EconPapers    
Economics at your fingertips  
 

Making Sense of Data Systems

Paul Beynon-Davies ()
Additional contact information
Paul Beynon-Davies: Cardiff Business School

Chapter 14 in Business Analysis and Design, 2021, pp 245-254 from Springer

Abstract: Abstract In this chapter we examine issues relating to the design of data structures and their articulation. We define a data system as a set of inter-related patterns of articulation. In turn, a pattern of articulation consists of a set of inter-related acts of articulation. Data structures are important because of the way in which they serve to scaffold institutional facts.

Keywords: Data pattern; Data system; Institutional fact (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-67962-0_14

Ordering information: This item can be ordered from
http://www.springer.com/9783030679620

DOI: 10.1007/978-3-030-67962-0_14

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-030-67962-0_14