While individually, progress continues within industrial data places and personal data market places (e.g. for user incentivization), a critical gap remains: that of blending personal and machine-generated (or other industrial) data, and the separate compliance requirements that attach to each. While individuals can benefit from machine-generated data, issues concerning indemnification and the limitation of liability must be considered in order for data to be made accessible. In the case of personal data blending, new compliance and infrastructure requirements must be considered before value can be realised. While both sides have value to gain from the other, data markets must evolve beyond pure incentivization schemes for unidirectional data transfers, and into more collaborative environments for value co-creation. Here we present two project ideas to explore this idea.
2. ICT Proposers‘ Day, Hungary November 2017
Adaptant®
Letting data work,
adaptably.
The Basics
• German SME based in Munich (est. 2015).
• Dedicated to empowering users over their
own data, while enabling new ways for
data to be used.
Your ICT Proposers’ Day Contacts:
Dr. Jodie Hatfield
Proposal Manager,
EU Research Projects
Ms Julianna Csécs
Head of Project Management Office
Our Scope
We are interested in providing our privacy-enabling technologies and expertise for the
protection, application, and enablement of private (e.g. personal) or sensitive (e.g.
industrial or commercial) data in cross-sector applications: Smart Cities, Agriculture,
Transport, Governance, Health, Digital Society, Digital Single Market, etc.
Our Core Competencies
• Policy Analysis and Inputs
• Market Analysis and Business
Model Innovation
• Multi-National IPR Management
• Privacy and Data Ethics by Design
• Standardization
• Open Source System Integration &
Software Engineering
Our Vision
Through empowering users to take control of their own data, new user-centric business
models and services will be realized, fundamentally changing the data value chain.
3. 01.11.2017
Background
ICT-13-2018-2019:
Supporting the
emergence of data
markets and the data
economy
While individually, progress continues within industrial data places and personal data
market places, a critical gap remains - that of blending personal and machine-
generated (or other industrial or commercial) data, and the separate compliance
requirements that attach to each:
• While individuals can benefit from machine-generated data, issues concerning
indemnification and the limitation of liability must be considered in
order for data to be made accessible.
• In the case of personal data blending, new compliance and infrastructure
requirements must be considered before value can be realised and data can
be safely operationalised.
Challenge
While both sides have value to gain from the other, data markets must evolve
beyond pure incentivization schemes for unidirectional data transfers, and into more
collaborative environments for value co-creation.
4. 01.11.2017
ICT-13-2018-2019:
Supporting the
emergence of data
markets and the data
economy
Project Ideas:
Data blending markets
for value co-creation
IA: Interoperable personal-industrial data platforms
Challenge
Within the IoT, individuals have begun to expect increased access to sensor data for
their own use (e.g. through third-party applications), while a lack of clarity in liability
creates ambiguity for manufacturers wishing to safely support the open innovation
models end-users have come to expect.
Our Contribution
Adaptant’s personal data management platform (PIMS) for the IoT, focused initially on
GDPR-enabling data-driven insurance (UBI) applications.
Pitch
• extend PIMS for interoperability with industrial data places
• focus on leveraging industrial/commercial data for the end-user’s benefit
• assisting industrial data platforms in the handling of personal data
Partners Sought
• Industrial platform providers and use cases that would benefit from the integration
of personal data.
5. 01.11.2017
ICT-13-2018-2019:
Supporting the
emergence of data
markets and the data
economy
Project Ideas:
Data blending markets
for value co-creation
RIA: Cross-sector data integration
Challenge
The emergence of increasingly complex and interdependent data value chains in areas
such as the IoT.
Pitch
Develop a platform and supporting methodologies to enable cross-sector data integration
and the blending of personal and commercial data with multiple policy and compliance
needs.
Outcomes
• New (especially non-monetary) models of user incentivization focusing on the value of
reciprocity and multi-sided data exchanges
• Extend work in privacy-aware decentralized and distributed data analytics and
processing systems to reflect the newly developed incentivization models
Partners Sought with Expertise in
• Novel user-incentivization models
• Data exchange protocols
• Complex data integration of regulated data
6. Let’s meet!
www.adaptant.io
Head
Project Management Office
julianna.csecs@adaptant.io
+49 176 246 88 942Ms Julianna Csécs
Proposal Manager,
EU Research Projects
jodie.hatfield@adaptant.io
+49 176 242 00 331Dr. Jodie Hatfield