The (ALLEA) E-Humanities Working Group is seeking feedback on its draft guidance for humanities researchers working with data:

Recommendations for Sustainable and FAIR Data Sharing in the Humanities

Deadline: 15 July 2019

There is a growing consensus that research data needs to be FAIR – Findable, Accessible, Interoperable, Reusable.  That is, it must be managed, organised, preserved, and open to scrutiny and reuse. For this to happen requires a collective rethink of the role of data in the research lifecycle and a change in organisational culture and practices, both across the UK and internationally.

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UCL Library Services is pleased to invite UCL staff to an afternoon of information and discussion about the UK Data Service (UKDS).

The UKDS is funded by the ESRC to meet the data needs of researchers, students and teachers in the Social Sciences and Humanities. Its collection includes major UK government-sponsored surveys, cross-national surveys, longitudinal studies, UK census data, international aggregate, business data, and qualitative data.

Participants will learn how to access these collections as well as how to deposit their own research data and sources in the UKDS repository, ReShare. During the drop-in session participants will be able to ask questions about data sharing, ESRC data management plans, consent procedures, data storage, encryption and more.

The event will take place in the Institute of Advanced Studies (IAS) Common Ground.

See the programme and book your place.

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.