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:

Research Process 

  1. Methodological frameworks and epistemic cultures: Develop common methodological frameworks/terminology and encourage wider use of shared research protocols in these areas. 
  2. 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. 
  3. Reproducible and open research: Promote transparent and reproducible research in the humanities, including data, code, workflows, computational environments, methods, and documentation. ..."



From feeds:

Open Access Tracking Project (OATP) » peter.suber's bookmarks


oa.new oa.humanities oa.data oa.recommendations oa.reproducibility oa.code oa.floss oa.ssh

Date tagged:

08/07/2020, 10:44

Date published:

08/07/2020, 06:43