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Investigating (inter)organisational data governance design in maintenance networks: developing a research methodology and crafting data collection methods

With information technologies becoming available on a growing scale, capturing large amounts of building information is becoming cheaper and economically viable. This is creating new challenges for real estate management organisations. Producing digital assets is one thing, managing them and knowing how to use them is another. The information management tasks and responsibilities of real estate management organisations therefore are becoming challenging and complex at the same time. Not in the least by the fact that in many situations, maintenance activities are outsourced to contractors and sub-contractors, creating maintenance networks. While building register information may be produced in the first place to fulfil the building owner’s needs, this research assumes building registers could also contribute to innovation in the greater maintenance network if the right form of data governance can be implemented. This paper, which is part of a larger research project, presents a research approach for investigating such governance designs for building registers. The approach is based on a qualitative research approach because it aims to address the stakeholders interests adequately and produce findings that are meaningful to all stakeholders for improving data governance in professional practice. Within a multiple case study methodology, an embedded case study design is presented that may provide a useful guide for researchers in this field. The proposed methodology will be used to conduct four in depth case studies. The intended outcome of this research is a theoretical framework that integrates data governance design factors with network innovation effects. It can be used to guide the design of (inter)organisational data governance programmes in maintenance networks.

U and I: Synthesizing Life Design and Self Narrative

This paper explores the construction of self-narratives through a synthesis of two frameworks: Designing Your Life (DYL) and Theory U. Using close reading methodology, it analyzes how these approaches inform personal and professional development. The study highlights three key dimensions: doing (prototyping life choices), believing (leveraging intuition), and empowering (considering broader impacts). While DYL emphasizes rapid experimentation in career design, Theory U focuses on systemic change through "presencing." The integration of these perspectives reveals that self-narratives are intricately linked with social systems and future generations. This synthesis advances the discourse on life design by encouraging researchers to consider the role of the Self in historical and future-oriented contexts and by prompting exploration of intuition and narrative co-creation in fields like education and organizational change. The paper concludes that conscious narrative shaping, informed by both action and reflection, is crucial for meaningful personal development in an interconnected world.

Crafting showing making

Optimizing Students’ Mental Health and Academic Performance: AI-Enhanced Life Crafting

This article describes the relation between mental health and academic performance during the start of college and how AI-enhanced chatbot interventions could prevent both study problems and mental health problems.

Physical sensemaking

The potential of a ‘data-driven life’, together with the realization of Weiser’s vision of ‘the disappearing computer’ have been embraced by many. However, the increasing invisibility, virtuality and complexity of data systems also come with a variety of concerns, such as issues of sensemaking, ownership, representation and control. Although data and technology is all around us, its virtual and invisible nature, thereby its lack of material and tangible forms has implications on the way data systems are (mis) used, understood, experienced and perceived. This paper presents craft-based approaches for physical sense making –widely ranging from physical artefacts to show and hide from monitoring, to crafting data physicalizations for critical thinking, communication and creativity. In doing so, this paper discusses how crafting physical forms can be used as a way to grasp and understand ‘invisible’ data systems.