TY - GEN
T1 - Exploring Data Altruism as Data Donation
T2 - 16th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2024
AU - Ansah, Dwayne
AU - Susha, Iryna
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2024.
PY - 2024/8/25
Y1 - 2024/8/25
N2 - This paper reviews data altruism in the emerging academic literature by collecting and analyzing conceptually similar terms, identifying key actors, and delineating the objectives of general interest underlying this novel form of voluntary data sharing. Drawing from a wide array of disciplines including computer science, social science, law, and medicine and bioethics, we discover frequent comparisons with the notions of data donation, data crowdsourcing, data philanthropy, and data solidarity. In our observations of current definitions and understandings of data altruism and these related terms, we draw attention to analyzing their salient similarities and differences. Our analysis of actors and roles illustrates a wide variety of players envisioned to participate in data altruism. Our examination of different types of data discussed in the literature suggests the data altruism value chain proposition is largely promissory, with limited empirical evidence supporting specified objectives of general interest. This review contributes to a refined understanding of data altruism as a formal ‘data donation’ institutionalization process in the European digital space and highlights its implications for future research.
AB - This paper reviews data altruism in the emerging academic literature by collecting and analyzing conceptually similar terms, identifying key actors, and delineating the objectives of general interest underlying this novel form of voluntary data sharing. Drawing from a wide array of disciplines including computer science, social science, law, and medicine and bioethics, we discover frequent comparisons with the notions of data donation, data crowdsourcing, data philanthropy, and data solidarity. In our observations of current definitions and understandings of data altruism and these related terms, we draw attention to analyzing their salient similarities and differences. Our analysis of actors and roles illustrates a wide variety of players envisioned to participate in data altruism. Our examination of different types of data discussed in the literature suggests the data altruism value chain proposition is largely promissory, with limited empirical evidence supporting specified objectives of general interest. This review contributes to a refined understanding of data altruism as a formal ‘data donation’ institutionalization process in the European digital space and highlights its implications for future research.
KW - data altruism
KW - data donation
KW - data for good
KW - data sharing
KW - EU strategy for data
UR - http://www.scopus.com/inward/record.url?scp=85202596438&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-70804-6_12
DO - 10.1007/978-3-031-70804-6_12
M3 - Conference contribution
AN - SCOPUS:85202596438
SN - 978-3-031-70803-9
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 179
EP - 193
BT - Electronic Participation - 16th IFIP WG 8.5 International Conference, ePart 2024, Proceedings
A2 - Johannessen, Marius Rohde
A2 - Csáki, Csaba
A2 - Danneels, Lieselot
A2 - Hofmann, Sara
A2 - Lampoltshammer, Thomas
A2 - Parycek, Peter
A2 - Schwabe, Gerhard
A2 - Tambouris, Efthimios
A2 - Ubacht, Jolien
PB - Springer
Y2 - 3 September 2024 through 5 September 2024
ER -