A number of groups, from libraries and universities and academic projects are striving to implement flexible data management systems in order to harness the latest and greatest in semantic web technologies striving to integrate and facilitate breakthrough interdisciplinary analysis.
It is obviously know that every lab, every individual research group (regardless of the discipline) has developed internal data management systems that “work” (i.e. literature & data collection > excel > stats > graphing > word processer) but what has your lab found useful and what are your biggest frustrations?
Please feel free to comment below, or join the discussion on ResearchGate. or on NIF Blog @ http://blog.neuinfo.org/index.php/essays/lab-data-management-practices