Text and Data Mining for Systematic Reviews: Investigating Trends to Update Collaboration Services
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When discussing project planning for systematic reviews and meta-analyses with faculty and graduate students, librarians sometimes hear wistful inquiries about automated approaches. Systematic reviews (SRs) require management, analysis, and synthesis of large amounts of data, perhaps particularly those including numerous studies with qualitative text-based data. To investigate how text and data mining approaches might be used in SRs to increase project efficiency, the author conducted, and reports on the results of a literature review.