‘Today, most research projects are considered complete when a journal article based on the analysis has been written and published. The trouble is, the amount of real data and data description in modern publications is almost never sufficient to repeat or even statistically verify a study being presented. Worse, researchers wishing to build upon and extend work presented in the literature often have trouble recovering data associated with an article after it has been published. More often than scientists would like to admit, they cannot even recover the data associated with their own published works.
So how do we go about caring for and feeding data? This article offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized.’
Hello dear Kurtenians!
Here are some great news that you may already be aware of, but here it is again:
A database of stereographic anaglyphs as well as full, printable, 3D models of over 20000 fossils observable in the British Isles has been made available online through a cooperation between the British Geological Survey, several musea in the UK and the Joint Information System Commitee.
I would like to share some of my new experience on “bootstrapping” (http://en.wikipedia.org/wiki/Bootstrapping_%28statistics%29), which is a resampling method to estimate the mean and confidence intervals of your data. It is especially powerful when your data do not have normal distribution.
Attached is the original paper of this method. PDF: Efron_Bootstrap_AS1979