Making The Most

of Your Data

Dermot Lynott Embodied Cognition Lab

Lancaster University email: d.lynott@lancaster.ac.uk

web: http://www.lancaster.ac.uk/staff/lynottd/

• Collaborators

• Louise Connell

• Kerry O’Brien

• Katie Corker

• Funders

• Center for Open Science

• Association for Psychological Science

• ESRC

• Can be very difficult to wrangle after-the-fact

• Increasing requirements to share data

• Organising and sharing can have unforeseen benefits (consequences?)

Journey of a data set

Collecting modality-specific norms

• Abstract/Concrete distinction has a long history

• Existing measures had problems

• We had planned a bunch of studies and decided we needed more specific measures

• Measures estimating experience through different sensory modalities

Rating [0-5] ANGER Modality

3.71 auditory

0.12 gustatory

1.41 haptic

0.35 olfactory

4.12 visual

Published dataset as a journal article (2009)

Make larger dataset. Published as a journal article (2013)

Several articles demonstrate utility of datasets (2010-2013).

Use as basis for funding applications: Leverhulme;

ERC (2015)

Many others have now used/extended the

data set

-Used in dozens of other studies

- Translated into 5 languages

- Applied to robotics/machine learning

- Used to identify markers of depression and Alzheimer’s in writing

How to make your data travel further

• Store on a permanent repository (OSF, Zenodo)

• Make sure it has an appropriate, citable reference (doi, journal number etc)

• Use suitable licence (e.g., cc-by)

• Make available in multiple basic formats (csv, .txt)

• Include code books, how-tos, analysis scripts etc.

Other observed features of making data freely available

• Used in other studies, such as meta-analysis

• Used for simulations or test-bed

• Used to generate new materials/stimuli

• Used to give evidentiary support to examples

What does sharing our data do?

https://aoasg.org.au/resources/benefits-of-open-access/

The End (of the road?)