A #DataCreativities How-To Guide for Collaborative Attribution
Dublin Core
Title
A #DataCreativities How-To Guide for Collaborative Attribution
Subject
Data Communications
Performing Arts and Creative Writing not elsewhere classified
Creative Arts, Media and Communication Curriculum and Pedagogy
Studies in the Creative Arts and Writing not elsewhere classified
Performing Arts and Creative Writing not elsewhere classified
Creative Arts, Media and Communication Curriculum and Pedagogy
Studies in the Creative Arts and Writing not elsewhere classified
Description
This document has three goals:
1. To clearly define how the #DataCreativities collaboration outputs should be cited by others,
2. To clearly state how the #DataCreativities collaboration will cite others,
3. To make explicit how the #DataCreativities collaboration approaches individual and collective attribution.
We believe that such a document is necessary as data and output citation (especially when those outputs are Non Traditional Research Outputs which are common in the #DataCreativities collaboration) can often be ambiguous. Additionally, we wish to clearly articulate our approach to attribution since collective attribution is less common than individual attribution in the academic context. This document serves as a record of the #DataCreativities approach, and may be used as a blue print for other collaborations engaged in similar work.
Please cite as:
A #DataCreativities How-To Guide for Collaborative Attribution. https://doi.org/10.26188/13325207
Visit the #DataCreativities Omeka site here: https://omeka.cloud.unimelb.edu.au/datacreative/about
1. To clearly define how the #DataCreativities collaboration outputs should be cited by others,
2. To clearly state how the #DataCreativities collaboration will cite others,
3. To make explicit how the #DataCreativities collaboration approaches individual and collective attribution.
We believe that such a document is necessary as data and output citation (especially when those outputs are Non Traditional Research Outputs which are common in the #DataCreativities collaboration) can often be ambiguous. Additionally, we wish to clearly articulate our approach to attribution since collective attribution is less common than individual attribution in the academic context. This document serves as a record of the #DataCreativities approach, and may be used as a blue print for other collaborations engaged in similar work.
Please cite as:
A #DataCreativities How-To Guide for Collaborative Attribution. https://doi.org/10.26188/13325207
Visit the #DataCreativities Omeka site here: https://omeka.cloud.unimelb.edu.au/datacreative/about
Creator
#DataCreativities
Publisher
Figshare
Date
2020-12-03
Contributor
Spreadborough, Kristal
Melzack, Gene
Fitzgerald, Emily
Melzack, Gene
Fitzgerald, Emily
Rights
CC BY-NC-ND 4.0
Format
.pdf
Language
English
Type
Educational Resource, text
Identifier
10.26188/13325207
Coverage
Melbourne: Australia
Resource Item Type Metadata
DOI
https://doi.org/10.26188/13325207
Collection
Citation
#DataCreativities, “A #DataCreativities How-To Guide for Collaborative Attribution,” Data Creativities , accessed May 12, 2024, https://omeka.cloud.unimelb.edu.au/datacreative/items/show/20.