|Appears in Collections:||Communications, Media and Culture Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Co-observing the weather, co-predicting the climate: Human factors in building infrastructures for crowdsourced data|
Big data infrastructure
|Citation:||Lin Y, Bates J & Goodale P (2016) Co-observing the weather, co-predicting the climate: Human factors in building infrastructures for crowdsourced data, Science and Technology Studies, 29 (3), pp. 10-27.|
|Abstract:||This paper investigates the embodied performance of 'doing citizen science'. It examines how 'citizen scientists' produce scientifi c data using the resources available to them, and how their socio-Technical practices and emotions impact the construction of a crowdsourced data infrastructure. We found that conducting citizen science is highly emotional and experiential, but these individual experiences and feelings tend to get lost or become invisible when user-contributed data are aggregated and integrated into a big data infrastructure. While new meanings can be extracted from big data sets, the loss of individual emotional and practical elements denotes the loss of data provenance and the marginalisation of individual eff orts, motivations, and local politics, which might lead to disengaged participants, and unsustainable communities of citizen scientists. The challenges of constructing a data infrastructure for crowdsourced data therefore lie in the management of both technical and social issues which are local as well as global.|
|Rights:||© 2016 Suomen tieteen- ja teknologiantutkimuksen seura ry. Published in Science & Technology Studies, 2016, 29(3). Available at https://sciencetechnologystudies.journal.fi/article/view/59199|
|59199-1-61611-1-10-20160914.pdf||235.33 kB||Adobe PDF||View/Open|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.