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BEGIN:VEVENT
DTSTAMP:20260610T224856Z
DTSTART;VALUE=DATE:20160406
DURATION:P2D
SUMMARY:ATI Symposium on Reproducibility\, Sustainability and Preservatio
 n
UID:20160406-094d4345519082ed01521bafdb5e1510@warwick.ac.uk
CREATED:20160107T104415Z
DESCRIPTION:Event open to researchers and staff of the ATI joint venture 
 partners and by invitation to participants from other universities and o
 rganisations. This symposium will discuss the challenges around reproduc
 ibility and sustainability of data-intensive research outputs\, across t
 he disciplines of focus of the ATI. Reproducibility is both a technical 
 and a socio-cultural issue\, requiring new metadata systems\, technical 
 architectures\, workflows and research working practices in an increasin
 gly open and transparent environment. One area of emphasis will be the A
 TI’s own outputs\, which will include algorithms\, computations\, data a
 nd code. The workshop will convene an interdisciplinary group of researc
 hers and data scientists to discuss these challenges in sectors in which
  the ATI intends to have greatest impact\, for example in health\, medic
 ine\, bioscience\, urban environments\, finance\, transport\, social sci
 ences and digital media. As well as researchers from the ATI community\,
  the symposium will coalesce a broad spectrum of UK and international st
 akeholders from institutions such as the Digital Curation Centre and the
  Software Sustainability Institute\; and from publishers and data reposi
 tories. Our objective is to crystallise research challenges\, to underst
 and implementation issues\, foster knowledge exchange and to maximise do
 wnstream impact. Key topics to be addressed will include: Reproducibilit
 y for big data\, real-time data Role of data provenance in supporting re
 producibility Soundness of computational models Cloud technologies\, int
 ensive computation and engagement with service providers Data curation\,
  management and archiving\; software sustainability and digital preserva
 tion in a data science context Data citation\, re-use and methods of att
 ribution for derived data Data openness and transparency\, privacy and c
 onfidentiality issues. This event is funded by the Alan Turing Institute
 \, and generously sponsored by Oxford University Press. For further info
 rmation please contact Lucie Burgess\, via her PA at oana-irina.dominte@
 bodleian.ox.ac.uk.
LOCATION:Oxford
CATEGORIES:ATI
LAST-MODIFIED:20160107T104748Z
ORGANIZER;CN=David Firth:
END:VEVENT
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