Access the webinar: http://goo.gl/p08pTz These slides were presented in a webinar by Denodo in collaboration with BioStorage Technologies and Indiana Clinical and Translational Sciences Institute and Regenstrief Institute. BioStorage Technologies, Inc., Indiana Clinical and Translational Sciences Institute, and Regenstrief Institute (CTSI) have joined Denodo to talk about the important role of technological advancements, such as data virtualization, in advancing biospecimen research. By watching this webinar, you can gain insight into best practices around the integration of biospecimen and research data as well as technology solutions that provide consolidated views and rapid conversions of this data into valuable business insights. You will also learn how data virtualization can assist with the integration of data residing in heterogeneous repositories and can securely deliver aggregated data in real-time.

1. Data Virtualization
Modernizes Biobanking

2. Speakers
Lori Ball
COO & President,
Integrated Solutions
William Barnett
Chief Research
Informatics Officer
Suresh Chandrasekaran
Senior Vice President
Ravi Shankar
CMO

3. Comprehensive Sample Management
Data Virtualization in Healthcare
Integrated Biobank Visual Analytics
Solution Development

4. Lori A. Ball
COO & President,
Integrated Solutions
Comprehensive Sample Management Solutions
www.biostorage.com
Biorepository and Biobanking Sample Storage –
Onsite and Offsite
Supply Chain Services
– Logistics and Relocation
Technology Solutions - ISIDOR®
Business Continuity / Disaster Recovery
Bioprocessing Solutions
– Sample Preparation /Genomics/Cell Services
Project Management Services
Millions Samples
Stored around world
>200 sample types
>275 Clients
18 of the top 20 global
biopharma companies
4 global site locations
(US, Europe, Singapore,
China)
+27ºC to -190ºC
storage temperatures
Thousands ft²
facility space
Technology
US FDA 21 CFR Part 11
compliant
Quality
CAP, GxP, NRC,
IATA, CCSF

5. 5
Healthcare Industry Trends Impacting Biobanking
Industry focus on
precision medicine1
Bioscience research
budget challenges2
Expansion in global
clinical trials3
Growing industry and
research
collaborations
4
Increasing need for more
transparent and
standardized informed
consent tracking
5
Growing demand for
integrated sample and
research data
6
Research organizations are beginning to intelligently apply data integration and visual analytics
tools in ways that enable researchers to both explore and interact with aggregate data. 1
Source: 1 2020 Vision: Fulfilling the Future of Clinical Research, Applied Clinical Trials, Feb 2015.

6. Development of effective data management systems is the #1 challenge facing individuals
managing biobanks today.1
Source: 1 PharmaVoice, “The Internet of Things”, March 2015
Data Integration
(physical & virtual)
Virtualization
Valorization
Visualization
Cloud Storage: SAS, SQL, Oracle, ERP
Consolidated
Data Center /
Logical Data
Warehouse
Biobanking Industry Data Integration Challenges

7. ISIDOR® Technology Solutions
A transformational and
scalable informatics platform
which integrates research
and sample data to advance
bioscience discoveries.

8. How Data Virtualization Works and
the Value it Delivers in Healthcare
Suresh Chandrasekaran | Senior Vice President, Denodo

9. Denodo at a Glance
© Copyright Denodo 2015 9
Denodo offers unified access to corporate data assets, flexible integration and management of data of all
kinds, and real time data delivery for applications and analytics in a single solution that doesn't need to
move data from their original physical repositories.
Headquarters
Palo Alto, CA
Denodo Offices, Customers, Partners
Global presence throughout North
America, EMEA, APAC and Latin
America
Leadership
Longest continuous focus on
data virtualization and data
services. Product leadership.
Solutions expertise.
Customers
250+ customers,
including many F500 and
G2000 companies across
healthcare, life sciences,
technology, media,
telecommunications,
insurance, financial services,
consumer/retail, energy and
public sector.

10. What is Data Virtualization?
© Copyright Denodo 2015 10
Data Virtualization combines disparate data sources into a single “virtual” data abstraction
layer (aka information fabric) that provides unified access and integrated data services to
consuming applications in real-time (right-time).
Connect
&
Virtualize
Combine
&
Integrate
Publish
as a Data
Service
Local Database XML Documents
Name | Description | Price Name | Description | Price
U
∞
Name | Manufacturer | Score
Name | Description | Manufacturer | Price | Score
Application
Browser
ResultsSQL Query
Base View
Base View
Base View
Derived View
Data Service
(SQL, SOAP, REST, Widgets…)

11. DV Enables Agile Info Architecture
Many to Many
Agile BI &
Agile Apps
Data Services
Any Data,
Anywhere
Integrate
New Sources
Optimized
Performance
© Copyright Denodo 2015 11

12. DV Has Several Uses in Life Sciences
© Copyright Denodo 2015 12
Disparate Data
Any Source
Any Format
Data Virtualization
Right Information
at the Right Time
Business Solutions
Access Information-
as-a-Service
Research
Scientific Knowledge Base
Competitive Intelligence Portal
Drug Development
Clinical Data Collection
Compliance Reporting
Commercial
Sales & Marketing Automation
Single View of Physician
Scientific
Clinical
Intellectual
Property
Business
Data
Pharma
Relationship Map
Research, Trial
Bioinformatics,
Clinical
Internal
External
Patent Data Financial Data
Patent Issues Competitive Info
Drug
CEME
Company
Disease

