This document discusses intellectual property issues that can arise when sharing big data between different research infrastructures. It describes the BioMedBridges project, which enables data sharing across scales from molecules to humans. Various data types are being shared, including images, clinical trials data, and databases. Potential intellectual property issues include ownership attribution, secure data transfer and storage, and patentability. The document analyzes several use cases to validate the security framework, such as sharing personalized medicine data and structural data between research organizations. More information can be obtained by contacting the presenter or project websites.

1. Fit for purpose?
Big Data & Intellectual Property Rights
Astrid Woollard
European Data Forum 2013
10 April 2013, Dublin

2. BioMedBridges enables crosstalk between
10 European Research Infrastructures
SPATIAL SCALES
from molecules through cells and organs to
humans and the environment
TECHNOLOGIES AND
SPECIES THE DATA THEY
from bacteria through GENERATE
model organisms to from the
humans nanotechnology of
sequencing through
the spectroscopy of
TEMPORAL SCALES cellular and whole
from nanoseconds of organism imaging to
molecular motions to synchrotrons for
seconds of a heartbeat to structure
years of a human life and determination
the aeons of evolution

3. BioMedBridges is handling a variety of data,
transfer happens EU wide
Images
Structural data
Clinical trials data (audio, video files)
Tables, descriptions
Databases
Software scripts
 Copyright!

4. There are many different data sharing processes
with potential Intellectual Property issues
Ownership of data and IP / Author attribution
Data access / User authentication
Secure data transfer
Classification of data
Issues with patentability
Social engineering
Management of IP conflicts
...

5. Use cases enable validation of the security
framework
I. Phenobridge
II. Personalised Medicine
III. Structural Data
IV. Imaging
V. Translational Medicine
What is the data type? Where and how is data shared?
Where and how is data stored?
…..?

6. Use cases enable validation of the security
framework: Personalised Medicine
…a more complex example

7. Use cases enable validation of the security
framework: Structural Data Bridge
…a slightly more simple example

8. Use cases enable validation of the security
framework: Structural Data Bridge
 Pre-requisites for Structural Data Bridge analysis
Only Open Access data within Elixir
No data sharing via Instruct
 Identified issues of Structural Data Bridge
Data transmission
(raw and metadata, security of researcher’s identity, etc)
Data storage, albeit transient
(disposal of hard copies)
Quality statement of generated models (?)
Responsibility

9. Need more information?
My email address:
astrid.woollard@stfc.ac.uk
BioMedBridges:
info@biomedbridges.eu
www.biomedbridges.eu
Science and Technology Facilities Council
www.stfc.ac.uk
www.stfc.ac.uk/SCD/
This project is funded by the EU