Data Collection
GRSIE methods application in the GILL project (https://gi-ll.eu)

Creators

1
Oihane Etayo
ae4510@coventry.ac.uk
Coventry University, UK
2
Andree Woodcock
adx974@coventry.ac.uk
Coventry University, UK

Copyright holders

1
Oihane Etayo
ae4510@coventry.ac.uk
Coventry University, UK
2
Andree Woodcock
adx974@coventry.ac.uk
Coventry University, UK

Contacts

1
Oihane Etayo
ae4510@coventry.ac.uk
Coventry University, UK
2
Andree Woodcock
adx974@coventry.ac.uk
Coventry University, UK

Contributors

No information

Data collection title

GRSIE methods application in the GILL project (https://gi-ll.eu)

Alternative title

Gender-Responsive Smart Innovation and Entrepreneurship

Data description (abstract)

This dataset compiles evidence from Action-Oriented Experimentations (AOEs) and their application of gender-responsive methods across varied contexts. Each entry documents the interation of a method used, its purpose, and the phase of the AOE cycle in which it was applied—Understand, Co-create, Implement, or Evaluate. The dataset includes qualitative reflections on the method's strengths, weaknesses, and user-generated recommendations for future application. It also features a structured numerical assessment of six performance dimensions: Effectiveness, Efficiency, Inclusiveness, Transferability, Usefulness, and Validity. Together, these elements offer a rich basis for comparative analysis and peer learning that supports the refinement and wider adoption of gender-responsive methods across different settings and sectors.

Potential uses / usefulness

Gender research.

Keywords

GRSIE methods
gendered innovation
Living Labs

Subjects

Science and technology
Society and culture

Temporal coverage

2024-09-01
2025-08-31
2024-09-01
2025-08-31
Europe and United Kingdom.
No information
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United Kingdom
Data set compiled from periodical reporting of AOEs' continuous application of GRSIE methods.
Other
Numeric
Textual
Original data from AOEs of the GILL project, (https://gi-ll.eu).
Cross-national survey data
Qualitative and mixed methods data
English

Related resources

No information

Notes on access

For re-using this dataset a written consent is required.

Piloting GILL Methods Database.zip 62.28 KB

Data
Dataset tabulated in an Excel file.
Creative Commons CCZero
3 downloads

Review Score

5.0 (1 review)

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