Download or read book New Developments in Data Archives for the Social Sciences written by Erwin K. Scheuch and published by . This book was released on 1966 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Preparing Data for Sharing written by and published by Amsterdam University Press. This book was released on 2010 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: This data guide takes readers through the cycle of social science research, from applying for a research grant, through conducting the data collection phase, and ultimately to preparing the data for deposit in archives or data repositories. An adaptation of the fourth edition of the Guide to Social Science Data Preparation and Archiving of 2009 by the Inter-University Consortium for Political and Social Research at the University of Michigan, this publication will help researchers to manage, document, and archive their data and to think broadly about which types of digital content should be deposited in such an archive.
Download or read book Data Archives for the Social Sciences written by Stein Rokkan and published by . This book was released on 1966 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: International conference papers on social sciences documentation - includes the production of sample survey data, and the development, operation and technical aspects of data archives. Conference held in Paris 1964 September 28 to 30.
Download or read book The Archive Project written by Niamh Moore and published by Routledge. This book was released on 2016-07-28 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent scholarship on archival research has raised questions concerning the character and impact of 'the archive' on how the traces of the past are researched, the use and analysis of different kinds of archived data, methodological approaches to the practicalities involved, and what kind of theory is drawn on and contributed to by such research. The Archive Project: Archival Research in the Social Sciences builds on these questions, exploring key methodological ideas and debates and engaging in detail with a wide range of archival projects and practices, in order to put to use important theoretical ideas that shed light on the methods involved. Offering an overview of the current 'state of the field' and written by four authors with extensive experience in conducting research in and creating archives around the world, it demonstrates the different ways in which archival methodology, practice and theory can be employed. It also shows how the ideas and approaches detailed in the book can be put into practice by other researchers, working on different kinds of archives and collections. The volume engages with crucial questions, including: What is 'an archive' and how does it come into existence? Why do archival research and how is it done? How can sense be made of the scale and scope of collections and archives? What are the best ways to analyse the traces of the past that remain? What are helpful criteria for evaluating the knowledge claims produced by archival research? What is the importance of community archives? How has the digital turn changed the way in which archival research is carried out? What role is played by the questions that researchers bring into an archive? How do we deal with unexpected encounters in the archive? A rigorous and accessible examination of the methods and choices that shape research 'on the ground' and the ways in which theory, practice and methodology inform one another, this book will appeal to scholars across the social sciences and humanities with interests in archival and documentary research.
Download or read book Social Implications of Social Science Data Archives written by Douglas K. Stewart and published by . This book was released on 1967 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent development of large-scale collections of information relevant to the social sciences (commonly referred to as 'social science data archives') is significant for society as well as for the social sciences. It is the purpose of this paper to describe the present and possible future status of social science data archives and to call attention to some of the current problems and possible ramifications. (Author).
Download or read book Data Archives for the Social Sciences Purposes Operations and Problems written by David Nasatir and published by . This book was released on 1973 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: UNESCO pub. Report on a feasibility study concerning the establishment, within the framework of an international organization, of a coordinating federation of data base in the social sciences to facilitate world-wide use of information in this field - examines prospective trends in archives development, and includes operational and procedural aspects of information processing, financing strategies, administrative aspects, etc. Diagrams and references.
Download or read book Social Science Data Archives in Eastern Europe written by Brigitte Hausstein and published by . This book was released on 2002 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Results of a workshop held in Berlin, Germany in February, 2002, on social science data archives in Eastern Europe. Sponsored by UNESCO Management of Social Transformations Programme (MOST) and the German Social Science Infrastructure Services (GESIS).
Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
Download or read book Continuation and Development of the Council of Social Science Data Archives written by University of Pittsburgh and published by . This book was released on 1968 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Big Qual written by Susie Weller and published by Springer Nature. This book was released on 2023-12-04 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This upper-level textbook presents a new approach to large scale qualitative analysis – the pioneering breadth-and-depth method. It covers the strengths and deployment of “big qual” as a distinct research methodology. The book will appeal to students and researchers across disciplines and methodological backgrounds. The growing availability of large qualitative data sets presents exciting opportunities. Pooling multiple qualitative data sets enhances the possibility of theoretical generalisability and strengthens claims from qualitative research about understanding how social processes work. Given the evolving possibilities that big data offers the humanities and social sciences, this book will be a must-have resource, building capacity and provoking new ways of thinking about qualitative research and its analysis.
Download or read book Social Science Data Archives written by Kathleen de la Peña McCook and published by . This book was released on 1980 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Behavioral and Social Sciences written by National Research Council and published by National Academies Press. This book was released on 1988-02-01 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.
Download or read book Working With Archival Data written by Glen H. Elder and published by SAGE. This book was released on 1993 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: The number of longitudinal data archives is growing almost daily, yet no resource exists to help understand the relationship between research questions and archival data--until now. Drawing on a single project, the Lewis Terman Study at Stanford University, the authors illustrate how to use the model-fitting process to select and fit the right data set to a particular research problem. Employing a step-by-step approach, this handy volume covers the measurement of historical influences, the adaptation of existing coding schemes to temporal patterns that are characteristic of life records, and the recasting of archival materials to illuminate contemporary questions that the data were not designed to answer.
Download or read book Managing and Sharing Research Data written by Louise Corti and published by SAGE. This book was released on 2014-03-01 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research funders in the UK, USA and across Europe are implementing data management and sharing policies to maximize openness of data, transparency and accountability of the research they support. Written by experts from the UK Data Archive with over 20 years experience, this book gives post-graduate students, researchers and research support staff the data management skills required in today's changing research environment. The book features guidance on: how to plan your research using a data management checklist how to format and organize data how to store and transfer data research ethics and privacy in data sharing and intellectual property rights data strategies for collaborative research how to publish and cite data how to make use of other people's research data, illustrated with six real-life case studies of data use.
Download or read book Data Libraries for the Social Sciences written by and published by . This book was released on 1982 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data archives for the social sciences written by and published by . This book was released on 1966 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Uncertain Archives written by Nanna Bonde Thylstrup and published by MIT Press. This book was released on 2021-02-02 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
