Short Paper Postprints

Reproducible Research @ AGILE

This website is home of workshops and an AGILE INITIATIVE on the topic of Reproducible Research in connection with the Association of Geographic Information Laboratories in Europe’s (AGILE) annual conference series.

Guidelines

Reproducible Publications at AGILE Conferences – Guidelines for Authors and Reviewers 🇺🇸🇬🇧🇳🇿🇦🇺

Reproducible Publications at AGILE Conferences – Spanish translation 🇪🇸🇲🇽🇦🇷🇨🇴🇪🇨🇧🇴🇨🇷🇨🇺🇩🇴🇸🇻🇬🇶🇬🇹🇭🇳🇳🇮🇵🇦🇵🇾🇵🇪🇵🇷🇺🇾🇻🇪

Master project with all documentation about the initiative and creation of the guidelines: https://osf.io/phmce/

About

Reproducibility and replicability of research gains more attention each year across many domains, some of which even struggle with a “reproducibility crisis”. However, at AGILE conferences, the topic is underrepresented. Recent research found that none of the last years nominees for best papers (both short & full papers) provided sufficient information (i.e. instructions, data, and code) to be reproduced independently by a third party.

Learn more about the state of reproducibility at AGILE and what can be done about it in the peer-reviewed article “Reproducible research and GIScience: an evaluation using AGILE conference papers” at https://doi.org/10.7717/peerj.5072. Read more about past, ongoing, and future activities & strategy in the preprint “Reproducible Research is like riding a bike” at https://doi.org/10.7287/peerj.preprints.27216v1 presented at the 5th Open Source Geospatial Research and Education Symposium (OGRS 2018).

The workshops are organised by a group of Open Science and Reproducible Research enthusiasts. They introduce interested scientists and developers to the concepts of reproducible research, raise awareness of challenges around computational reproducibility in science within the AGILE community, and give hands-on guidance on how to increase the degree of reproducibility for the participant’s own work.

Team

Are you interested in improving reproducibility of research? Join the team!

Active team members

Former team members

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