in 1995, a Master of Mechanical Engineering from the University of Pretoria in 1997 and a PhD specializing in Artificial Intelligence and Engineering from the University of Cambridge in 2000. Tshilidzi is a registered professional engineer, a Fellow of TWAS (The World Academy of Sciences), the Academy of Science of South Africa, the African Academy of Sciences and the South African Academy of Engineering. He is a Senior Member of the IEEE (Institute of Electrical and Electronics Engineering) and a distinguished member of the ACM (Association for Computing Machinery). His research interests are multi-disciplinary and include the theory and application of artificial intelligence to engineering, computer science, finance, social science and medicine. He has supervised 47 Master’s and 28 Doctoral students to completion. He has published 13 books in artificial intelligence, one of these has been translated into Chinese, over 300 papers in journals, proceedings, book chapters and magazines and holds four patents. He is an associate editor of the International Journal of Systems Science. His writings and opinions have appeared in the magazines New Scientist, The Economist and Time Magazine.

For previously announced keynotes see http://internationaldataweek.org/speakers-0


Grants for Early Careers and Experts - Join the 12th RDA Plenary, 5-8 Nov 2018, Botswana (part of IDW2018)

Date: Aug 3, 2018

RDA Europe continues its series of support programmes for data researchers and practitioners and is now running 2 Open Calls to facilitate participation of 7 RDA Early Career Researchers and 5 Expert RDA members to the 12th RDA Plenary meeting in Botswana.

The second edition of International Data Week  (IDW 2018) will be held on 5-8 November 2018 in Gaborone, Botswana bringing together data professionals and researchers from all disciplines and from all parts of the globe. Co-organized by the ICSU World Data System (WDS), the ICSU Committee on Data for Science and Technology (CODATA) and the Research Data Alliance (RDA), this landmark event will address the theme of ‘The Digital Frontiers of Global Science’ and will combine the 12th RDA Plenary Meeting, the biannual meeting of the research data community, and SciDataCon 2018, the scientific conference addressing the frontiers of data in research.

RDA Europe has opened two Calls for grant applications designed to facilitate the participation of Early Careers and Expert European RDA members to the upcoming Plenary meeting:

Early Careers Researchers and Scientists working with Data

RDA Europe is seeking applications from students and early career professionals from higher education or research institutions  with studies focusing on research data sharing and exchange challenges. The Early Career support programme will offer up to seven grants of maximum €1750.

To view all the call details and apply please visit https://grants.rd-alliance.org/OpenCalls/call-early-careers

RDA Data Experts 

The RDA Plenaries are working events built around the RDA Working Group (WG) and Interest Group (IG) meetings. If you are a mid-career or senior data professional or scientist, interested or already committed to RDA activities you can apply for one of five grants of maximum €1800 to support your participation to the Plenary meeting.

To find out more visit https://grants.rd-alliance.org/OpenCalls/call-experts

Application period closes for both Calls on the 30 August 2018, 17:00 CEST, and applicants will be notified of the outcome on the 21 September 2018.


RDA EU Early Career grants for 12th Plenary, 5-8 Nov 2018, Botswana (part of IDW2018)

Date: Jul 27, 2018

RDA Europe (https://rd-alliance.org/rda-europe) continues its series of support programmes for data researchers and practitioners and is now running an Open Call to facilitate participation of 7 RDA Early Career Researchers to the 12th RDA Plenary meeting in Botswana, held during the International Data Week 2018 (http://www.internationaldataweek.org/)
 
The second edition of International Data Week (IDW 2018) will be held on 5-8 November 2018 in Gaborone, Botswana bringing together data professionals and researchers from all disciplines and from all parts of the globe. Co-organized by CODATA, ICSU-WDS and RDA, this landmark event will address the theme of ‘The Digital Frontiers of Global Science’ and will combine the 12th RDA Plenary Meeting, the biannual meeting of the research data community, and SciDataCon 2018, the scientific conference addressing the frontiers of data in research.
 
RDA Europe is seeking applications from students and early career professionals from European higher education or research institutions  with studies focusing on research data sharing and exchange challenges. The Early Career support programme will offer up to seven grants of maximum €1750 to cover travel expenses. To view all the call details and apply please visit https://grants.rd-alliance.org/OpenCalls/call-early-careers
 
Application period closes on 30 August 2018, 17:00 CEST and applicants will be notified of the outcome on the 21 September 2018.


Rob Adam, Managing Director of SARAO; Simeon Materechera, Director of the Indigenous Knowledge Systems Center; Jörg Heimschrot, Director of Science and Technology/Capacity Development, SASSCAL to give a keynote at International Data Week 2018

Date: Jul 25, 2018

The organisers and programme committee are very pleased to announce the following keynotes

Rob AdamManaging Director of SARAO, the South African Radio Astronomy Observatory and the South African part of the Square Kilometre Array (SKA).

