This open access book provides practical guidance for non-profits and community sector organisations about how to get started with data analytics projects using their own organisations' datasets and open public data. The book shares best practices on collaborative social data projects and methodology. For researchers, the work offers a playbook for partnering with community organisations in data projects for public good and gives worked examples of projects of various sizes and complexity.

The unique demands on dementia care of remote and rural settings are explored in this first dedicated analysis. Drawing on evidence from the UK, Australia, Europe and North America, it examines the experiences and needs of those living with the condition and those caring for them, and sets out opportunities for future research, policy and practice in dementia services.

In recent decades, governments have promoted social enterprise as a means to address welfare and tackle disadvantage. Early academic work on social enterprises reflected this development and engaged with their ability to deliver and create jobs, work towards remedial environmental goals, and address a range of societal challenges. More recently, researchers have started to investigate the broader potential of social enterprise for the wellbeing of people and the planet. In this context, this book aims to answer the question: In what ways can social enterprises improve the health and wellbeing of individuals and communities? The chapters in this edited collection take different perspectives on assessing how social enterprises address disadvantage and deliver health and wellbeing impacts. Drawing on evidence from international research studies, Social Enterprise, Health, and Wellbeing: Theory, Methods, and Practice presents the 'first wave' of innovative research on this topic and provides a platform of evidence to inspire the next generation of scholarly and policy interest. Drawing on the cutting edge of interdisciplinary research in the field, this book will be of interest to researchers, academics, policymakers, and students in the fields of entrepreneurship, public and social policy, community development, public health, human geography, and urban planning.

This open access book provides practical guidance for non-profits and community sector organisations about how to get started with data analytics projects using their own organisations' datasets and open public data. The book shares best practices on collaborative social data projects and methodology. For researchers, the work offers a playbook for partnering with community organisations in data projects for public good and gives worked examples of projects of various sizes and complexity.