STM Tech Trends: Outlook 2020

8 downloads 271 Views 666KB Size Report
Apr 11, 2016 - Statistic checking. Text and Data mining. How efficient is text? Rethink use of document. Integrating dig
Who wants the Narrative

DYNAMIC PUBLISHING

Relationship with researchers

Creating solutions Not search results

Decisions based on analytics

Peer review automation

Reference tracking Statistic checking Text and Data mining

Look up everything

io n

User tracking = new products and services

nI o i s d Pu i blishing delivers Prec

Behavioural Precision analytics Information Automated literature navigation

ine h c a The M

Different skill sets

Who wants the full document?

BRAIN

Data moving from lab to lab

Text analytics

INDUSTRIALFast translation ISATION OF of results RESEARCH Using big data Data analytics by the crowd

D

ata

Scaling up

er Read

New e h is t

Outsource your brain Ask right questions and memory Get solutions, Convergence not search online Look up on the fly THE results and PERIPHERAL offline Any device will do

Rethink use of Wikipedia document

Taxonomy resources

Outside academia

INFORMATION STRUCTURE AND CONTEXTUALISATION Linked Open Data

The customised solution

U

as a

Robot labs

SMALL SHOP LABS

4

rust PR T f IVA bo Priv AND CY acy requires a We SEC URI

TY

Computing costs up or down?

Garage shops

l Mach

ine

Knowledge graphs

NEED

User privacy

Cloud computing

Webscale computing

3

Machine learning, machine reading Artificial Intelligence

Who wants the full document?

Life Logging

Business/ leisure/ research?

Inertia New business models

Virtual reality

LIFELONG LEARNING

Needs easier paywalls

OPEN SCIENCE

Augmented reality+

Collaboration tools

Social learning Social networks

Metrics

Linking Data and Pubs Collaboration Interoperable

Retrievable

Findable

RESEARCH DATA

Reproducibility

H

Open Data

Push walls

Accessible

Individualised services allowed? Theft and Unauthorised privacy PDFs Content locks

PROBLEMS

VoR

Internet locked and blocked

Right to be forgotten

Big user data

Internet of Data

Statistics on steroids

CAVEATS

Reputation management

Safe harbour

BOOST IN ARTIFICIAL INTELLIGENCE

TDM

Not the same as asking an expert

Social reading

Sharing Research Data

RESEARC

Users securing Balance their Certification Privacy own and Value metadata

STM = B2C publishing?

Chaos and diversity

SCN’s Researcher creating new journals Doctor Become Patient publishers?

Researcher Consumer Patient

Innovation in Society

EVERYONE IS A CUSTOMER

Signal vs noise

NEW RELATIONS VIA SOCIAL NETWORKS

Citizen Science

Link people

COMPUTER POWER ON STEROIDS

Socia

Citizen Science

generated Research Hypothesis Experiments

A challenge An opportunity in integration

Code protocols ORCIDS needed XML linked data

S

Open Science Platforms

AUTOMATED KNOWLEDGE Machine CREATION

Identity, reputation

Warranting reproducibility

All digital artefacts

R SE

Science

Start ups

Integrating multimedia

ASK WATSON!

Atomisation of information

Citizen science

No more Easier innovation? capacity limits

The narrative

2

Performance Evaluation

Pooling of Data

Integrating digital artefacts

Research Data

Relationship maps

Facts and data vs metaanalysis

G

n ce

te re

User focus

1

Publications at different places Open science satellite

SHIN

User

Big data analytics

at rm o f n

How efficient is text?

Unstructured Data

Big Data m eets Art ific

Text

Outputs born digital

Protocols

MORE OUTPUTS - ALL DIGITAL

Non-text

Code

Increased output variety Research Data

ial Intelligence

Knowledge graphs

Orcids

TEC

5

GY

Reducing friction

L

O

THE TECHNOLOGY FLOODGATES ARE OPEN

PUBL I

STM Tech Trends: Outlook 2020

HNO

Kindly sponsored by