Requirements engineering for E-science: Experiences in epidemiology

Sarah Thew; Alistair Sutcliffe; Rob Procter; Oscar de Bruijn; John McNaught; Colin Venters; Iain Buchan

doi:10.1109/MS.2009.19

Requirements engineering for E-science: Experiences in epidemiology

Sarah Thew, Alistair Sutcliffe, Rob Procter, Oscar de Bruijn, John McNaught, Colin Venters, Iain Buchan

Research output: Contribution to journal › Article › peer-review

Abstract

The Advises (Adaptive Visualization of E-science) project is developing tools to support geographic visualization in epidemiology and public-health decision making. In this project, a user-centered requirements process focuses on the research questions epidemiologists ask, the language they use, and the tacit knowledge employed in reasoning about epidemiological data. Combining a range of requirements-gathering techniques provides considerable advantages. © 2009 IEEE.

Original language	English
Pages (from-to)	80-87
Number of pages	7
Journal	IEEE Software
Volume	26
Issue number	1
DOIs	https://doi.org/10.1109/MS.2009.19
Publication status	Published - 2009

Keywords

Conferences
data-driven research
Decision making
Educational institutions
Epidemiology
Ethnography
Interviews
Maps
Ontologies
Ontology development
Prototypes
Prototyping
Requirements analysis
Scenarios
Software
Storyboards
Tacit knowledge

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/MS.2009.19

Cite this

@article{ea545bcfb25f4af4953d9e0385a0ea2f,

title = "Requirements engineering for E-science: Experiences in epidemiology",

abstract = "The Advises (Adaptive Visualization of E-science) project is developing tools to support geographic visualization in epidemiology and public-health decision making. In this project, a user-centered requirements process focuses on the research questions epidemiologists ask, the language they use, and the tacit knowledge employed in reasoning about epidemiological data. Combining a range of requirements-gathering techniques provides considerable advantages. {\textcopyright} 2009 IEEE.",

keywords = "Conferences, data-driven research, Decision making, Educational institutions, Epidemiology, Ethnography, Interviews, Maps, Ontologies, Ontology development, Prototypes, Prototyping, Requirements analysis, Scenarios, Software, Storyboards, Tacit knowledge",

author = "Sarah Thew and Alistair Sutcliffe and Rob Procter and {de Bruijn}, Oscar and John McNaught and Colin Venters and Iain Buchan",

year = "2009",

doi = "10.1109/MS.2009.19",

language = "English",

volume = "26",

pages = "80--87",

journal = "IEEE Software",

publisher = "IEEE Computer Society ",

number = "1",

}

TY - JOUR

T1 - Requirements engineering for E-science: Experiences in epidemiology

AU - Thew, Sarah

AU - Sutcliffe, Alistair

AU - Procter, Rob

AU - de Bruijn, Oscar

AU - McNaught, John

AU - Venters, Colin

AU - Buchan, Iain

PY - 2009

Y1 - 2009

N2 - The Advises (Adaptive Visualization of E-science) project is developing tools to support geographic visualization in epidemiology and public-health decision making. In this project, a user-centered requirements process focuses on the research questions epidemiologists ask, the language they use, and the tacit knowledge employed in reasoning about epidemiological data. Combining a range of requirements-gathering techniques provides considerable advantages. © 2009 IEEE.

AB - The Advises (Adaptive Visualization of E-science) project is developing tools to support geographic visualization in epidemiology and public-health decision making. In this project, a user-centered requirements process focuses on the research questions epidemiologists ask, the language they use, and the tacit knowledge employed in reasoning about epidemiological data. Combining a range of requirements-gathering techniques provides considerable advantages. © 2009 IEEE.

KW - Conferences

KW - data-driven research

KW - Decision making

KW - Educational institutions

KW - Epidemiology

KW - Ethnography

KW - Interviews

KW - Maps

KW - Ontologies

KW - Ontology development

KW - Prototypes

KW - Prototyping

KW - Requirements analysis

KW - Scenarios

KW - Software

KW - Storyboards

KW - Tacit knowledge

U2 - 10.1109/MS.2009.19

DO - 10.1109/MS.2009.19

M3 - Article

VL - 26

SP - 80

EP - 87

JO - IEEE Software

JF - IEEE Software

IS - 1

ER -

Requirements engineering for E-science: Experiences in epidemiology

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this