Automated Metadata Service: manage metadata from different sources.
Project description
ames
Automated Metadata Service
Manage metadata from different sources. The examples in the package are specific to Caltech repositories, but could be generalized. This package is currently in development and will have additional sources and matchers added over time.
Install:
If you just need functions (like codemeta_to_datacite): pip install ames
If you want to run operations, download the whole repo to get examples
Requirements:
Python 3.7 (Recommended via Anaconda)
You should have requests and datacite: pip install requests datacite
Harvesting requires Dataset.
CaltechDATA integration requires caltechdata_api
Organization
Harvesters
- crossref_refs - Harvest references in datacite metadata from crossref event data
- caltechdata - Harvest metadata from CaltechDATA
- cd_github - Harvest GitHub repos and codemeta files from CaltechDATA
- matomo - Harvest web statistics from matomo
Matchers
- caltechdata - Match content in CaltechDATA
- update_datacite - Match content in DataCite
Example Operations
The run scripts show examples of using ames to perform a specific update operation.
CodeMeta management
In the test directory these is an example of using the codemeta_to_datacite function to convert a codemeta file to DataCite standard metdata
CodeMeta Updating
Collect GitHub records in CaltechDATA, search for a codemeta.json file, and update CaltechDATA with new metadata.
Setup
You need to set an environmental variable with your token to access
CaltechDATA export TINDTOK=
Usage
Type python run_codemeta.py
.
CaltechDATA Citation Alerts
Harvest citation data from the Crossref Event Data API, records in CaltechDATA, match records, update metadata in CaltechDATA, and send email to user.
Setup
You need to set environmental variables with your token to access
CaltechDATA export TINDTOK=
and Mailgun export MAILTOK=
.
Usage
Type python run_event_data.py
. You'll be prompted for confirmation if any
new citations are found.
Media Updates
Update media records in DataCite that indicate the files associated with a DOI.
Setup
You need to set an environmental variable with your password for your DataCite
account using export DATACITE=
Usage
Type python run_media_update.py
.
CaltechDATA metadata updates
This will run checks on the quality of metadata in CaltechDATA. Currently this verifies whether redundent links are present in the related identifier section.
Setup
You need to set environmental variables with your token to access
CaltechDATA export TINDTOK=
Usage
Type python run_caltechdata_updates.py
.
Matomo downloads
This will harvest download information from matomo. Very experimental.
Setup
You need to set environmental variables with your token to access
CaltechDATA export MATTOK=
Usage
Type python run_downloads.py
.
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