The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science - from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, and data collection, and quantitative and qualitative empirical analysis - exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions and Designing Good Research Projects; Part Two: Methods of Theoretical Argumentation; Part Three: Conceptualization and Measurement; Part Four: Large-Scale Data Collection and Representation Methods; Part Five: Quantitative-Empirical Methods; Part Six: Qualitative and Mixed Methods.
Chapter 5: Taking Data Seriously in the Design of Data Science Projects
Taking Data Seriously in the Design of Data Science Projects
In its broadest sense, every empirical project is a ‘data science’ project, so every chapter in this Handbook contains relevant advice for data science projects. Conversely, some might define ‘data science’ more narrowly, associating with particular approaches to inference from data (e.g., machine learning, deep learning, Bayesian inference), or with particular modes of data collection (e.g., web scraping) or with the set of methodologies and technologies that have emerged for drawing inferences from relatively new sorts of ‘nonrectangular’ data, ranging from data with complex structure (e.g., spatial or network data) to data with no obvious structure as social science data at all (e.g., text or image data). Most of these topics ...