Standardisation and Research

Reinhold Stahl and Patricia Staab

Chapter Chapter 6 in Measuring the Data Universe, 2018, pp 41-45 from Springer

Abstract: Abstract Research in various scientific disciplines shows an increasing data orientation. However, researchers are not usually interested in all-encompassing standardisation but in a narrow subject area for which they need well-prepared datasets. Technical tools can provide a high degree of automation both for data integration and for reporting. However, there is a gap between what researchers want from a dataset and what even well-ordered data structures can offer. This gap is closed by research data centres: they offer suitable linking of data from different sources, technical preparation and good documentation of the data content. Most often, they also have to ensure confidentiality. The existence of high-potential data sources, good preparation and accessibility of data may influence the direction of the research activity: namely, research goes where good data are available.

Date: 2018
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DOI: 10.1007/978-3-319-76989-9_6

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