gridscore-next-client
GridScore is a phenotyping application that can be used to score trait data for plants or more generically any data about a subject for certain variables.
Science Score: 57.0%
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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 2 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.8%) to scientific vocabulary
Keywords
Repository
GridScore is a phenotyping application that can be used to score trait data for plants or more generically any data about a subject for certain variables.
Basic Info
- Host: GitHub
- Owner: cropgeeks
- License: apache-2.0
- Language: Vue
- Default Branch: main
- Homepage: https://gridscore.hutton.ac.uk
- Size: 33.8 MB
Statistics
- Stars: 1
- Watchers: 4
- Forks: 1
- Open Issues: 1
- Releases: 20
Topics
Metadata Files
README.md
GridScore NEXT
GridScore NEXT is a field trial phenotyping app for trait data. It lets you keep track of what’s happening in the field on a plot-level basis. This could be anything from plant emergence, flowering date, plant height, flower colour, etc. You can define the layout of your field trial and the traits you want to score. GridScore then presents your data in a grid-like format representing your field layout. Data is recorded by clicking on a specific plot in a field and then entering your data.
GridScore offers a huge set of functionalities including:
- A wide range of trait data types including, integer, floating point, date, categorical and text.
- Data validation based on trait data type, ranges and valid values.
- Data visualizations including timeline charts, heatmaps and boxplots.
- Geo-referencing based on GPS position and field layout geometry.
- Guided walks that lead you through the trial in pre-defined orders.
- Barcode support for plot identification and data input.
- Data import and export in a variety of formats.
- BrAPI support for trait import and data export.
- Cross-platform support due to Progressive Web App technologies.
- Runs on pretty much any reasonably modern device.
- Offline support, so no internet connection is required when collecting and visualizing data.
- Distributed data collection achieved by trial sharing using QR codes and transactional data synchronization.
GridScore NEXT website
GridScore NEXT is available at https://gridscore.hutton.ac.uk
GridScore NEXT documentation
Documentation about the use of GridScore NEXT is available at https://cropgeeks.github.io/gridscore-next-client
About
GridScore is developed and maintained by the James Hutton Institute and International Barley Hub
Owner
- Name: cropgeeks
- Login: cropgeeks
- Kind: organization
- Repositories: 9
- Profile: https://github.com/cropgeeks
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: >-
GridScore: a tool for accurate, cross-platform
phenotypic data collection and visualization
message: >-
If you use this software in your work, please
cite it using the following metadata.
type: software
doi: 10.1186/s12859-022-04755-2
url: 'https://github.com/cropgeeks/gridscore'
date-released: 2022-06-06
authors:
- given-names: Sebastian
family-names: Raubach
affiliation: >-
Department of Information and Computational
Sciences, The James Hutton Institute,
Invergowrie, Dundee, Scotland
orcid: 'https://orcid.org/0000-0001-5659-247X'
- given-names: Miriam
family-names: Schreiber
affiliation: >-
Department of Life Science, University of
Dundee, Dundee, Scotland
orcid: 'https://orcid.org/0000-0002-3732-8822'
- given-names: Paul D
family-names: Shaw
affiliation: >-
Department of Information and Computational
Sciences, The James Hutton Institute,
Invergowrie, Dundee, Scotland
orcid: 'https://orcid.org/0000-0002-0202-1150'
GitHub Events
Total
- Create event: 5
- Issues event: 8
- Release event: 5
- Watch event: 2
- Delete event: 1
- Issue comment event: 6
- Push event: 53
Last Year
- Create event: 5
- Issues event: 8
- Release event: 5
- Watch event: 2
- Delete event: 1
- Issue comment event: 6
- Push event: 53