@chutneyboy rightly notes that we are at a data “tipping pt” but how to accelerate it? Reproducibility issue has triggered a lot of attention, open data policies of govts. In other words, w/carrot and stick, the stick does bring results! #McHargLecture #EGU18
“We don’t have the luxury of duplicating efforts. I collaborate (a lot), and I am NOT desperate!” Wise words from #dataroyalty @klehnert1 #McHargLecture #EGU18
Fantastic example of data wrangling, putting the puzzle pieces, together is still Marie Tharp’s early 1970s world ocean floor effort, resulting in 1997 Heezen & Tharp classic. Great point by @klehnert1 #McHargLecture #EGU18
And then there’s that “data wrangling” problem. Surveys in recents years show that [data] scientists STILL spend 75-80% of their time compiling, managing data. #McHargLecture #EGU18
How should data facilities adapt? Reduce complexity of operations, better leverage external CI developments (e.g., @EarthCube), grow partnerships, seek to fund certain systems independently. Good ideas from @klehnert1 in her #McHargLecture #EGU18
Building effective disciplinary vs. interdisciplinary (e.g., among geochemistry, structural geology, etc.) systems also hugely challenging. Lessons learned from @iedadata and now being faced by @EarthCube #EGU18 #McHargLecture
Thank goodness for orgs such as @RDA_Europe @RDA_US @ESIPfed that are leading us to convergence and further progress #EGU #McHargLecture by @klehnert1
