ecoconsprereg
Designing, Evaluating and Testing Preregistration Templates for Ecology and Conservation
Science Score: 77.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
3 of 5 committers (60.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
Keywords
Repository
Designing, Evaluating and Testing Preregistration Templates for Ecology and Conservation
Basic Info
- Host: GitHub
- Owner: egouldo
- License: cc-by-4.0
- Language: HTML
- Default Branch: master
- Homepage: https://egouldo.github.io/EcoConsPreReg/
- Size: 24.7 MB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 9
- Releases: 6
Topics
Metadata Files
README.md
Adaptive Preregistration for Model-Based Research
About
This repository provides the source-code for a practical guide to implementing Adaptive Preregistration for Model-Based Research that accompanies the paper:
Gould, E., Jones, C.S., Yen, J.D.L., Fraser, H.F., Wootton, H., Vivian, L., Good, M., Duncan, D.H., Rumpff, L., Fidler, F.M., et al. (in prep., 2024) "But I can't preregister my research": Improving the reproducibility and transparency of ecological modelling with adaptive preregistration.
The guide provides background on researcher degrees of freedom and the risk of quesitonable research practices in model-based research, and argues for the role in preregistration for improving the replicability and transparency of ecological modelling. The main components of the guide include an overview of adaptive preregistration, a practical guide on implementing it using git and GitHub, as well as a template that can be used to preregister ecological modelling studies.
Both the template and Adaptive Preregistration methodology are currently being tested and refined using a case study of environmental flows modelling in Victoria, Australia led by Chris Jones and Jian Yen at the Arthur Rylah Institute for Environmental Research. You can find the repository for that code at https://anonymous.4open.science/r/VEFMAPVEGStage6-7B5F/.
Resources
The OSF repository for the Adaptive Preregistration project may be found at: https://osf.io/sq5j4/.
Owner
- Name: Elliot Gould
- Login: egouldo
- Kind: user
- Location: Australia
- Company: University of Melbourne
- Website: egouldo.github.io
- Twitter: Elliot_Gould_
- Repositories: 5
- Profile: https://github.com/egouldo
PhD student studying reproducibility and transparency of decisions in ecology and conservation. Data Science, Decision Analysis, Ecological Modelling. RepliCATS
Citation (CITATION.cff)
# -----------------------------------------------------------
# CITATION file created with {cffr} R package, v0.5.0
# See also: https://docs.ropensci.org/cffr/
# -----------------------------------------------------------
cff-version: 1.2.0
message: 'To cite "EcoConsPreReg" in publications use:'
type: software
license: CC-BY-4.0
title: 'EcoConsPreReg: A Guide to Adaptive Preregistration for Model-Based Research in Ecology and Conservation'
version: 1.0.1.9003
abstract: 'This repository contains the source code and data for the EcoConsPreReg project website at https://egouldo.github.io/EcoConsPreReg/. For more details, see the repo README.'
authors:
- family-names: Gould
given-names: Elliot
email: elliot.gould@unimelb.edu.au
orcid: https://orcid.org/0000-0002-6585-538X
- family-names: Jones
given-names: Christopher, S.
email: chris.jones@delwp.vic.gov.au
orcid: https://orcid.org/0000-0003-2833-0194
- family-names: Yen
given-names: J.D.L.
email: jian.yen@delwp.vic.gov.au
orcid: https://orcid.org/0000-0001-7964-923X
- family-names: Fraser
given-names: Hannah, S.
email: jhannahsfraser@gmail.com
orcid: https://orcid.org/0000-0003-2443-4463
- family-names: Wootton
given-names: Henry
email: henry.wootton@delwp.vic.gov.au
orcid: https://orcid.org/0000-0001-6506-0248
- family-names: Vivian
given-names: Lyndsey
email: lyndsey.vivian@delwp.vic.gov.au
orcid: https://orcid.org/0000-0003-1927-723X
- family-names: Good
given-names: Megan
email: goodm@unimelb.edu.au
orcid: https://orcid.org/0000-0002-6908-1633
- family-names: Duncan
given-names: David, H.
email: david.duncan@unimelb.edu.au
orcid: https://orcid.org/0000-0003-4411-8214
- family-names: Rumpff
given-names: Libby
email: lrumpff@unimelb.edu.au
orcid: https://orcid.org/0000-0001-9400-8086
- family-names: Fidler
given-names: Fiona
email: fidlerfm@unimelb.edu.au
orcid: https://orcid.org/0000-0002-2700-2562
contact:
- family-names: Elliot
given-names: Gould
email: elliot.gould@unimelb.edu.au
orcid: https://orcid.org/0000-0002-6585-538X
identifiers:
- type: doi
value: 10.5281/zenodo.10807200
repository-code: "https://github.com/egouldo/EcoConsPreReg"
date-released: 2024-03-27
keywords:
- preregistration,
- adaptive preregistration,
- ecology,
- conservation,
- model-based research
GitHub Events
Total
- Issues event: 9
- Issue comment event: 1
- Push event: 20
- Create event: 1
Last Year
- Issues event: 9
- Issue comment event: 1
- Push event: 20
- Create event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Elise Gould | e****d@u****u | 77 |
| Elliot Gould | e****d@u****u | 56 |
| Elise Gould | e****o | 45 |
| Hannah Fraser | h****r@u****u | 2 |
| MegKGood | 4****d | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 52
- Total pull requests: 6
- Average time to close issues: 3 months
- Average time to close pull requests: 3 days
- Total issue authors: 1
- Total pull request authors: 4
- Average comments per issue: 0.71
- Average comments per pull request: 0.5
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 1
- Average time to close issues: 4 minutes
- Average time to close pull requests: less than a minute
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- egouldo (54)
Pull Request Authors
- egouldo (4)
- LibbyR (1)
- hannahsfraser (1)
- MegKGood (1)