News & Articles
Call for Suggestions and Contributions on Implementing the FAIR Data Principles: EC Expert Group on Turning FAIR Data into Reality
The call for contributions
is framed in terms of the five proposed report chapters, namely:
A description of the planned coverage of each section is given, together with some questions to guide contributions.
A GitHub repository has been established to enable the community to contribute suggestions and resources in the open. Please see the guidelines and examples
on how to contribute.
We will also host two open community sessions to allow people to contribute ideas to the FAIR data expert group in real-time and in a moderated forum to allow discussion with the group. These will take place on Monday 3rd July from 14:00-16:00 CEST and Wednesday 26th July from 10:00-12:00 CEST. Further details on how to join will be circulated nearer the time.
The consultation is open between 12 June 2017 and 31 July 2017. Early input is encouraged to allow time for follow-up discussion.
Data Power 2017 Conference in Ottawa June 22-23!
Carleton University's School of Journalism and Communication is pleased to present Data Power 2017, a two-day, international conference on (big) data and power, in collaboration with the University of Sheffield, in the UK.
The conference will focus on critical questions about the power of data, and about the social and cultural consequences of data becoming increasingly pervasive in our lives. Below is a small selection of panel topics:
- Data Activism
- Data Governance and Global Perspectives
- Data Infrastructure Interventions
- Data and Algorithmic Power
- Data and Capital
- Data Justice and Social Movements
- Data Identities & Bodies
- Data and Surveillance
and many more....
Data Power 2017 aims to create a space to reflect on critical issues relating to data’s ever more ubiquitous power. We are excited to be hosting the following keynote speakers:
- Paul N. Edwards, University of Michigan, author of A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming (2010).
- Stefania Milan, University of Amsterdam, author of Social Movements and Their Technologies: Wiring Social Change (2016), and PI of the DATACTIVE project.
- Frank Pasquale, University of Maryland, author of The Black Box Society: The Secret Algorithms that Control Money and Information (2015).
- Gwen Philipps, Governance Transition Ktunaxa Nation & BC First Nations Data Governance Champion.
Data Power 2017 Conference
June 22-23, 2017
Richcraft Hall (formerly River Building)
1125 Colonel By Drive, Ottawa CA
For full conference details, including Program, Registration and please visit the conference website at Data Power 2017, or contact email@example.com.
CODATA 2017 Conference, 'Global Challenges and Data-Driven Science’, 8-13 October 2017, Saint-Petersburg, Russia: http://codata2017.gcras.ru/
Now Accepting Submissions for Sessions and Papers: deadline 30 June http://conference.codata.org/2017/submit/
The purpose of the CODATA 2017 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. The priority themes of CODATA 2017 http://conference.codata.org/site/themes-scope/
- Achievements in Data Driven Science: covering concrete achievements in data-driven science across all research areas;
- Earth Observations Data and the Earth’s System: including data collection, analysis and integration of Earth observations and the study of the Earth’s system;
- Data and Disaster Risk Research: covering the collection, analysis and integration of data for disaster risk research;
- Data Driven and Sustainable Cities: covering the use of data for Smart Cities, sustainable and resilient urban development;
- Big Data in Scientific and Commercial Sectors: covering the shared data challenges of Big Data management and analysis in both the scientific and commercial sectors;
- Data Analysis, Event Recognition and Applications: covering the fundamental and practical issues of relating data analysis, event recognition and application;
- National and International Data Services: covering the coordination and development of national and international data services;
- Research Data Services in Universities: covering the development of research data services in universities and other research organisations;
- Coordination of Data Standards and Interoperability;
- FAIR Data and the Limits of Open Data;
- Metrology, Reference Data and Monitoring Data: covering fundamental physical constants, metrology, issues around the reliability and standardisation of reference data in all domains;
- Sessions and abstracts concerning other themes relating to data policy, data science and data management for all areas of research will be considered.
CODATA 2017 is running simultaneous proposals for sessions and papers. The deadline for both types of proposal is 30 June 2017.
It is the responsibility of session organisers to ensure that the papers that comprise a proposed session are also submitted by the deadline of 30 June.
Papers may be proposed either 1) in relation to simultaneous proposal for a session; or, 2) independently of a session proposal in order to be assigned to an appropriate thematic session by the organisers.
The conference will take place in the wonderful setting of the St. Petersburg Museum of Art. See http://codata2017.gcras.ru/
for further information about the venue, location, accommodation and registration.
Open Review of IRIDIUM Research Data Management Glossary is now invited and is open until 30 June 2017
The International Research Data Management (IRiDiuM) Glossary (http://www.codata.org/working-groups/standard-glossary-for-research-data-management-iridium) and (http://dictionary.casrai.org/Category:Research_Data_Domain) is intended as a practical reference for individuals and working groups concerned with the improvement of research data management, and as a meeting place for further discussion and development of terms.
The aim is to create a stable and sustainably governed standard glossary of community accepted terms and definitions, and to keep it relevant by maintaining it as a ‘living document’ that is updated when necessary.
Definitions should be clear and unambiguous, and where possible, fit with common usage. Definitions should be apposite across research data management activities of key stakeholders, including, but not limited to: researchers/authors, research management, research policy, computer science, IM/IT, research administration, libraries; scholarly publishers, and research funders. Some terms may have more than one definition, in which case the relevant context should be specified.
In this year’s first review cycle, the Working Group convened by CASRAI, CODATA and Research Data Canada has delivered a subset of new and edited terms for addition to the IRIDUM Glossary.
IRiDiuM is led by a Program Committee: https://forum.casrai.org/groups/ca-IRiDiuM-pc
Open Review is now invited for these new and revised terms. This review is open until June 30, 2017.
The new and revised terms are listed at https://forum.casrai.org/c/dev/iridium - to comment on the terms you will need to register on the forum.
Essex Big Data and Analytics Summer School
INSTITUTE FOR ANALYTICS AND DATA SCIENCE
24th July - 4th August 2017
University of Essex, Wivenhoe Park, Colchester, United Kingdom
The Essex Big Data and Analytics Summer School is a multidisciplinary research training event and forum for knowledge exchange and networking for graduates, postgraduates, researchers and professionals in the emerging fields of data science, analytics and big data who would like to find out more or be updated on the current trends and developments in this exciting and fast-developing field. The Summer School is organized by the Institute for Analytics and Data Science (IADS) at the University of Essex, UK.
This is the third year that the Big Data and Analytics Summer School is running and following the successful events in previous years, the programme covers a range of topics from the curation and management of big data, advanced techniques and methods including artificial intelligence and statistical methods, and applications of big data in fields ranging from business and finance to bioinformatics. Courses are offered for participants with a science, social science or humanities background at different levels (Beginners, Intermediate or Advanced). Courses range from theoretical to lab-based or a mixture of theory and lab-based instruction and practice. Thirty five courses will be delivered by academic and industry experts in parallel sessions over the two week period. Participants can attend either one week or both and can choose the courses of most interest to them to create their own programme of study. For more detailed information on the range and content of courses visit:
The Summer School includes keynote lectures from academic and industry experts delivered over the two weeks.
Social events will be organised each week to enable participants to network and share ideas and experience of data analytics, data science and big data.
Registration and further information
Spaces in the various courses are allocated on a first come first served basis and are limited, so early registration is advised to avoid disappointment and take advantage of the early registration discount.
A number of scholarships are available, in particular for participants from developing and transitioning countries (see website for information).
For further information or specific queries, please email the Emma McClelland, Summer School Administrator, at: firstname.lastname@example.org.
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