Why recognising scientific software experts
is key to open science

 13 June 2019 - Lisbon Council Webinar           @sjh5000     ORCID: 0000-0002-6809-5195

By Simon Hettrick

How it used to be

In the beginning...

Vive la révolution!

Zeitgeists!

It's not just the zeitgeists...

Use

software

Fundamental to

results

Develop own code

69%

92%

56%

Percentage of cross-council funding in software-reliant research

Software in publications

65%

31 UK institutions ~ 600k papers

Software is vital to research

Who writes the software?

Online courses and books

Attended a course

No training

29%

46%

50%

25%

0%

25%

No career path for software developers

Stagnation

 

...or, at least, very slow progress under a strong headwind

Academics

Everyone else

in the entire

world

People who are

important in academia

The Venn of academic importance

People who develop software must be recognised

Research

Software

Engineering

Researcher

Software

Engineer

Researcher

developer

Research

Software

Engineer

1413

members

29 April 2018

UK RSE Association

RSE Conference

rse.ac.uk/conf/2019

Australia/New Zealand: @rse_aunz

Germany: @RSE_de

Netherlands: @nl_rse

Nordic:  @nordic_rse

UK: @ResearchSoftEng

USA: us-rse.org

RSE Groups at

20 organisations

bit.ly/RSEGroupsInUK

www.rse.ac.uk

"Nothing is as powerful as an idea whose time has come"

What does that mean for open science?

How can research be open if a key contribution is hidden?

How do you make software open?

  • Software is vital to research

  • Unrecognised software experts have existed in academia for decades

  • The role of the Research Software Engineer has become widely accepted

  • The needs for these skills is even greater in Open Science

Forget everything I just said

Thank you!

@sjh5000

ORCID: 0000-0002-6809-5195

Licence

 © Simon Hettrick

These slides are licensed under a Creative Commons Attribution 4.0 International 

https://creativecommons.org/licenses/by/4.0/

These slides: http://bit.ly/OSMJun19

Studies and links

 

Picture credits

Where not stated on image:

 

Big data - Tumisu

Blockchain - mmi19

Cloud computing - Pete Linforth

Cybersecurity - Darwin Laganzon

DNA - Gerd Altman

IBM PC - Ruben de Rijcke

IOT - jeferrb

Machine Learning - Gordon Johnson

Pills in hand - Tom Bullock