Rob Adam was appointed Director of the South African Square Kilometre Array Radio Telescope project in January 2016.

Until recently, Rob held the position of Group Executive: Nuclear at the Aveng Group. Prior to joining Aveng, Rob was Chief Executive Officer of the South African Nuclear Energy Corporation (Necsa), South Africa's foremost nuclear technology company. He held this position from 2006 to 2012. Before joining Necsa, Rob was Director-General of the Department of Science and Technology, from 1999 to 2006. Rob has also been a Professor of Physics at both the University of Pretoria and the University of South Africa and served on the Council of the Academy of Sciences of South Africa. He is currently a member of the Human Resource Development Council chaired by Deputy President David Mabuza and has chaired or served on numerous Boards and Councils over the course of his career.

Rob has held various academic positions in Europe and South Africa, has authored over 30 refereed articles in theoretical physics, published widely on science and technology policy and co-authored a book on science and technology in the Republic of Chile.

 

Prof Simeon Materechera, Director of the Indigenous Knowledge Systems Center at the Mafikeng campus of the North West University

Professor Materechera is the Director of the Indigenous Knowledge Systems Center at the Mafikeng campus of the North West University. He oversees the teaching and research activities of IKS at the University and is involved in supervision and mentoring of postgraduate students. His career has involved networking activities that led to setting up of collaborations with peers, organizations and institutions involved with research, teaching and learning, and, community engagement. Professor Materechera has published widely including book chapters, conference presentations, monographs, commissioned research reports and peer-reviewed journal articles. He serves on the editorial boards of a number of journals.

 

Jörg Helmschrot, Director of Science and Technology/Capacity Development, SASSCAL

Dr. Jörg Helmschrot holds a diploma degree in geography, geology and urban planning from the University of Jena in 1999. In 2006, he finished his PhD on the impact of afforestation on wetland and catchment hydrology in South African headwater catchments. Dr. Helmschrot also holds an extraordinary Professorship with the University of Stellenbosch, Faculty of AgriSciences and the Water Management Institute since 2016. After working as a SASSCAL researcher at University of Jena until 2012, Dr. Helmschrot joined the Scientific Coordination team of the SASSCAL at University of Hamburg in 2013. Since June 2016, Dr. Helmschrot took up the position of SASSCAL’s Director of Science and Technology and Capacity Development and is in charge for implementing and coordinating the further development of the SASSCAL research and capacity development agenda as well as the establishment of the Open Access Data Centre. He is also in charge for the successful implementation of collaborative research projects funded through e.g. AU GMES Africa, EU H2020, BMBF, World Bank and ARC.

Please see the already announced list of keynotes and panellists at http://internationaldataweek.org/speakers-0


Call for expressions of interest to establish International Centres of Excellence (UHWB ICE)

Date: Jul 16, 2018

Co-sponsored by the International Science Council (ISC), the United Nations University (UNU), and the InterAcademy Partnership (IAP), the Urban Health and Wellbeing (UHWB) programme was launched as a ten-year programme to address the major challenges to health and wellbeing in the urban environment. Starting in 2014 its International Programme Office at the Institute of Urban Environment, Chinese Academy of Sciences (IUE, CAS) took up its operation.

The UHWB programme addresses the emerging health challenges in urban environments which are under the influence of and accelerated by broader climate, epidemiological, demographic and ecological changes. The programme recognizes the increasing complexity and interconnectedness of cities as socio-ecological-technological systems and the associated risks to the health and wellbeing of people living in cities. Ageing, safety, inequality, malnutrition, migration, transport, pollution and a range of communicable and non-communicable diseases are among some of the problem areas for which better knowledge and data need to be created, integrated and communicated for improving urban decision-making. However, despite the increasing amount and availability of data the decision-making process requires more systems intelligence to better cope with complexity and progress towards the global goals and targets of the UN landmark agreements of the New Urban Agenda, the Sendai Framework for Disaster Risk Reduction, the Paris Agreement and the Sustainable Development Goals (SDG).

The UHWB programme therefore aims at promoting and encouraging the application of various types of systems approaches in different fields of urban health and wellbeing by developing methodology, identifying and integrating data, strengthening capacity, communication, outreach and decision support to support the implementation of the UN landmark agreements. The programme aims at facilitating the creation of systems intelligence for improving health and wellbeing in changing urban environments.

The UHWB Programme is directed by the Science Committee and the International Programme  Office  (IPO)  which  decided  to  establish  a  limited  number  of  International

Centres of Excellence (ICE). An ICE can be based on and located at existing organisations, such as Public Health Agencies, focusing on public, global, urban health research and service delivery, research and development, education and awareness raising with a focus on cities. The ICE should operate in networks of other hubs engaging and collaborating with other organisations in the region, country or city.

