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The construction project information for FM team control and maintenance is vital. However, current practices indicate significant data drops during the handover stage, leading to rework during FM systems integration of inaccurate, delivered information. Although challenges in BIM implementation are well studied, there is a current lack of best practices from FM industry experts highlighting challenges with a specific focus on the areas of the data drop. Therefore, the aim is to develop a framework that can reduce data loss and improve data management. The objectives include robust literature review on challenges of information loss during handover phase, management and frameworks; Adopting case study and workshops to identify information loss challenges, framework development and validation with industry experts. This paper adopted a grounded theory approach to explore literature and conducted case studies, including a series of semistructured interviews and a workshop with FM industry experts. The findings show the areas and causes of information loss and how to manage them through the developed information loss management framework (ILMF). Practical Applications: With the start of any type of project, planning and establishing rules from the beginning facilitates the smooth transition between different phases. Similarly, in construction projects, this research provides guidelines on how facility managers can manage information loss when exchanged through projects' stages. Furthermore, with the continuing advancements in the construction world, the facility management should be equipped with management and leadership guidelines as presented in the proposed framework to reduce data loss during handover. However, there are cost and contractual issues that prohibit any involvement of the facility manager in early project stages. The results of this study provide an identification of professional practices do's and do not's that facilitate the management and development of projects with the support of the latest technologies in the market. Ultimately, developing a guide that adapts international standards. The study's contribution to knowledge includes the development of a new information loss management framework that adopts BIM and ISO standards after exploring the existing data management frameworks in the literature that lack data loss management as a focus. The framework works as a guide for various stakeholders such as designers, contractors with a focus on FM to facilitates data coordination and management to reduce information loss, its creation and validation were conducted in collaboration with industry experts. Furthermore, its novelty lies in integrating FM role, information management, information loss, address project life cycle, and adopts the ISO 19650 series. [ABSTRACT FROM AUTHOR]

Public spaces play a significant role in improving social, recreational and cultural activities that are inclusive. However, smart public spaces are required to save time and costs, and to provide comfort to the public, ultimately enhancing livability. There are various user requirements and demands to respond to. This research aims to adopt intelligent technologies applied in public spaces to facilitate livability through urban facility management (UFM) involvement in improving livability. The establishment of intelligent systems in the architecture industry goes hand in hand with the growing advancement of science and technology in several aspects of human life. A fundamental key to the success of smart cities is the high quality of livability offered to their residents and visitors. The UFM can enable livability by providing data centers, access controls, integrated security systems, monitoring, smart waste, energy and water management in public spaces. This study focused on five elements of livability, including accessibility, functional infrastructure, interaction and social cohesion, amenity and participation, quality of life through safety and security and privacy. The research methodology adopts the activity theory (AT) as its underpinning theory for the qualitative data collection process (interviews and a workshop) from industry experts in two prominent smart cities in Qatar, Lusail and Msheireb, along with a literature review. This study's results provide information on existing smart city and public space features, infrastructures and their impact on livability. The findings of this study support the development of the smart livable public spaces (SLiPS) framework. The framework is a baseline for improving livability in smart cities, which allows future updates based on existing ICT infrastructure, enabling new functions and the availability of novel technology applied by UFM. The outcome of livability leads to the achievement of smart city goals. [ABSTRACT FROM AUTHOR]