Why Is Data Integration So Hard?

Reinhold Stahl and Patricia Staab

Chapter Chapter 4 in Measuring the Data Universe, 2018, pp 23-33 from Springer

Abstract: Abstract Data integration is a multi-step process, starting with the logical centralisation of data in a common system. Then, a common order system, a unified data modelling method, is established to enable automated handling of the data. A common understanding will then be achieved through semantic harmonisation. Data integration allows linking and subsequent processing of data from different sources. Essential for this is this three-step standardisation, which unfortunately has to overcome many obstacles. Some lie in the technology, some in the silo thinking of different parties involved. It may be concerns regarding privacy, or the lack of incentive due to seemingly low market potential. As a result, previous information technology standards for data were either industry-specific silo solutions or limited to a formal framework.

Date: 2018
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DOI: 10.1007/978-3-319-76989-9_4

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