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![The R Dimensions
reproducible repeatable replicable reusable
referenceable retrievable reviewable rerunnable
replayable re-interpretable reprocessable
recomposable reconstructable repurposable
reliable respec]ul reputable revealable
recoverable restorable reparable refreshable
@dder 14 April 2014
sci method
access
understand
new use
social
cura7on
De Roure, D. 2014. The future
of scholarly communications.
Insights: the UKSG journal,
27, (3), 233-238.
DOI 10.1629/2048-7754.171](https://image.slidesharecdn.com/newdatanewcomputation-160421091617/75/New-Data-New-Computation-25-2048.jpg)
![The R Dimensions
reproducible repeatable replicable reusable
referenceable retrievable reviewable rerunnable
replayable re-interpretable reprocessable
recomposable reconstructable repurposable
reliable respec]ul reputable revealable
recoverable restorable reparable refreshable
@dder 14 April 2014
sci method
access
understand
new use
social
cura7on
De Roure, D. 2014. The future
of scholarly communications.
Insights: the UKSG journal,
27, (3), 233-238.
DOI 10.1629/2048-7754.171](https://crownmelresort.com/image.slidesharecdn.com/newdatanewcomputation-160421091617/75/New-Data-New-Computation-25-2048.jpg)
Uploaded byDavid De Roure
New Data `New Computation
The document discusses the emergence of new forms of data and corresponding computational needs driven by advancements in technology, particularly the Internet of Things and social media analytics. It highlights the significance of real-time data analysis for understanding social processes and the evolving challenges associated with data security, privacy, and the integration of human and machine elements. Additionally, it emphasizes the necessity for advanced computational infrastructure and skills to effectively manage and utilize these complex data sets.
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New Data `New Computation
- 1. David De Roure @dder New Forms of Data: New Computational Needs DIRECTOR, UNIVERSITY OF OXFORD E-RESEARCH CENTRE
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- 3. TORCH DH Zooniverse IoT Engineering Cyber Linguis7cs English Oxford Mar7n School Saïd ARC IT Services ECI Geography SKA CUDA Physics Computer Science Maths History Oxford Internet Ins7tute Music Archaeology Classics Zoology Museums Wolfson Law Bodleian Libraries Pharmacology Biochemistry Social Sciences Mathematical, Physical & LifeSciences Humanities Medical Sciences Colleges GLAM
- 4.
- 5. Energy Efficient Computing Infrastructure (STFC) De-identified admin (inc.health) data Business data Open data (public sector) Social media data Research data Longitudinal survey data Open data Securely held data Environment data Business and LG Data Research Centres (ESRC) Admin Data Research Centres (ESRC) High Performance Data Environment (NERC) Clinical data Medical Bioinformatics (MRC) Understanding Populations (ESRC) Clinical Practice Datalink (MHRA, NIHR) 100,000 Genome Project NHS) Research Data Facility (EPSRC) European Bioinformatics Institute (EMBL) Bioscience E-Infrastructure (BBSRC) Square Kilometre Array (STFC) Digital Transformations (AHRC) Archive data Open Data Institute Commercial Research Understanding Populations (ESRC)
- 6. New Research Questions ▶ Socialmedia data offers the possibility of studying social processes as they unfold at the level of populations, as an alternative to traditional surveys or interviews. ▶ The data from social media is described as "qualitative data on a quantitative scale" and requires innovative analysis techniques. Social media data and real time analytics
- 7. https://twitter.com/CR_UK/status/446223117841494016/ Some people's smartphones hadautocorrected the word "BEAT" to instead read "BEAR". "Thank you for choosing an adorable polar bear," the reply from the WWF said. "We will call you today to set up your adoption." http://www.bbc.com/news/technology-26723457
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- 9.
