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Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard

Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard
Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard
Data standards are a powerful, real-world tool for enterprise interoperability, yet there exists no well-grounded methodology for selecting among alternative standards approaches. We focus on a specific sub-problem within a community’s data sharing challenge and identify four major standards-based approaches to that task. We present characteristics of a data sharing community that one should consider in selecting a standards approach—such as relative power, motivation level, and technical sophistication of different participants—and illustrate with real-world examples. These characteristics and other factors are then analyzed to develop decision rules for selecting among the four approaches. Independent of the data exchange problem, we suggest two general practices in choosing a standards approach: (1) vertical decomposition of interoperability issues, in order to define a narrow, formal, tractable problem, and (2) option-exclusion rules, as they are much simpler than stating optimal-choice rules.
1617-9846
495-515
Rosenthal, Arnon
e7404913-7f0d-4837-8a1a-477e69c416e9
Seligman, Len
5b46f3c7-5595-4a56-9f03-4ac7130472a8
Allen, M David
18929e90-715f-4358-b70e-74bce7dd519c
Chapman, Adriane
721b7321-8904-4be2-9b01-876c430743f1
Zhu, Hongwei
d1d3fcc9-4e41-4443-984f-8442c018b15b
Rosenthal, Arnon
e7404913-7f0d-4837-8a1a-477e69c416e9
Seligman, Len
5b46f3c7-5595-4a56-9f03-4ac7130472a8
Allen, M David
18929e90-715f-4358-b70e-74bce7dd519c
Chapman, Adriane
721b7321-8904-4be2-9b01-876c430743f1
Zhu, Hongwei
d1d3fcc9-4e41-4443-984f-8442c018b15b

Rosenthal, Arnon, Seligman, Len, Allen, M David, Chapman, Adriane and Zhu, Hongwei (2014) Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard. Information Systems and E-business Management, 12 (4), 495-515. (doi:10.1007/s10257-014-0238-3).

Record type: Article

Abstract

Data standards are a powerful, real-world tool for enterprise interoperability, yet there exists no well-grounded methodology for selecting among alternative standards approaches. We focus on a specific sub-problem within a community’s data sharing challenge and identify four major standards-based approaches to that task. We present characteristics of a data sharing community that one should consider in selecting a standards approach—such as relative power, motivation level, and technical sophistication of different participants—and illustrate with real-world examples. These characteristics and other factors are then analyzed to develop decision rules for selecting among the four approaches. Independent of the data exchange problem, we suggest two general practices in choosing a standards approach: (1) vertical decomposition of interoperability issues, in order to define a narrow, formal, tractable problem, and (2) option-exclusion rules, as they are much simpler than stating optimal-choice rules.

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More information

e-pub ahead of print date: 20 January 2014
Published date: 2014
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 411157
URI: http://eprints.soton.ac.uk/id/eprint/411157
ISSN: 1617-9846
PURE UUID: 467a0be7-ec2f-414b-8a42-2e616509fea0
ORCID for Adriane Chapman: ORCID iD orcid.org/0000-0002-3814-2587

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Date deposited: 15 Jun 2017 16:31
Last modified: 16 Mar 2024 04:29

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Contributors

Author: Arnon Rosenthal
Author: Len Seligman
Author: M David Allen
Author: Adriane Chapman ORCID iD
Author: Hongwei Zhu

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