Using searchRxiv for depositing evidence synthesis searches

Librarians build detailed search strategies for evidence syntheses enabling the comprehensive retrieval of studies while taking care that no relevant studies are missed. However, this work may be wasted or lost if the review does not reach publication or if the search strategies are not included with the publication. Further, search strategies that are stored in article appendices may not be preserved in the long-term. To address these problems, we started depositing our evidence syntheses search strategies that we developed to a repository called searchRxiv (pronounced “search archive”); an open repository established by CABI Digital Library to support information professionals in reporting, sharing, re-using and preserving their searches. In this presentation, we will share our experience with searchRxiv, including the advantages and challenges of sharing search strategies as individual research products separate from reviews. For each challenge, we will share our lessons learned and solutions developed. We will also share pros and cons to using searchRxiv as opposed to a traditional institutional repository. Since 2022, we have been able to openly share 59 search strategies from 13 evidence syntheses using searchRxiv. Overall, we find searchRxiv to be a scalable approach for highlighting the unique contributions of librarians to evidence syntheses beyond publications, and for enabling re-use and reproducibility of our searches.

Institutions

Publication Details

Journal
IUScholarWorks (Indiana University)
Published
2024-11-14
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using searchRxiv for depositing evidence synthesis searches

IUScholarWorks (Indiana University)
Meta-analysis and systematic reviews
article

Using searchRxiv for depositing evidence synthesis searches

article en

Abstract

Librarians build detailed search strategies for evidence syntheses enabling the comprehensive retrieval of studies while taking care that no relevant studies are missed. However, this work may be wasted or lost if the review does not reach publication or if the search strategies are not included with the publication. Further, search strategies that are stored in article appendices may not be preserved in the long-term. To address these problems, we started depositing our evidence syntheses search strategies that we developed to a repository called searchRxiv (pronounced “search archive”); an open repository established by CABI Digital Library to support information professionals in reporting, sharing, re-using and preserving their searches. In this presentation, we will share our experience with searchRxiv, including the advantages and challenges of sharing search strategies as individual research products separate from reviews. For each challenge, we will share our lessons learned and solutions developed. We will also share pros and cons to using searchRxiv as opposed to a traditional institutional repository. Since 2022, we have been able to openly share 59 search strategies from 13 evidence syntheses using searchRxiv. Overall, we find searchRxiv to be a scalable approach for highlighting the unique contributions of librarians to evidence syntheses beyond publications, and for enabling re-use and reproducibility of our searches.

IUScholarWorks (Indiana University)
China Communications Construction Company (China) (CN)
Quality Education
Openalex Percentile: Top 40%
Meta-analysis and systematic reviews
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.