Read more for full details


Call For Papers: Special Collection on Research Data Alliance Results

Date: Jul 9, 2018

The Research Data Alliance (RDA) is an international member based organization focused on the development of infrastructure and community activities that reduce barriers to data sharing and exchange, and the acceleration of data driven innovation worldwide. With more than 6,900 members globally representing 137 countries, RDA includes researchers, scientists and data science professionals working in multiple disciplines, domains and thematic fields and from different types of organisations across the globe.

This special collection aims to collect and give visibility to research results and outcomes stemming from RDA activities.

In particular, it solicits high quality papers describing the latest results of RDA working groups (WGs) or interest groups (IGs) that have recently produced an output, including recommendation and associated use cases that could highlight the added value of RDA work in the data related fields.

The scope of the special collection is to become a point of reference for experts from the international community that are committed to directly or indirectly enabling data sharing, exchange, or interoperability. The aim is to promote the work carried out in IGs and WGs and bring the results obtained to the global data expert community. Specific tools, code, best practices, standards, surveys, recommendations, reports, and WG case statements will be brought to a larger audience via the peer-reviewed, open access Data Science Journal.

 Important dates

  • 1 September 2018 – First Submission deadline
  • Accepted articles will be published on-line on a rolling basis to the special collection as they are completed.

Publication fees

Publication fees (i.e. Article Processing Charges) for the first 6 articles will be covered by the “RDA Europe 4.0” project (funded by the European Commission, grant nr. 777388). No other fees will be charged to the Authors of this special collection for publication.

Guest editors

  • Leonardo Candela, Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Italian National Research Council, Pisa, Italy
  • Donatella Castelli, Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Italian National Research Council, Pisa, Italy
  • Emma Lazzeri, Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Italian National Research Council, Pisa, Italy
  • Paolo ManghiIstituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Italian National Research Council, Pisa, Italy

Paper Submission

Papers submitted to this special collection for possible publication must be original and must not be under consideration for publication in any other journal or conference. Previously published or accepted conference papers must contain at least 30% new material to be considered for the special collection.

All papers are to be submitted by following the instructions and guidelines availailabe at https://datascience.codata.org/about/submissions/. During the submission process authors should select the article type (Research Papers, Practice Papers, Reviews, Essays) and specify that the submission is to be considered for the special issue “Research Data Alliance Results” in the “Cover letter” to be compiled during the submission process.

 


Call for papers: BigSDM2018, International Conference on Big Scientific Data Management, China

Date: Jul 5, 2018

The International Conference on Big Scientific Data Management (BigSDM 2018) will be held in Beijing, China, during November 30th–December 1st, 2018. The Conference is jointly organized by Chinese Academy of Sciences, Peking University, Tsinghua University, Renmin University, CWI, and MonetDB Solutions.

 

BigSDM 2018 aims to bring together international experts from natural and computer sciences to explore the life-cycle management of Big Scientific Data, to discuss major methodologies and key technologies in Big Data-driven discovery making, to exchange experience and knowledge about Big Scientific Data across various fields through specific cases, and to identify the challenges and opportunities in scientific discovery acceleration. We hope to, through the conference, gather ideas for fostering new ways of scientific thinking, and promote big data sciences at large. 

Call for papers

The two-day conference provides an open forum to discuss the opportunities and challenges of a big scientific data ecosystem, and to explore best practices, standards, architectures and data infrastructures for fostering cross-disciplinary discovery and innovation.

Topics of interest include, but are not limited to:

  • Paradigms for enhancing scientific discovery through big data
  • Framework for helping the science and AI communities to work together
  • Data cleansing and quality assurance of science data
  • Data sharing and preservation policy
  • Data management challenges posed by big scientific data
  • Machine learning methods to facilitate/accelerate scientific discovery
  • Streaming data, sensor networks and complex event processing
  • Scientific workflow management
  • Science platforms: (hardware/software) tools for data discovery and analysis from different angles
  • Storage system for large scale scientific applications
  • Cloud technology for big scientific applications
  • Scientific data visualisation

Paper Submission

The online submission system is: https://easychair.org/conferences/?conf=bigsdm2018. Authors may submit to either the full paper or short paper track. Full papers should be between 10 to 12 pages in length, and short papers between 6 to 8 pages. All submissions must be written in English and conform to the Springer LNCS proceedings format.

Accepted papers will be published in LNCS proceeding.

Important Dates

Abstract submission: 

September 15,2018

Full papers submission: 

September 22,2018

Notification to authors:

October 20,2018

All deadlines are at 11:59PM Pacific Time.


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