TY - GEN
T1 - Revealing the role of values in developing a garden data ecosystem through a reflective participatory design approach
AU - Cazacu, Silvia
AU - Mulder, Ingrid
AU - Vande Moere, Andrew
AU - Steenberghen, Thérèse
PY - 2023
Y1 - 2023
N2 - Data-driven domains such as public administration, health or mobility have adopted a so-called 'data ecosystem' perspective to unify the socio-technical aspects fostering data-driven collaboration. While a data ecosystem is technically able to collect and merge their different datasets, it is yet relatively unable to facilitate meaningful forms of collaboration between actors. Based on previous research on value creation in data ecosystems, we hypothesize that this inability is mainly due to ecosystems not reflecting actor values, i.e. aspects which are important and imply a desirable behavior, often related to goals, objectives, motivations and decision making. This paper therefore proposes a reflective approach to reveal the values in data-driven collaboration by answering the following research questions: What role do values play in the process of developing a data ecosystem? And how can value-led participatory design support data-driven collaboration? We attempt to answer these questions through an exploratory study based on 5 interviews with consortium members of a garden data ecosystem currently in development around a citizen science initiative in Flanders, Belgium. We discovered that the explicit use of values and frictions has the potential to augment the collaboration between actors. This approach can thus be useful to future practitioners who aim to expand the societal impact of their work.
AB - Data-driven domains such as public administration, health or mobility have adopted a so-called 'data ecosystem' perspective to unify the socio-technical aspects fostering data-driven collaboration. While a data ecosystem is technically able to collect and merge their different datasets, it is yet relatively unable to facilitate meaningful forms of collaboration between actors. Based on previous research on value creation in data ecosystems, we hypothesize that this inability is mainly due to ecosystems not reflecting actor values, i.e. aspects which are important and imply a desirable behavior, often related to goals, objectives, motivations and decision making. This paper therefore proposes a reflective approach to reveal the values in data-driven collaboration by answering the following research questions: What role do values play in the process of developing a data ecosystem? And how can value-led participatory design support data-driven collaboration? We attempt to answer these questions through an exploratory study based on 5 interviews with consortium members of a garden data ecosystem currently in development around a citizen science initiative in Flanders, Belgium. We discovered that the explicit use of values and frictions has the potential to augment the collaboration between actors. This approach can thus be useful to future practitioners who aim to expand the societal impact of their work.
KW - Citizen science
KW - data ecosystem
KW - data platform
KW - data-driven collaboration
KW - reflective participatory design
KW - values
UR - http://www.scopus.com/inward/record.url?scp=85161470565&partnerID=8YFLogxK
U2 - 10.1145/3593743.3593777
DO - 10.1145/3593743.3593777
M3 - Conference contribution
AN - SCOPUS:85161470565
T3 - ACM International Conference Proceeding Series
SP - 156
EP - 162
BT - Proceedings of the 11th International Conference on Communities and Technologies - Humanization of Digital Technologies 2023, C and T 2023
PB - Association for Computing Machinery (ACM)
T2 - 11th International Conference on Communities and Technologies: Humanization of Digital Technologies, C and T 2023
Y2 - 29 May 2023 through 2 June 2023
ER -