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Hengl T, Wheeler I, MacMillan RA.2018. A brief introduction to Open Data, Open Source Software and Collective Intelligence for environmental data creators and users. PeerJ Preprints6:e27127v1https://doi.org/10.7287/peerj.preprints.27127v1
Using the term "Open data" has become a bit of a fashion, but using it without clear specifications is misleading i.e. it can be considered just an empty phrase. Probably even worse is the term "Open Science" — can science be NOT open at all? Are we reinventing something that should be obvious from start? This guide tries to clarify some key aspects of Open Data, Open Source Software and Crowdsourcing using examples of projects and business. It aims at helping you understand and appreciate complexity of Open Data, Open Source software and Open Access publications. It was specifically written for producers and users of environmental data, however, the guide will likely be useful to any data producers and user.
This document is part of the OpenGeoHub.org collection series on Open Data.