Data Stewardship for Open Science

List of Figures

1.1 Open science basics: pattern recognition versus con_r-mational reading

1.2 Open science needs respectful collaboration of specialists

1.3 Data stewardship problems today and the major reasons for non-reproducibility

1.4 Science should not become a fruit machine of correlations

1.5 Too much time is spent on repetitive data munging

1.6 Link rot in papers, the second worst invention: supplementary data

1.7 The sequential hurdles put up by the Article⁽⁺⁾ approach

1.8 No escape from writing more than we can read? Article⁽⁺⁾ approach

1.9 No escape from complexity Article⁽⁺⁾ approach

1.10 The possibility to use distributed and independently generated linked FAIR data

1.11 The current malpractice in scholarly publishing and communication ...