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Archive for October, 2017

Research Support & Integrity – course for all PhD students: 22/11 and 06/12

By Myriam Fellous-Sigrist, on 19 October 2017

This regular training course introduces PhD students to research support available during the course of their studies. It is relevant for all PhD students, whatever the stage reached in their project and is applicable to all disciplines.

UCLQuadEach half-day session focuses on Research Integrity, Research Data Management, Data Protection, Research Ethics, Open Access and Research IT. It highlights good practices in these areas, as well as explain the expectations of researchers.

Two sessions will take place this Term, on Wednesdays 22/11 and 06/12. More dates will be available in the next Terms.

Booking information is available on the Doctoral Skills Development Programme website.

Digital skills development – courses and drop-ins for staff and students

By Myriam Fellous-Sigrist, on 11 October 2017

KeyBoards22Students and staff can now book courses to develop their skills in a wide range of topics, including bibliographic software, data analysis, databases, graphic applications, SharePoint, UNIX, R, spreadsheets and more.

Digital skills drop-ins are also available during term time, on Wednesdays.

Find more information about dates, locations and how to book the courses.

What is FAIR data?

By Daniel Van Strien, on 9 October 2017

The FAIR data principles aim to provide a framework to ensure that research data can be effectively reused. The principles are outlined below alongside recommendations for practically achieving these principles.

Why FAIR data? 

The FAIR Data Principles were developed by a FORCE11 group and originally published in Nature Scientific Data in 2016. The authors argue that ‘Good data management is not a goal in itself, but rather is the key conduit leading to knowledge discovery and innovation, and to subsequent data and knowledge integration and reuse by the community after the data publication process.’

What are the fair data principles?

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A forum to learn about Data Intensive Research across disciplines – 13/11, London

By Myriam Fellous-Sigrist, on 5 October 2017

Data Intensive Science is a rapidly emerging, cross disciplinary research challenge already traversing the fields of Materials Science, Bio-medical research, Computational Engineering and Digital Humanities (to name a few).

This event is being hosted by King’s College London and the Science and Engineering South Consortium (SES) and is open to researchers, support staff, academics and industry members from across King’s College London, the SES Consortium (including UCL) and the UK (limited places).

This event aims to bring together researchers from varying disciplines across SES and provide them with a forum to share ideas, discover cross-disciplinary patterns in data intensive research, and solve larger research problems.

See the programme and register now.