ames 0.1.0

Automated Metadata Service: manage metadata from different sources.

ames

Automated Metadata Service

This package will update the metadata in our repositories from external sources. This package is currently in development and will have additional sources and matchers added over time.

Requires:

Python 3 (Recommended via Anaconda) with requests library and Dataset.

CaltechDATA integration requires caltechdata_api

Harvesters

• datacite_refs - Harvest references in datacite metadata from crossref event data
• crossref_refs - Harvest references in datacite metadata from crossref event data
• cd_github - Harvest GitHub repos from CaltechDATA

Matchers

• caltechdata - Match content in CaltechDATA

CodeMeta Updating

Setup

You need to set an environmental variable with your token to access CaltechDATA export TINDTOK=

Usage

Type python run_codemeta.py. This will harvest all the repos present in CaltechDATA, search them for codemeta.json files, and update the metadata in CaltechDATA. There are more fields that could be mapped in the future.

CaltechDATA Citation Alerts

Setup

You need to set environmental variables with your token to access CaltechDATA export TINDTOK= and Mailgun export MAILTOK=. Access to data on S3 is currently restricted to Caltech Library staff and your S3 configuration needs to be set up following the instructions in Dataset.

Usage

Type python run_event_data.py. You will automatically generate citation alerts for all DOIs in the CaltechDATA repository.
This script collects citation data from the Crossref Event Data API, matches DOIs with those in CaltechDATA, updates the metadata in CaltechDATA, and sends an email alert to the contact person for the data record. You'll be prompted if any citations are found.