Digital Data Repositories in Chemistry and Their Integration with Journals and Electronic Notebooks
Author(s) -
M J Harvey,
Nicholas Mason,
Henry S. Rzepa
Publication year - 2014
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/ci500302p
Subject(s) - identifier , computer science , information retrieval , reuse , metadata , set (abstract data type) , object (grammar) , visualization , world wide web , database , data mining , programming language , ecology , artificial intelligence , biology
We discuss the concept of recasting the data-rich scientific journal article into two components, a narrative and separate data components, each of which is assigned a persistent digital object identifier. Doing so allows each of these components to exist in an environment optimized for purpose. We make use of a poorly-known feature of the handle system for assigning persistent identifiers that allows an individual data file from a larger file set to be retrieved according to its file name or its MIME type. The data objects allow facile visualization and retrieval for reuse of the data and facilitates other operations such as data mining. Examples from five recently published articles illustrate these concepts.
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