Data sharing concepts: a viable system model diagnosis

Igor Perko (Author)

Abstract

Purpose Artificial intelligence (AI) reasoning is fuelled by high-quality, detailed behavioural data. These can usually be obtained by the biometrical sensors embedded in smart devices. The currently used data collecting approach, where data ownership and property rights are taken by the data scientists, designers of a device or a related application, delivers multiple ethical, sociological and governance concerns. In this paper, the author is opening a systemic examination of a data sharing concept in which data producers execute their data property rights. Design/methodology/approach Since data sharing concept delivers a substantially different alternative, it needs to be thoroughly examined from multiple perspectives, among them: the ethical, social and feasibility. At this stage, theoretical examination modes in the form of literature analysis and mental model development are being performed. Findings Data sharing concepts, framework, mechanisms and swift viability are examined. The author determined that data sharing could lead to virtuous data science by augmenting data producers' capacity to govern their data and regulators' capacity to interact in the process. Truly interdisciplinary research is proposed to follow up on this research. Research limitations/implications Since the research proposal is theoretical, the proposal may not provide direct applicative value but is largely focussed on fuelling the research directions. Practical implications For the researchers, data sharing concepts will provide an alternative approach and help resolve multiple ethical considerations related to the internet of things (IoT) data collecting approach. For the practitioners in data science, it will provide numerous new challenges, such as distributed data storing, distributed data analysis and intelligent data sharing protocols. Social implications Data sharing may post significant implications in research and development. Since ethical, legislative moral and trust-related issues are managed in the negotiation process, data can be shared freely, which in a practical sense expands the data pool for virtuous research in social sciences. Originality/value The paper opens new research directions of data sharing concepts and space for a new field of research.

Keywords

hybrid reality;data sharing;systems thinking;cybernetics;artificial intelligence;

Data

Language:	English
Year of publishing:	2023
Typology:	1.01 - Original Scientific Article
Organization:	UM EPF - Faculty of Economics and Business
Publisher:	MCB university press
UDC:	004.8
COBISS:	129746947
ISSN:	0368-492X
Views:	20
Downloads:	0
Average score:	0 (0 votes)
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Other data

Secondary language:	Slovenian
Secondary keywords:	hibridna resničnost;izmenjava podatkov;sistemsko razmišljanje;kibernetika;umetna inteligenca;
Type (COBISS):	Scientific work
Pages:	str. 2976-2991
Volume:	ǂVol. ǂ52
Issue:	ǂno. ǂ9
Chronology:	2023
DOI:	10.1108/K-04-2022-0575
ID:	22910826