Real-time data sharing frameworks – current state and research agenda

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dc.contributor.authorSakhno, Anatoliy
dc.contributor.authorGewald, Heiko
dc.contributor.authorGupta, Ashish
dc.contributor.authorJärveläinen, Jonna
dc.contributor.authorMorgan, Lorraine
dc.contributor.authorMcCarthy, Stephen
dc.date.accessioned2026-10-06T10:20:02Z
dc.date.available2026-10-06T10:20:02Z
dc.date.issued2026-09-01
dc.description.abstractReal-time data sharing frameworks (RTDSFs) are emerging as vital digital infrastructures enabling low-latency, cross-organisational data flows in critical industries like finance, healthcare, or energy. Yet the governance, trust, and security challenges specific to real-time, automated, and multi-stakeholder contexts remain undertheorized in the Information Systems literature. This panel report synthesises discussion from an expert panel held at ECIS 2025 in Amman, Jordan, to develop a structured research agenda for the IS community. Through interpretive analysis of the panel transcript and contextual polling with eighteen participants, four interconnected pillars are proposed as productive sites of inquiry for RTDSFs — trust when action outruns validation, governance when oversight follows execution, federated intelligence as a redistribution of control under real-time conditions, and security collaboration under cascade risk and unequal preparedness. Polling results, offered here as indicative rather than confirmatory, suggested participant alignment on the primacy of enforceable governance and the need for regulatory engagement. The resulting research agenda identifies open questions, methodological pathways, and cross-pillar tensions specific to real-time, automated, and cross-organisational data sharing — positioning RTDSFs as a productive and underserved domain for IS inquiry.en
dc.description.versionPublished Version
dc.format.extent29
dc.format.mimetypeapplication/pdfen
dc.identifier.authororcidSakhno, Anatoliy
dc.identifier.authororcidGewald, Heiko
dc.identifier.authororcidGupta, Ashish
dc.identifier.authororcidJärveläinen, Jonna
dc.identifier.authororcidMorgan, Lorraine
dc.identifier.authororcidMcCarthy, Stephen§0000-0002-5761-7162
dc.identifier.citationSakhno, A,, Gewald, H., Gupta, A., Järveläinen, J., Morgan, L. and McCarthy, S. (2026), 'Real-time data sharing frameworks – current state and research agenda', Communications of the Association for Information Systems, 59(1), 60 Available at: https://aisel.aisnet.org/cais/vol59/iss1/60/
dc.identifier.endpage29
dc.identifier.issn1529-3181
dc.identifier.journaltitleCommunications of the Association for Information Systems
dc.identifier.otherORCID: /0000-0002-5761-7162/work/227698598
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/10468/19416
dc.language.isound
dc.publisherAssociation for Information Systems
dc.relation.urihttps://aisel.aisnet.org/cais/vol59/iss1/60
dc.rights© 2026 AIS. This material is brought to you by the AIS Journals at AIS Electronic Library (AISeL). It has been accepted for inclusion in Communications of the Association for Information Systems by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact elibrary@aisnet.org.
dc.rights.accessrightsopen access
dc.statusPeer reviewed
dc.subjectReal-time data sharing (RTDS)
dc.subjectReal time data sharing frameworks (RTDSFs)
dc.subjectDigital governance
dc.subjectTrust
dc.subjectFederated machine learning (FML)
dc.subjectCybersecurity
dc.subject[CUBS]
dc.titleReal-time data sharing frameworks – current state and research agenda
dc.typeArticle (peer-reviewed)
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