DataONEorg/metrics-service

Name: metrics-service

Owner: DataONE

Description: An efficient database and REST API for delivering aggregated data set metrics to clients.

Created: 2018-04-05 19:49:58.0

Updated: 2018-05-02 18:17:40.0

Pushed: 2018-05-24 19:23:12.0

Homepage: null

Size: 11410

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README

DataONE Metrics Service

An efficient database and REST API for delivering aggregated data set metrics to clients.

• Contributors: Rushiraj Nenuji (nenuji@nceas.ucsb.edu), Chris Jones (cjones@nceas.ucsb.edu), Lauren Walker (walker@nceas.ucsb.edu), Matthew B. Jones (jones@nceas.ucsb.edu), Dave Vieglais (vieglais@nceas.ucsb.edu)
• Version: 0.0.1 (In development, not yet released)
• Bug reports: http://github.com/DataONEorg/metrics-service/issues
• Task Board: https://waffle.io/DataONEorg/metrics-service
• Source code: http://github.com/DataONEorg/metrics-service
• Slack Discussion channel: #ci on http://slack.dataone.org

The DataONE Metrics Service represents a facility for storing, aggregating, and accessing metrics about the data held in the DataONE Federation of data repositories. The service consists of two main components:

• Database of aggregated metrics
• REST API for accessing the database

The database is currently implemented as a PostgresQL database and can be installed in any recent postgres system.

The REST API service provides web-accessible methods for querying and downloading metrics data in aggregated form.

Copyright and License

Copyright: 2018 Regents of the University of California

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Funding and Acknowledgements

This material is based upon work supported by the Alfred P. Sloan Foundation as part of the Make Data Count Project. https://makedatacount.org