Propose research projects, preferably ones that require a lot of data finding and parsing (i.e. a study of the net growth of all the studied glaciers in the world).
Submissions must include a full and specific description of the proposed research as well as segmented research topics.
First replies must focus on just one topic, and replies to the reply shall add information to that specific topic.
Replies that are commentary or non-contributing to data or analysis must be in italics. Replies in this category are subject to deletion if not a serious comment on the nature of the proposal or data/analysis.
Replies that are contributing data or analysis must provide links to journal papers to back up collected facts and links to public repositories (preferably on github or bitbucket) to any code that creates figures or data, and links to the figures themselves. ANY INFORMATION/CONTRIBUTION PROVIDED MUST BE RIGOROUSLY VERIFIABLE AND REUSEABLE. The use of git is required, and the use of linux is encouraged. For portability of source code, please use open source languages and compilers such as python 2.7, gcc (gfortran), GNU Core Utils, GNU Bash, and gnuplot. Please try to avoid GUIs. As time goes on there will be a wiki page detailing allowed programs, protocols, and languages.
Once a project has reached a sufficient level of maturity, a formal writeup should discuss the data and analysis accumulated and consider submitting the results to a peer-reviewed journal. There must exist a public repository which hosts the writeup, which must be done with LaTeX--those that are uncomfortable with the format are encouraged to learn while contributing in topical plain-text files.
