PIsCO: A Performance indicators framework for collection of bioinformatics resource metrics
1
Earlham Institute, Norwich, Norfolk, United Kingdom
2
ELIXIR-Hub, Wellcome Genome Campus, Cambridge, United Kingdom
3
Repositive, Cambridge, United Kingdom
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computer Architecture, Software Engineering
- Keywords
- metrics, sharing, automatic collection, registries, key perfomance indicators
- Copyright
- © 2017 Artaza et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. PIsCO: A Performance indicators framework for collection of bioinformatics resource metrics. PeerJ Preprints 5:e3112v1 https://doi.org/10.7287/peerj.preprints.3112v1
Abstract
We present PIsCO, a server-side JavaScript framework for the collection, registration and sharing of metrics that can be used to evaluate the impact of bioinformatics-related resources such as software, repositories, training or databases. The metrics framework can be used to capture standard definitions of metrics, facilitate the collection of data, monitor resources and share data to be reused by other teams, laboratories or academic institutions. In addition, PIsCO is able to collect those metrics and present them in a visual way to allow their easy interpretation.
Author Comment
This is a submission to PeerJ Computer Science for review.