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Producing Generative Digital Data Objects: An Empirical Study on COVID-19 Data Flows in Online Communities

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Title:Producing Generative Digital Data Objects: An Empirical Study on COVID-19 Data Flows in Online Communities
Authors:Blotenberg, Caroline
Kari, Arthur
Kral, Björn
Nuernberger, Philipp
Rothe, Hannes
Keywords:Managing the Dynamics of Platforms and Ecosystems
bio data ecosystems
generativity
open data innovation
sars-cov-2 nucleotide sequences
show 1 morescientific online communities
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Date Issued:04 Jan 2022
Abstract:Digital data objects on viruses have played a pivotal role in the fight against COVID-19, leading to healthcare innovation such as new diagnostics, vaccines, and societal intervention strategies. To effectively achieve this, scientists access viral data from online communities (OCs). The social-interactionist view on generativity, however, has put little emphasis on data. We argue that generativity on data depends on the number of data instances, data timeliness, and completeness of data classes. We integrated and analyzed eight OCs containing SARS-CoV-2 nucleotide sequences to explore how community structures influence generativity, revealing considerable differences between OCs. By assessing provided data classes from user perspectives, we found that generativity was limited in two important ways: When required data classes were either insufficiently collected or not made available by OC providers. Our findings highlight that OC providers control generativity of data objects and provide guidance for scientists selecting OCs for their research.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/80154
ISBN:978-0-9981331-5-7
DOI:10.24251/HICSS.2022.814
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Managing the Dynamics of Platforms and Ecosystems


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