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[This Proceedings paper was revised and published in the 2019 issue of Informing Science: The International Journal of an Emerging Transdiscipline, Volume 22.]Aim/Purpose: In a world of rapidly expanding complexity and exponentially increasing data availability, IT-based knowledge management tools will be needed to manage and curate available information. This paper looks at a particular tool architecture that has been previously proposed: The Personal Knowledge Management System (PKMS). The specific focus is on how the proposed architecture conforms to design science principles that relate to how it is likely to evolve.Background: We first introduce some recent informing science and design science research frameworks, then examine how the PKMS architecture would conform to these.Methodology: The approach taken is conceptual analysis.Contribution: The analysis provides a clearer understanding of how the proposed PKMS would serve the diverse-client ambiguous-target (DCAT) informing scenario and how it could be expected to evolve.Findings: We demonstrate how the PKMS informing architecture can be characterized as a “social machine” that appears to conform to a number of principles that would facilitate its long-term evolution.Future Research: The example provided by the paper could serve as a model future research seeking to integrate design science and informing science in the study of IT artefacts.

Synthesizing Design and Informing Science Rationales for Driving a Decentralized Generative Knowledge Management Agenda