Editor’s Choice: For everyone who thinks they are a practitioner of Citizen Science, this article is a must read as it drives home the need for clear data management practices with Citizen Science projects especially as we see the dramatic proliferation of CS projects. Will your data obtained from volunteers be maximally useful in potentially combining with other projects or over time? –LFF–

Abstract: Powered by advances of technology, today’s Citizen Science projects cover a wide range of thematic areas and are carried out from local to global levels. This wealth of activities creates an abundance of data, for example, in the forms of observations submitted by mobile phones; readings of low-cost sensors; or more general information about peoples’ activities. The management and possible sharing of this data has become a research topic in its own right. We conducted a survey in the summer of 2015 in order to collectively analyze the state of play in Citizen Science. This paper summarizes our main findings related to data access, standardization and data preservation. We provide examples of good practices in each of these areas and outline actions to address identified challenges.

Sketch of methodology. Source: Schade and Tsinaraki (2016a).

Source: Schade, S., et al., 2017. Scientific data from and for the citizen. First Monday Vol. 22 No. 8.