open data and query services: introduction

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Pistoia Alliance invites you to an online information session Data & Query Services Monday, June 6, 2011 www.pistoiaalliance .org | Lowering Barriers to R&D Innovation with presentations by 7:30am – 9:00am PST, 10:30am – 12:00pm EST, 3:30pm - 5:00pm UK

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Pistoia Alliance Technical Committee Chair Pierre Menard explains the need for open data and query services in pharma in this webinar hosted by the Pistoia Alliance.

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Page 1: Open Data and Query Services: Introduction

Pistoia Alliance invites you to an online information session

Data & Query ServicesMonday, June 6, 2011

www.pistoiaalliance.org| Lowering Barriers to R&D Innovation

with presentations by

7:30am – 9:00am PST, 10:30am – 12:00pm EST, 3:30pm - 5:00pm UK

Page 2: Open Data and Query Services: Introduction

Who’s here?

Page 3: Open Data and Query Services: Introduction

Pistoia Mission

Lower the barriers to innovation by improving interoperability of R&D business processes through pre-

competitive collaboration

www.pistoiaalliance.org

Page 4: Open Data and Query Services: Introduction

Agenda – Data & Query Services

• Introduction– Pierre Menard, Pistoia Technical Committee Chair

• RDF + SPARQL– Bob Stanley, CEO at IO Informatics– Eric Prud’hommeaux, W3C HCLSIG

• OData– Pablo Castro, Principal Architect at Microsoft

• Q&A• Wrap-up

Page 5: Open Data and Query Services: Introduction

Background – Data as a Service

• Why– Authoritative/master data sources– Unlock data silos to leverage existing information assets– Integrate with reporting, analytics, and collaboration

tools to improve decision making– Self-service data mashups

• Design criteria– Neutral technology– Choice of API – Choice of data format– Choice of query language– Choice of …– Did you know standards exist?

Page 6: Open Data and Query Services: Introduction
Page 7: Open Data and Query Services: Introduction

Benefits of aligning to standards

• Functionality– Generic mechanisms for representing data and relationships

between data– Query semantics for searching, filtering, sorting your data– Less code you have to write, support and maintain.

• Good design– API stability– Efficiency– Extensibility– Backward/forward compatibility– API versioning– Paging– Don’t reinvent the wheel!

Page 8: Open Data and Query Services: Introduction

Benefits of aligning to standards

• Inter-operability– Native support in applications means little or no integration

work

• Supportability– Online community available to you– Easier to find support and maintenance staff

• Web friendly– Supports selective partner integration– Aligns well to modern computing approaches such as cloud

and mobile computing– RESTful

• Resource centric approach aligns very well to data services• Easier for your end users• Benefits from piggybacking off HTTP (caching, security, etc)

Page 9: Open Data and Query Services: Introduction

Integrated capability

Culture

TechnologyP

roce

ss

People

It’s not just about technology

Page 10: Open Data and Query Services: Introduction

Pistoia wants to gauge your interest• Should Pistoia align to these

standards in Pistoia portfolio projects?

• Will you align to these standards in your projects/products?

• Are you interested in future informational sessions like this one?

Page 11: Open Data and Query Services: Introduction

Today’s Speakers

Bob Stanley, CEO of IO InformaticsEric Prud’hommeaux, W3C HCLSIG

Pablo Castro, OData Inventor and Principal Architect at Microsoft