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In our past work, we have developed a data structuring technique based on trees and multitrees to model clinical research data. In this paper, we try to assess the suitability of this model for keeping an electronic laboratory notebook by comparing its strengths and weaknesses with the products of some of the leading software providers on the market. The comparison focuses on five critical aspects: customizability, the use of tree-like structures, the use of patterns or templates, the techniques used to retrieve the data and functions that support collaboration. In the last two sections of the paper, we discuss our findings and draw some conclusions that will serve as guidelines for our future work. [ABSTRACT FROM AUTHOR]

In our past -work we have developed a data structuring technique based on trees and multitrees to model clinical research data. In this paper we try to assess the suitability of this model for keeping an electronic laboratory notebook by comparing its strengths and weaknesses with the products of some of the leading software providers on the market. The comparison focuses on five critical aspects: customizability, the use of tree-like structures, the use of patterns or templates, the techniques used to retrieve the data and functions that support collaboration. In the last two sections of the paper we discuss our findings and draw some conclusions that will serve as guidelines for our future work. [ABSTRACT FROM AUTHOR]