TRANSFORMING SYSTEMATIC REVIEWS INTOLIVING ‘UP-TO-DATE’ ARTICLES

International Symposium on Systematic Review and Meta-Analysis13 November 2014

Rebecca LawrenceManaging Director, F1000 Research Ltd

rebecca.lawrence@f1000.comhttp://f1000research.com

@f1000research | @rnl_s

RESEARCH IS AN ONGOING ACTIVITY

This is not mirrored in publication:

• Articles still static objects

• Often figure number restrictions

• Figures are static

• Data often not included or relegated to supplementary files

• Large delays between when research is done and when others get to benefit from it

@rnl_s | @f1000research

WHAT IS F1000RESEARCH?

• Immediate publication

• Transparent refereeing

• No editorial bias

• Data included

• Indexed in PubMed

• Articles can be ‘living’

@rnl_s | @f1000research

ADVISORY BOARD

Support from a large (~1500+) and very senior Advisory Board:

Peter Barnes John Ioannidis

Edward Benz Edvard Moser

Phil Bourne Elliot Meyerowitz

George Canellos George Sachs

Moses Chao Alan Schechter

Tao Cheng Randy Schekman

Jonathan Eisen Janet Thornton

Carole Goble Jan Vermorken

Sir Tim Hunt Paul Volberding

Steven Hyman Sally Wenzel

@rnl_s | @f1000research

REFEREE SCORES

Approved

Approved with reservations

Not approved

Articles with sufficient positive reviews are indexed in PubMed, Scopus, Embase and others.

Articles that haven’t yet reached this threshold can always be revised and re-reviewed.

or

Minimal requirements for indexing

VERSIONSDifferent versions of the

article are tracked

REFEREE REPORTS ARE PUBLIC

Referee reports and author comments are

visible to anyone.

. . .

Referee names are visible

Referee reports are citable with a DOI.

View count shows how many people read the

referee report

@rnl_s | @f1000research

DETAILED PROTOCOLS FOR REPRODUCIBILITY

Articles checked for adherence to ARRIVE guidelines

Authors encouraged to link to specific reagents used, as part of the Resource Identification Initiative (http://scicrunch.com/resources)

Links to protocol registration/publication encouraged

Code used to analyse the results is requested and archived through Github and Zenodo

@rnl_s | @f1000research

FULL DATA INTEGRATION WITH RESEARCH ARTICLES

Datasets within article

are citable and

downloadable

@rnl_s | @f1000research

IN-ARTICLE DATA MANIPULATION

@rnl_s | @f1000research

FIGURES THAT DON’T EXIST

Simply data + code

Creates opportunities to

change the definition of

a figure, and ultimately the journal article

Colomb J and Brembs B.

Sub-strains of Drosophila

Canton-S differ markedly in their

locomotor behavior [v1; ref

status: indexed,

http://f1000r.es/3is]

F1000Research 2014, 3:176

@rnl_s | @f1000research

LIVING ARTICLES

F1000Research articles can always be updated, even after being

indexed.

• Each version is independently citable yet linked

• All versions indexed in PubMed, PubMed Central, etc (if pass review)

• ‘Track’ option to keep informed of new updates

• Saves wasted time/effort writing a fresh systematic review each time

• Ensures review remains up-to-date and better reflects pace of research

Authors amended their article in response to referee or

community feedback

Authors updated the article following minor developments

LIVING FIGURES

Colomb J and Brembs B.

Sub-strains of Drosophila Canton-S

differ markedly in their locomotor

behavior [v1; ref status: indexed,

http://f1000r.es/3is]

F1000Research 2014, 3:176

Other labs can replicate

the study, or contribute

their data to a meta-

analysis or disease model

- figure automatically updates.

Data updates time-

stamped.

New conclusions added

via versions.

@rnl_s | @f1000research

LIVING SYSTEMATIC REVIEWS

Living figure; e.g.

summary figure,

disease model

Systematic review (can

pub protocol 1st);

Intro, figures & concl’s

updated periodically

New data

New data

New data

New data New data

New data

@rnl_s | @f1000research

SUMMARY

• The tools and technologies are there to bring scientific articles properly into the digital age

• Systematic reviews, being conducted regularly and combining data from numerous sources, can significantly benefit from moving away from being static objects

• Versioned articles, in-article data manipulation and living figures are already a reality

• We would love to work with this community to generate the first real ‘living’ systematic reviews.

@rnl_s | @f1000research

Thank you!

rebecca.lawrence@f1000.com

@f1000research | @rnl_s