Our university is trialling an Electronic Lab Notebook software, LabArchives. Someone asked me why I won't be using it, FYI here's my answer.
I'm more inclined to support open-source solutions. But open-source type solutions are currently harder to use I think, so for those who don't have the technical know-how and don't have time to acquire such skills, LabArchives may be the way to go.
For myself, I favor Github and also Open Science Framework for code and data archiving, and also for code management in the case of github. For example, for the project I'm currently working on, I'm in a data analysis phase and am using github for all the version control through R, here: https://github.com/alexholcombe/speed-tf-VSS14
For archiving data, I'm currently inclined to use Open Science Framework, e.g. program code and data for experiments associated with an in-revision paper is here : https://osf.io/t4vmy/
OSF actually doesn't require technical know-how at all (although they're adding integration with github, which I may use in future), but it's mainly just a place to drop files currently.
Neither GitHub nor OSF have daily-lab-notebook type functionality, but I don't need that because all the parameters and details associated with running a subject in an experiment are automatically saved by my PsychoPy program when I execute it, including a frozen copy of the code at the time it was run and system info. For those using equipment not integrated together, like say a neuropsychological test done with paper and pencil, an EEG run somewhere else, and a behavioral test, a lab notebook might make more sense.