13. Biosample and Research Intelligence Example
© Copyright Denodo 2015 13
 Access heterogeneous
data sources
 Create logical
abstraction layer
 Deliver canonical
business views
 Data services – access
anywhere
 Agile data integration
and quality
 Minimize replication
(cost, time)
 Enterprise to cloud
scalable, secure
TrialCRO
Samples
Clients
Consent
Data Virtualization Layer
BusinessNeed
(CanonicalViews)
RealWorld
(SourceDataViews)
Clinical Trial Data
CTMS
Biorepository Data
SMS
Researcher Data
Laboratory Data
SDMS
LIMS
Biobank Data
SMS
Hospital / Clinic Data
SDMS

14. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Indiana CTSI Integrated Biobank
Visual Analytics
William K. Barnett
Chief Research Informatics Officer
Indiana CTSI and
Regenstrief Institute

15. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
The Indiana CTSI:
To transform the participating institutions to create an environment that facilitates the
conduct of clinical and translational science research.
• One of 62 national translational institutes, funded by the NIH
• A Statewide collaboration among Indiana U., Purdue, and Notre Dame to
advance translational research
• Partnerships with healthcare providers to improve care
• Partnerships with industry to speed discovery to market

16. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Goals of the Indiana CTSI
• Accelerate translational research
• Train a new cadre of translational researchers
• Foster robust community engagement
• Build facile research resources and technologies
• Leverage the Indiana and national partnerships

17. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Informatics Programs
• Community portals such as IndianaCTSI.org
• Research systems such as our clinical research and trials
management systems
• Data collection and management systems, including biobanks
and registries
• Systems Integration – instruments, research process
• Data integration and analytics

18. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Biobank Integration and Analytics
• Biospecimens and their affiliated
demographic, phenotypic, and
genotypic data are a critical research
assets
• We collect biospecimen data through
the Indiana Biobank, research biobanks
at IU, and biospecimen registries at IU
and elsewhere.
• As we move to precision medicine,
comparing and integrating these data
will be a key element in improving care.

19. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Towards Integrated Visual Analytics
• Many biorepositories on different platforms.
• Goal to eliminate redundancies and identify opportunities
for research.
• BioStorage already provides redundant specimen storage
for many of our biorepositories.
• This ISIDOR® project is a proof of concept to visualize
aggregate specimen data.

20. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
informatics platform integrates research and sample data
Enhance
Sample & Data Optimization
Accelerate
Medical Research
Improve
Sample & Data Sharing
• Project Vision: To create an environment where sample assets and data sharing
across the enterprise enhances opportunities to support and accelerate research

21. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Use Case 1: Visualizing Tissue Availability
for Research
• Background: IU Simon Cancer Center (IUSCC) Tissue Procurement
and Distribution Facility has the responsibility to collect and distribute
biospecimens to support cancer research. As such, the IUSCC would
like to make biospecimen data available to as widely as possible to
the IU research community.
• Problem solved: Enabling researchers to visualize the availability of
specific subsets of samples and publicizing this within a shared
database enables improved sample asset sharing across the
research enterprise.

22. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Use Case: Visualizing Tissue Availability for Research

23. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Use Case 2: Enabling Research Study
Feasibility
• Background: An investigator with a research idea must first determine
if the study is feasible based upon availability of viable samples which
meet the study requirements.
• Problem solved: The researcher’s ability to isolate data about the
availability of different types of tissue and matching bio-
macromolecules is crucial for planning the types of experiments that
can be performed.

24. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Use Case: Enabling Research Study Feasibility

25. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Use Case 3: Tracking Multi-Center Study
Collections
• Background: In a multi-center clinical study, research labs from
multiple research or clinical institutions will be accruing participants
and collecting specimens to meet research goals. One challenge is
the need to accurately track the number and source of samples from
each participating center.
• Problem solved: The development of a centralized dashboard for
querying and reporting sample collections within a multi-center study
will enable researchers to identify if the overall study collection goals
are being met, and whether each study center is contributing as
planned.

26. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Use Case: Tracking Multi-Center Study Collections

27. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Use Case 4: Disease Sample Collections
• Background: Researchers often need access to biological research
samples and data that may not exist within their internal biobanks or
databases that are managed by research foundations, government
agencies and epidemiological biobanks that relate to specific medical
conditions, diseases and populations.
• Problem solved: A visual dashboard for querying and reporting the
demographics of samples collected within a research foundation,
demographic and phenotypic data on these normal volunteer samples
support research programs.

28. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Use Case: Disease Sample Collections

29. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Business Benefits
• Optimized operations with better data management tools
• Acceleration of research by rapid, user-defined querying
• Increase grant competitiveness and sponsor partnerships

30. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Roadmap
The Indiana CTSI sees data integration as a key component
to the next wave of research that will move discoveries to
healthcare improvements, particularly in areas such as:
– Precision Medicine
– Epidemiology and Population Health
– Heath Services Research
– Quality Studies

31. ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH
www.indianactsi.org
Reflections
 A journey of many steps and many partners
 Careful planning leads to responsive and useful analytics
 The tools are only as good as the data

32. Speakers
Lori Ball
COO & President,
Integrated Solutions
William Barnett
Chief Research
Informatics Officer
Suresh Chandrasekaran
Senior Vice President
Ravi Shankar
CMO
Panel

33. Next Steps
To learn more about ISIDOR
Technology solutions, visit
http://www.biostorage.com/isidor/
To learn about agile data solutions
for life science organizations,
download http://bit.ly/1QKCdyZ
To learn more about Indiana CTSI
and their translational research,
visit http://www.indianactsi.org

34. © Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical,
including photocopying and microfilm, without prior the written authorization from Denodo Technologies.
Thanks!
Lori Ball William Barnett Suresh Chandrasekaran
lori.ball@biostorage.com barnettw@iu.edu suresh@denodo.com
www.biostorage.com www.indianactsi.org www.denodo.com