community-mapping
processes and resources to understake communnity (stakeholder) mapping
Science Score: 67.0%
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✓CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (11.3%) to scientific vocabulary
Repository
processes and resources to understake communnity (stakeholder) mapping
Basic Info
- Host: GitHub
- Owner: rcmcooperative
- License: other
- Language: Python
- Default Branch: main
- Size: 6.68 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
*** All material in this repository is shared as a work in progress. Some material may be missing, under review, or no longer in scope. Please contact cassandra.gouldvanpraag@rcmcooperative.com if you have questions about reuse or contribution. ***
Community mapping docs
Note: We are moving away from use of the term "stakeholder" due to its colonial origin. That term still appears in these documents, but will be replaced with alternative language when possible.
README
These materials were developed alongside the Alan Turing Instute Environment and Sustianabilty Grand Challenge Stakeholer Map. This map may no longer be updated or maintained.
This is a dump of very untidy materials! It will likely be improved the next time this exercise is undertaken or in the development of a mapping tool.
Suggested order of use: 1. Why we map 2. How we map 3. Data flow overview - this shows how data is integrated over different sources. Ticks show the bits which are operational! (There is still lots of work to do!) 4. Sharepoint list settings 5. Code to convert sharepoint downloads to xlsx kumu structure 6. Kumu display settings - internal - this is a dump of the kumu syntax for display settings used in the Turing E&S internal map 7. Kumu display settings - public - this is a dump of the kumu syntax for display settings used in the Turing E&S public map 8. Image used for the Kumu presentation front cover 9. Kumu presentation slide text
These files aren't used, but are kept for future reference! 1. Conda environment for running the python - I just used the TTW one in the end :) 2. Code to convert sharepoint downloads to json kumu structure - played with this when i was struggling to upload the xlsx to kumu. Turns out it didn't like the ID variable which sharepoint creates (kumu creates its own) and it was causing a clash. This was resolved by deleting the sharepoint ID. This bug was fixed after chatting to folks on kumu slack and some exchanges with the developers :). 3. pptx I used to develop the kumu cover images 4. Code to compare the list of slack users downloded to those I'd added with a "slack" interaction - This was used when I was making sure I'd added everyone with slack interaction
CITATION
Gould van Praag, C. (2025). RCM Cooperative Community Mapping Workflow. Zenodo. https://doi.org/10.5281/zenodo.15320348
LICENSE
- Code is released on an MIT license.
- Documentation is released on a CC-BY-4.0 license
Owner
- Name: rcmcooperative
- Login: rcmcooperative
- Kind: organization
- Repositories: 1
- Profile: https://github.com/rcmcooperative
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
RCM Cooperative Community Mapping Workflow
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Cassandra
family-names: Gould van Praag
email: cassandra.gouldvanpraag@rcmcooperative.com
affiliation: RCM Cooperative
orcid: 'https://orcid.org/0000-0002-8584-4637'
- {}
identifiers:
- type: doi
value: 10.5281/zenodo.15320348
repository-code: >-
https://github.com/rcmcooperative/community-mapping
abstract: >-
This repository contains open materials developed by Cassandra Gould van Praag intially for the Alan Turing Institute Turing Research and Innovation Cluster for Digital Twins (TRIC-DT). Materials were subsequently extended for the Environment and Sustainability Grand Challenge, and the data structure marginally extended all the Data Safe Haven (DSH) project.
These materials will be further developed by the author for activites undertaken by the RCM Cooperative.
license: CC-BY-4.0
version: v1.0.0
date-released: '2025-05-01'
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