Speakers
Description
Scholars in the humanities working with datasets face two challenges: Discovering relevant datasets and publishing their own dataset after their research is completed. We propose a new filetype, namely CSMC (Computer Science Metadata Container), to bundle the raw research data alongside a visualization of the data. Scholars can view the visualization of a dataset before downloading the whole dataset to their computer, helping deciding dataset relevance. When using the dataset, there is an option to download just the research data and, furthermore, to cite individual entries used. When they publish their own dataset, other scholars can use this dataset in the same way. With our new file format, we help scientists to overcome the challenges of finding and publishing datasets.
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