- 10. Social Media Triangle socialmedia data and analytics social media for engagement with research social media as a subject of research Sam McGregor
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- 12. New Forms ofData ▶ Internet data, derived from social media and other online interactions (including data gathered by connected people and devices, eg mobile devices, wearable technology, Internet of Things) ▶ Tracking data, monitoring the movement of people and objects (including GPS/geolocation data, traffic and other transport sensor data, CCTV images etc) ▶ Satellite and aerial imagery (eg Google Earth, Landsat, infrared, radar mapping etc) http://www.oecd.org/sti/sci-tech/new-data-for- understanding-the-human-condition.htm
- 13. New Forms ofData Centre for Doctoral Training Much of the value of ‘new forms of data’ lie in the potential for them to be analysed in near real-time, which presents opportunities for revealing phenomena as they unfold, enabling timely response with immediate influence. Such analysis brings distinct new computational requirements, requires new skills, and makes new demands on the ease of use and capability of the national e-Infrastructure. http://www.esrc.ac.uk/funding-and-guidance/postgraduates/dtc/ dtc-policy/commissioning-of-centres-for-doctoral-training.aspx
- 14. A rehearsal forthe future ▶ The Internet of Things describes a world in which everyday objects are connected to a network so that data can be shared ▶ But it is really as much about people as the inanimate object ▶ It is impossible to anticipate all the social changes that could be created by connecting billions of devices https://www.gov.uk/government/publications/internet-of-things-blackett-review
- 15. There is nosuch thing as the Internet of Things There is no such thing as a closed system Humans are creative and subversive The Rise of the Bots A Swarm of Drones Accidents happen (in the lab, bin) Holding machines to account Software vulnerability Where are the throttle points? @dder
- 16. PETRAS Privacy, Ethics,Trust, Reliability, Acceptability, and Security for the Internet of Things • The fusion of the cyber, physical and human elements • Scale: from 1mm3 devices to large infrastructure systems • Managing devices throughout their (decades long) lifetimes • New and evolving threat landscape • Continue to operate when partially compromised The Challenges are numerous • Safety vs Security • Security vs Efficiency • Hardening vs Adaptive Response Tradeoffs
- 18. Data Detect StoreAnalyticsFilter Analysts
- 19. Real life isand must be full of all kinds of social constraint – the very processes from which society arises. Computers can help if we use them to create abstract social machines on the Web: processes in which the people do the creative work and the machine does the administration... The stage is set for an evolutionary growth of new social engines. The ability to create new forms of social process would be given to the world at large, and development would be rapid. Berners-Lee, Weaving the Web, 1999 (pp. 172–175) Social Machines
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- 21. Observer of one social machine Observersusing third party observatory Observer of multiple social machines Human participants in Social Machine Human participants in multiple Social Machines Observer of Social Machine infrastructure 1 4 2 3 5 6 SM SM SM Social Machine Observing Social Machines 7 @dder De Roure, D., Hooper, C., Page, K., Tarte, S., and Willcox, P. 2015. Observing Social Machines Part 2: How to Observe? ACM Web Science
- 23. Edwards, P. N.,et al. (2013) Knowledge Infrastructures: Intellectual Frameworks and Research Challenges. Ann Arbor: Deep Blue. http://hdl.handle.net/2027.42/97552
- 24. A computationally-enabled sense-making networkof expertise, data, software, models and narratives Big Data, in a Big Data Centre
- 25. The R Dimensions reproducible repeatable replicable reusable referenceable retrievable reviewable rerunnable replayable re-interpretable reprocessable recomposable reconstructable repurposable reliable respec]ul reputable revealable recoverable restorable reparable refreshable @dder 14 April2014 sci method access understand new use social cura7on De Roure, D. 2014. The future of scholarly communications. Insights: the UKSG journal, 27, (3), 233-238. DOI 10.1629/2048-7754.171
- 26.
- 27. New Data NewComputation ▶ From Large Hadron Collider to Large People Collider ▶ New forms of data, new social processes ▶ Internet of Things is a thing ▶ Growing requirement for realtime data fusion and analytics ▶ Increasing automation: growth of machine learning ▶ Fourth quadrant is underpinned by emerging computational capability
- 28. David De Roure david.deroure@oerc.ox.ac.uk Thanksto Christine Borgman, Emil Lupu, Sam McGregor, Nigel Shadbolt, Vonu Thakuriah. http://www.slideshare.net/davidderoure/new-data-new-computation