the data limbo in modern biomedical research

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The data limbo in modern

biomedical research

Jorge Bouças

Problem Resources Solution

¿ ✔ ︎

Problem Resources Solution

¿ ✔ ︎

The “bottom-up” / “top-down” paradigm

Pre-school

Universities Brazil

South Korea

Pre-school

Universities Brazil

South Korea

Bui

ld /

Con

stru

ct

Man

age

/ Dec

isio

n m

akin

g The “bottom-up” / “top-down” paradigm

Profit focused organizations

Knowledge, sharing, innovation

IT

Research

Production Biologics

Chemistry

Material Sciences

Knowledge, sharing, innovation

IT

Research

Production Biologics

Chemistry

Material Sciences

0 25 50

User generated input

Company’s website

News articles

Trust (%) March, 2014

Knowledge sharing

Organization structure

Information and Organization

Information and Organization

Structure-driven profit

Information-driven innovation

Information Technology

(IT) platforms

Information and Organization

Information Technology

(IT) platforms

machine human

Old concept

New interface

All-in-one

Simple!

User generated

content

Apps

Information and Organization

Information Technology

(IT) platforms Old concept

New interface

All-in-one

Simple!

User generated

content

Apps

machine human

Why start with labbooks?

Bot

tom

-Up

Electronic Laboratory Notebooks (ELNs)

Research

Planning Execution

Analysis

ELN

Electronic Laboratory Notebook

Index . . . . 12.08.2014 . RNA immuno-precipitation (RIP) . . .. ...

Apps App1 . . . . . Buffer App Add Serial Create Buffer . . . . AppX

Buffer Serial: B299, 22.07.2014

Quality by Design

Modified from Evernote

Free text + Apps

ELN + Laboratory Information Management System (LIMS)

Electronic Laboratory Notebooks (ELNs)

Research

Planning Execution

Analysis

ELN

Planning to Execution

Index . . . . 12.08.2014 . . . qPCR p21, GAPDH; Carcinomas . . .. ...

Apps App1 . . . . . . . . . . . . . . . . . qPCR 7600 Create Import files Analyze . . . . AppX

## qPCR p21, GAPDH; Carcinomas

Electronic Laboratory Notebook

Modified from Evernote

Planning to Execution

Settings.XML Results + info

Index . . . . 12.08.2014 . . . qPCR p21, GAPDH; Carcinomas . . .. ...

Apps App1 . . . . . . . . . . . . . . . . . qPCR 7600 Create Import files Analyze . . . . AppX

## qPCR p21, GAPDH; Carcinomas

Electronic Laboratory Notebook

Execution to Analysis

Results + info Settings.XML

## qPCR p21, GAPDH; Carcinomas

Planning, Execution, Analysis

Results + info Settings.XML

APPS

APPS

ELN

Execution to Analysis

Research

Planning Execution

Analysis

ELN

John

Anton Sylvia

Anna

Knowledge & Task Sharing

Research

Planning Execution

Analysis

John

Anton Sylvia

Anna

ELN

ELN

ELN

ELN

Information and Organization

Information Technology

(IT) platforms Old concept

New interface

All-in-one

Simple!

User generated

content

Apps

machine human

NLP ready!

Information and Organization

Information Technology

(IT) platforms Old concept

New interface

All-in-one

Simple!

User generated

content

Apps

machine human

1 Machine = 1 App

$$$

Training old

and

new personnel

$$$

Worldwide

deployment

Everybody can develop

and sell Apps

NLP ready!

Means and Ends

ü  Implement a I&O platform

ü  All sectors (Healthcare, Material Science…)

ü  R&D based industry (Knowledge, tracking, SOPs-dependent)

ü  All stages: from R&D to production

ü  All levels: from technical staff to administration

✗  Sell software

Get work done for free!

1.  Generate basis ELN + LIMS + Cloud solution package

2.  Distribute package and source code for free

3.  Keep control of official releases

ü  Worldwide implementation (no extra costs)

ü  Full control of roadmap

ü  Reduce training costs of future employees (long term)

ü  Free testing of new implementations

ü  Increased feedback

ü  Development of Apps and basic platform by third parties (Free + Commercial)

Find a partner!

Most popular!

Most popular!

Most popular!

Most popular!

Freeware + Commercial

Cloud, Storage, Communications

Databases, Big Data, Applications

Popular!

¿ ✔ ︎

Time (Year)

Com

putin

g P

ower

(R

elat

ive

Uni

ts)

Data science for machines

Time (Years)

Impa

ct fa

ctor

/ pa

per

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