TY - GEN
T1 - “Enslaved to the trapped data”
T2 - 4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019
AU - Knight, Ian A.
AU - Brailsford, David F.
AU - Wilson, Max L.
AU - Milic-Frayling, Natasa
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2019/3/8
Y1 - 2019/3/8
N2 - Systematic reviews are a comprehensive and parameterised form of literature review, found in most disciplines, that involve exhaustive analyses and rigorous interpretation of prior literature. Performing systematic reviews, however, can involve repetitive and laborious work in order to reach reliable standards. Strict guidelines and availability of published reviews make the task amenable to computerised assistance and automation using text mining, information extraction, and machine learning techniques. However, it is unclear which aspects of this Work Task are best suited for such support. This paper describes a three-month ethnographic study and Cognitive Work Analysis of the systematic reviews performed by a medical research group. Our findings show that the IR aspects of systematic reviews involve many tasks at two separate levels: 1) taxonomic organisation of documents and sub-document elements in relation to topic queries and domain-specific resources, and 2) extraction methods for structured summaries from the classified resources. This provides the basis for future work designing search tools with localised optimization and subtask automation to support specific phases of the process.
AB - Systematic reviews are a comprehensive and parameterised form of literature review, found in most disciplines, that involve exhaustive analyses and rigorous interpretation of prior literature. Performing systematic reviews, however, can involve repetitive and laborious work in order to reach reliable standards. Strict guidelines and availability of published reviews make the task amenable to computerised assistance and automation using text mining, information extraction, and machine learning techniques. However, it is unclear which aspects of this Work Task are best suited for such support. This paper describes a three-month ethnographic study and Cognitive Work Analysis of the systematic reviews performed by a medical research group. Our findings show that the IR aspects of systematic reviews involve many tasks at two separate levels: 1) taxonomic organisation of documents and sub-document elements in relation to topic queries and domain-specific resources, and 2) extraction methods for structured summaries from the classified resources. This provides the basis for future work designing search tools with localised optimization and subtask automation to support specific phases of the process.
KW - Cognitive work analysis
KW - Systematic review
KW - Work task
UR - http://www.scopus.com/inward/record.url?scp=85063144775&partnerID=8YFLogxK
U2 - 10.1145/3295750.3298937
DO - 10.1145/3295750.3298937
M3 - Conference contribution
AN - SCOPUS:85063144775
T3 - CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
SP - 203
EP - 212
BT - CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
PB - Association for Computing Machinery, Inc
Y2 - 10 March 2019 through 14 March 2019
ER -