The British Library, 96 Euston Road, London, NW1 2DB
The British Library, The Software Sustainability Institute and The Alan Turing Institute are co-organising a workshop on Software Citation on the 13th and 14th May 2019 at the British Library, to raise the profile of the topic, provide information and address current challenges.
This workshop is split over two days; each day is mostly independent and aimed at different audiences. Please note that there is no "all inclusive ticket type" - make sure you book tickets for each part of the workshop you are interested in.
The British Library is the national library of the United Kingdom and gives access to the world’s most comprehensive research collection. It provides world class information services to the academic, business, research and scientific communities and offers unparalleled access to the world's largest and most comprehensive research collection. It is a partner in FREYA (Connected Open Identifiers for Discovery, Access and Use of Research Resources), an European Commission funded project which iteratively extends the use of persistent identifiers into a core component of European and global research e-infrastructures. FREYA aspires to increase the use of PIDs for an expanding range of research resources including software.
The Software Sustainability Institute is an EPSRC, AHRC, BBSRC, ESRC, NERC, MRC and STFC funded national facility that cultivates world-class research with software. We help people build better software, and we work with researchers, developers, funders and infrastructure providers to identify key issues and best practice in research software.
The Alan Turing Institute is the national institute for data science and artificial intelligence. The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence. The Institute’s goals are to undertake world-class research in data science and artificial intelligence, apply its research to real-world problems, drive economic impact and societal good, lead the training of a new generation of scientists, and shape the public conversation around data.
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