A practical guide on how to build and publish your dataset and data visualizations
| Authors | |
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| Year of publication | 2025 |
| Type | Workshop |
| MU Faculty or unit | |
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| Description | Dataset creation is part of the research process, involving the collection of different types of data. While the common practice in Film Studies has been to keep datasets as documents for “internal use” of the researcher, the publication of datasets opens up new possibilities of understanding data collection as part of a collective endeavour that is more typical in the hard sciences. In this way, we operate in an open data logic. We explain essentials in the field such as setting up a data management plan (DMP), adding metadata and following FAIR(ER) principles, making data findable, accessible, interoperable, reusable, and also ethical and revisable (Verhoeven 2018). We also discuss available repositories for publishing research data and mention DH tools that help clean data, analyze and visualize datasets. By presenting a practical approach to dataset publication, this workshop offers key tools to understand dataset creation as part of a publishing process with its own procedures and logics. In the first part, workshop leaders offer a general introduction to the steps, tools and methods of dataset creation, data visualization (like ArcGIS for spatial mapping and Gephi for network visualization) and data publishing. We will employ our various project backgrounds in cinema-going history, film festival research and film analysis as examples to mention practical tips, tools that work, websites (e.g. Programming Historian) and repositories to use etc. Through a sample dataset, we demonstrate the advantages of interactive displays of quantitative data while critically addressing the methodological challenges and limitations of this approach. In the second part, we invite all workshop participants to join and work practically with a real dataset to go through these steps. All participants are also invited to bring their own projects and data to discuss in the workshop. |
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