Topic search filters: a systematic scoping review
Background Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of s...
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Published in | Health information and libraries journal Vol. 36; no. 1; pp. 4 - 40 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Wiley Subscription Services, Inc
01.03.2019
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Subjects | |
Online Access | Get full text |
ISSN | 1471-1834 1471-1842 1471-1842 |
DOI | 10.1111/hir.12244 |
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Abstract | Background
Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of subject foci remain unknown.
Objectives
This systematic scoping review aims to identify and describe available experimentally developed topic search filters.
Methods
Reports on topic search filter development (1990‐) were sought using grey literature sources and 15 databases. Reports describing the conception and prospective development of a database‐specific topic search and including an objectively measured estimate of its performance (‘sensitivity’) were included.
Results
Fifty‐four reports met inclusion criteria. Data were extracted and thematically synthesised to describe the characteristics of 58 topic search filters.
Discussion
Topic search filters are proliferating and cover a wide range of subjects. Filter reports, however, often lack clear definitions of concepts and topic scope to guide users. Without standardised terminology, filters are challenging to find. Information specialists may benefit from a centralised topic filter repository and appraisal checklists to facilitate quality assessment.
Conclusion
Findings will help information specialists identify existing topic search filters and assist filter developers to build on current knowledge in the field. |
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AbstractList | Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of subject foci remain unknown.BACKGROUNDSearching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of subject foci remain unknown.This systematic scoping review aims to identify and describe available experimentally developed topic search filters.OBJECTIVESThis systematic scoping review aims to identify and describe available experimentally developed topic search filters.Reports on topic search filter development (1990-) were sought using grey literature sources and 15 databases. Reports describing the conception and prospective development of a database-specific topic search and including an objectively measured estimate of its performance ('sensitivity') were included.METHODSReports on topic search filter development (1990-) were sought using grey literature sources and 15 databases. Reports describing the conception and prospective development of a database-specific topic search and including an objectively measured estimate of its performance ('sensitivity') were included.Fifty-four reports met inclusion criteria. Data were extracted and thematically synthesised to describe the characteristics of 58 topic search filters.RESULTSFifty-four reports met inclusion criteria. Data were extracted and thematically synthesised to describe the characteristics of 58 topic search filters.Topic search filters are proliferating and cover a wide range of subjects. Filter reports, however, often lack clear definitions of concepts and topic scope to guide users. Without standardised terminology, filters are challenging to find. Information specialists may benefit from a centralised topic filter repository and appraisal checklists to facilitate quality assessment.DISCUSSIONTopic search filters are proliferating and cover a wide range of subjects. Filter reports, however, often lack clear definitions of concepts and topic scope to guide users. Without standardised terminology, filters are challenging to find. Information specialists may benefit from a centralised topic filter repository and appraisal checklists to facilitate quality assessment.Findings will help information specialists identify existing topic search filters and assist filter developers to build on current knowledge in the field.CONCLUSIONFindings will help information specialists identify existing topic search filters and assist filter developers to build on current knowledge in the field. Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of subject foci remain unknown. This systematic scoping review aims to identify and describe available experimentally developed topic search filters. Reports on topic search filter development (1990-) were sought using grey literature sources and 15 databases. Reports describing the conception and prospective development of a database-specific topic search and including an objectively measured estimate of its performance ('sensitivity') were included. Fifty-four reports met inclusion criteria. Data were extracted and thematically synthesised to describe the characteristics of 58 topic search filters. Topic search filters are proliferating and cover a wide range of subjects. Filter reports, however, often lack clear definitions of concepts and topic scope to guide users. Without standardised terminology, filters are challenging to find. Information specialists may benefit from a centralised topic filter repository and appraisal checklists to facilitate quality assessment. Findings will help information specialists identify existing topic search filters and assist filter developers to build on current knowledge in the field. BackgroundSearching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of subject foci remain unknown.ObjectivesThis systematic scoping review aims to identify and describe available experimentally developed topic search filters.MethodsReports on topic search filter development (1990‐) were sought using grey literature sources and 15 databases. Reports describing the conception and prospective development of a database‐specific topic search and including an objectively measured estimate of its performance (‘sensitivity’) were included.ResultsFifty‐four reports met inclusion criteria. Data were extracted and thematically synthesised to describe the characteristics of 58 topic search filters.DiscussionTopic search filters are proliferating and cover a wide range of subjects. Filter reports, however, often lack clear definitions of concepts and topic scope to guide users. Without standardised terminology, filters are challenging to find. Information specialists may benefit from a centralised topic filter repository and appraisal checklists to facilitate quality assessment.ConclusionFindings will help information specialists identify existing topic search filters and assist filter developers to build on current knowledge in the field. Background Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of subject foci remain unknown. Objectives This systematic scoping review aims to identify and describe available experimentally developed topic search filters. Methods Reports on topic search filter development (1990‐) were sought using grey literature sources and 15 databases. Reports describing the conception and prospective development of a database‐specific topic search and including an objectively measured estimate of its performance (‘sensitivity’) were included. Results Fifty‐four reports met inclusion criteria. Data were extracted and thematically synthesised to describe the characteristics of 58 topic search filters. Discussion Topic search filters are proliferating and cover a wide range of subjects. Filter reports, however, often lack clear definitions of concepts and topic scope to guide users. Without standardised terminology, filters are challenging to find. Information specialists may benefit from a centralised topic filter repository and appraisal checklists to facilitate quality assessment. Conclusion Findings will help information specialists identify existing topic search filters and assist filter developers to build on current knowledge in the field. |
Author | May, Nikki Sladek, Ruth M. Hammond, Sue Damarell, Raechel A. Tieman, Jennifer J. |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30578606$$D View this record in MEDLINE/PubMed |
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Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack... Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity.... BackgroundSearching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional... |
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SubjectTerms | bibliographic databases Databases, Bibliographic Filtering software Humans Identification methods Information retrieval Information Services Information Storage and Retrieval literature searching precision Quality assessment recall review scoping Search Engine - methods Searches Searching Systematic review Terminology |
Title | Topic search filters: a systematic scoping review |
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