For everyone out there who believes that science (i.e. the methods, data and results) should be more open, hear the good news: You are not alone! A whole series of papers published in the worlds most highly ranked journals is on your side – or are they?
Duncal Hull compiled an excellent list of resources.
My personal favorite is the following:
The analysis of geospatial information is currently a big trend in medicine and public health. Even though some may want to convince you that this can only be achieved with the latest and most expensive software, I am not convinced. First, analysis of spatial data dates back to at least 1856 when John Snow investigated Cholera-outbreaks in London. Second, as I try to demonstrate today some very interesting analysis and data can be retreived essentially for free.
While I have already made a post on how to plot freely availible geospatial data in R in a previous post , this post will show you how to use Python to access the google maps database and gather e.g. travel times and distances to/from various locations with known zip-codes.
Please note that this is my first Python skript. So it will certainly not meet the high standards you might have developed based on previous posts. On the up-side, you will get the baby step instructions.
Update 2011/07/03: A much more user-friendly version of the script that adds guis to select a proper csv-file, containing start and end-adressess and to store the results can be found here. If you are afraid of Python, you can use the stand-alone Mac app “batchtimer” that basically contains all files necessary from here.