The document discusses three case studies from the BYTE project:
1) Crisis informatics uses social media data and crisis maps to provide faster disaster relief. It faces challenges regarding privacy and data reliability.
2) Cultural data aggregates over 25 million digitized cultural heritage objects in Europe but struggles with intellectual property rights and copyright.
3) Health data aims to discover new genetic links for rare diseases through sequencing but is limited by funding, regulations, and risks of discrimination.
1. BYTE:
A-XLRM summary for BYTE case studies
Rachel Finn
Trilateral Research, Ltd.
BYTE project coordinator
Big data roadmap and cross-disciplinary community for
addressing societal externalities
Crisis, culture and health
10 February 2016
2. Crisis informatics
case study
Background information
◦ Undertaken with the Research Institute for Crisis
Computing
◦ Machine computing and human computing to make
crisis maps from social media
◦ RICC provides the open source tool to humanitarian
organisations and manages interaction between
inputs and outputs
◦ Data characteristics
◦ 100,000s messages and images/day
3. @BYTE_EU www.byte-project.eu
Actors & Stakeholders
Actors
• RICC
• Humanitarian
organisations
• Government
• Firms: big data capabilities
• Firms: big data providers
Stakeholders
• Social media users
• Local communities
• Those affected by crises
4. @BYTE_EU www.byte-project.eu
External forces & policy levers
• For governments
• Making additional data
sources open
• For RICC and data centres
• Reducing the digital divide
• Harmonising laws
Policy levers
• Climate change
• Natural disasters
• Political conflicts
External forces
6. @BYTE_EU www.byte-project.eu
Measures of merit
Positive
• Faster relief
• Better resource predictions
• New business models through
open data
• Infrastructure and technology
improvements
Negative
• Privacy issues, incl. data
misuse
• IPR issues
• Distraction from core
humanitarian tasks
• Difficulty assessing data
reliability
7. Cultural data
case study
Background information
◦ Undertaken with A Pan-European Cultural Heritage
Organisation (PECHO)
◦ EU-funded aggregator of more than 25 million
digitised objects from cultural heritage institutions in
Europe
◦ Incl., books, sculptures, paintings, films, maps, audio recordings, etc.
◦ Data is primarily comprised of metadata outlining
other organisations’ collections
8. @BYTE_EU www.byte-project.eu
Actors & Stakeholders
Actors
• National European cultural
heritage organisations
• PECHO
• Policy makers
• Legal professionals
• Public and private funding
bodies
Stakeholders
• General public
• Libraries, archives, galleries,
museums
• Open data advocates
9. @BYTE_EU www.byte-project.eu
External forces & policy levers
• National and European
governments as major
sources of funding and
policy framework
• Managing intellectual
property issues/ copyright
reform
Policy levers
• Clearer information on data
sources
• Copyright issues
• Qualified workforce
• Diverse European language
• American dominance over
infrastructure
External forces
11. @BYTE_EU www.byte-project.eu
Measures of merit
Positive
• Exploiting the metadata
• Innovations of cultural
services
• New applications & business
models within cultural
heritage
Negative
• IPR and copyright challenges
• Ethics of opportunistic search
engines
12. Health case
study
Background information
◦ Undertaken with a university-based Genetic Research
Initiative
◦ Discovery of new genetic links in relation to rare
childhood diseases to aid treatment
◦ Data is primarily comprised of genetic profiles, which
are growing in size as new sequencing techniques
become more affordable
13. @BYTE_EU www.byte-project.eu
Actors & Stakeholders
Actors
• Health policy-makers
• National Health Service
• Genetic Research Initiative
• Scientists and labs conducting
genetic sequencing
• Medical professionals
Stakeholders
• Patients and family members
• Computational geneticists
• Academics
14. @BYTE_EU www.byte-project.eu
External forces & policy levers
• Health policy
• Regulations
• Funding restrictions
• Treatment service restrictions
• GRI
• New business models based
on genetic data
Policy levers
• National healthcare policies
• Disease outbreaks
• Personal data protection
laws
External forces
16. @BYTE_EU www.byte-project.eu
Measures of merit
Positive
• Better treatments in near-
term and long-term
• Reduction of costs
• Better research
• Better access to information
through open data
Negative
• Access to equipment
• Budget restrictions
• Discrimination because of
income or disease category
• Discrimination as a result of
re-identification
17. @BYTE_EU www.byte-project.eu
Thank you for your attention!
Key contacts:
◦ Rachel Finn, rachel.finn@trilateralresearch.com
◦ Kush Wadhwa, kush.wadhwa@trilateralresearch.com
Website: www.byte-project.eu
BYTE on Twitter: @BYTE_EU
Notes de l'éditeur
Harmonizing laws: dealing with territoriality of data as it is often crossing international borders with different legal regimes.
Harmonizing laws: dealing with territoriality of data as it is often crossing international borders with different legal regimes.
Harmonizing laws: dealing with territoriality of data as it is often crossing international borders with different legal regimes.