After completing this course the student will be able to:
-gather, clean, represent and transform humanities data
-work in a research team
-design a Data Management Plan
-communicate research results to an academic audienc
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Humanities data exist in various shapes and forms. Data types in the humanities include (but are not limited to):
-Textual data, derived from written sources.
-Oral data, derived from e.g. interviews
-Visual data, derived from what one can see
-Tabular data, stored in spreadsheets as (numerical) representations of a specific data type.
Humanities students are trained in analyzing one or more of these data types using various methods and techniques, e.g. narratological analysis for textual data, discourse analysis for oral data, semiotic analysis for visual data, and statistical or computational analysis for tabular data. However, working with specific data types and methods requires hands-on, practical experience that students often lack. This includes the collection of data; preprocessing and cleaning the data; the representation of data; and transforming data into something else. In Humanities Data Analysis, you will be acquainted with the practicalities involved in all these research phases. How and where do you select your sources? How do you remove ‘noise’ from the data? How do you move from source to visualization? How do you add new layers of meaning onto the data you collected? What is the difference between ‘analogue’ and digitized data? Which methods and techniques are more and which are less applicable in specific research settings? This course builds on theoretical insights gained in Methods and Techniques. It does so by applying these insights in data-driven research settings. As part of a small interdisciplinary research team (2-3 students), you will be responsible for answering a sub-question within an existing research project at the Faculty of Arts. Being part of such a team will highlight the ideals of Team Science, academic integrity and interdisciplinarity. At the end, you will present your results to the project team. After a positive assessment, you are invited to disseminate your findings to the wider research community in the form of a conference talk, journal paper or a research proposal.
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