What can the humanities do for data science? | The Alan Turing Institute
peter.suber's bookmarks 2020-08-07
"The paper outlines recommendations in seven areas across two themes to support, and further, interdisciplinary research in data science and humanities, including:
- Methodological frameworks and epistemic cultures: Develop common methodological frameworks/terminology and encourage wider use of shared research protocols in these areas.
- Best practices in the use and evaluation of computational tools: Use practices that ensure transparency and openness in research, and training programmes to help choose the most suitable computational tools in humanities research.
- Reproducible and open research: Promote transparent and reproducible research in the humanities, including data, code, workflows, computational environments, methods, and documentation. ..."