Abstract
In this series of articles for
In this article, I use my recent experience in academic research to explain how the essential disciplines of good records management (RM) are a necessary foundation for big data research. Like the quality movement of the 1990s, embedding good RM in big data research will avoid costly rework, illuminating erroneous conclusions and advancing research. There is more that the Information Scientist can bring to big data – managing the unpublishing process and guiding the integration of documents via structured data. Areas in which Information Scientists have the necessary background, discipline and experience.
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