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This book offers a practical introduction to digital history with a focus on working with text. It will benefit anyone who is considering carrying out research in history that has a digital or data element and will also be of interest to researchers in related fields within digital humanities, such as literary or classical studies. It offers advice on the scoping of a project, evaluation of existing digital history resources, a detailed introduction on how to work with large text resources, how to manage digital data and how to approach data visualisation. After placing digital history in its historiographical context and discussing the importance of understanding the history of the subject, this guide covers the life-cycle of a digital project from conception to digital outputs. It assumes no prior knowledge of digital techniques and shows you how much you can do without writing any code. It will give you the skills to use common formats such as plain text and XML with confidence. A key message of the book is that data preparation is a central part of most digital history projects, but that work becomes much easier and faster with a few essential tools.
in the digital data economy’ ( Lupton, 2016: 117 ). Important gender implications arise from how surveillance technologies focused on bodies and personal lives intersect with identity-based discrimination, particularly gender-based violence, such as stalking or honour killing, and societal power-relation constructs ( Woodlock, 2017 ). The intensification of surveillance by self-tracking devices is significant, and, following Ruckenstein and Schüll (2017) , it is useful to adapt
services for and with displaced persons across the world since 2015’ ( Techfugees, 2022 ). The Digitalisation of Humanitarian Services More broadly, the humanitarian sector has digitalised many of its services, such as WFP’s transition to electronic vouchers and the longstanding use of biometrics in refugee registration. UNHCR has, for instance, been involved with digital data through biometric data collection. It has used identity technology
data relations thus not only raise questions about how to better know and act upon the world, but also shed light on the very foundations of what we consider knowledge to be. This book starts from the conceit that attention to digital data opens up the possibility of interrogating more broadly the presuppositions, techniques, methods and practices out of which claims about the value and purpose of knowledge gain power. To talk of digital data is to talk of one facet of a broader terrain of knowledge production, of which numerical or digital data is only one part
Data is not just the stuff of social scientific method; it is the stuff of everyday life. The presence of digital data in an ever widening range of human relationships profoundly unsettles notions of expertise for both ethnographers and data scientists alike. This collection situates digital data in broader knowledge-production practices. It asks about the kinds of social worlds that data scientists are creating as the profession coalesces, and looks at the contemporary possibilities available to both ethnographers and their participants for knowing, formatting and intervening in the world. It shows what digital data is doing to the empirical methods that sustain claims to expertise, with a particular focus on implications for ethnography.
The contributors offer empirically grounded accounts of the cultures, infrastructures and epistemologies of data production, analysis and use. They examine the professionalisation of data science in a variety of national and transnational contexts. They look closely at specific data practices like archiving of environmental data, or claims-making about how software is produced. They also offer a glimpse into the new methodological and pedagogical possibilities for teaching and doing ethnography in a data-saturated world.
collaborative space of ethnographic-cum-digital data generation and analysis.1 The specific question we wish to focus on here revolves around the problem of what ‘collaboration’ between or across different disciplines might mean and entail both within and outside the academy. An extensive social scientific and STS literature pertaining to this question already exists, including work concerned with the relationship between qualitative ethnographic data and different kinds of quantitative data, whether deemed ‘digital’, ‘computational’ or not. Within the field of anthropology
companies which have a commercial interest in keeping that data under their control. The distorting results of this are already apparent in the field of social media research, where studies using Twitter predominate because the data is at least partially accessible. This is what happens with digitised materials too – we research what we can find – but for born-digital data the commercial imperatives are greater and ownership lies in the hands of far fewer companies. Digital preservation specialists are working hard to ensure that digital sources will remain accessible
working with digital data will be through a platform like Hansard Online. It delivers immediately relevant results, but at the cost of control and, inevitably, some insight. It is not always easy to understand precisely what it is you are searching or browsing, and how the choices made by editors, technical developers and other project staff are predetermining what you might be able to find. It is to the credit of the team behind Hansard Online that they have highlighted one of the key things that historians should be aware of when using the database: it combines
records, and digital records are often poorly documented, making their production and methodology hard to reconstruct and understand. A common and useful distinction is made between data which is ‘born digital’ and digitised data, which has been converted somehow from analogue form (usually print or manuscript). A frequent assumption is that born-digital data is easier to work with but this is rarely the case. Let us take a very simple example of a piece of born-digital data to show the complexity of dealing with it: {"created_at": "Mon Aug 20 14:27:45 +0000
systems. The givenness of fluidity In its simplest terms, digital mapping involves the digitisation of either preexisting maps or the tracing and measuring of orthophotographic imagery. The latter refer to the use of geometrically corrected aerial photography as the basis for mapping, rather than using the traditional symbolic representations. Dissemination of imagery through services such as Google Maps has encouraged everyday utilisation of such data. In either case, the result is a set of spatio-temporally indexed digital data, which allows locations to be recorded