Abstract

BackgroundMany online resources for the life sciences have been developed and introduced in peer-reviewed papers recently, ranging from databases and web applications to data-analysis software. Some have been introduced in special journal issues or websites with a search function, but others remain scattered throughout the Internet and in the published literature. The searchable resources on these sites are collected and maintained manually and are therefore of higher quality than automatically updated sites, but also require more time and effort.DescriptionWe developed an online resource search system called OReFiL to address these issues. We developed a crawler to gather all of the web pages whose URLs appear in MEDLINE abstracts and full-text papers on the BioMed Central open-access journals. The URLs were extracted using regular expressions and rules based on our heuristic knowledge. We then indexed the online resources to facilitate their retrieval and comparison by researchers. Because every online resource has at least one PubMed ID, we can easily acquire its summary with Medical Subject Headings (MeSH) terms and confirm its credibility through reference to the corresponding PubMed entry. In addition, because OReFiL automatically extracts URLs and updates the index, minimal time and effort is needed to maintain the system.ConclusionWe developed OReFiL, a search system for online life science resources, which is freely available. The system's distinctive features include the ability to return up-to-date query-relevant online resources introduced in peer-reviewed papers; the ability to search using free words, MeSH terms, or author names; easy verification of each hit following links to the corresponding PubMed entry or to papers citing the URL through the search systems of BioMed Central, Scirus, HighWire Press, or Google Scholar; and quick confirmation of the existence of an online resource web page.

Highlights

  • Many online resources for the life sciences have been developed and introduced in peer-reviewed papers recently, ranging from databases and web applications to data-analysis software

  • The system's distinctive features include the ability to return up-to-date queryrelevant online resources introduced in peer-reviewed papers; the ability to search using free words, Medical Subject Headings (MeSH) terms, or author names; easy verification of each hit following links to the corresponding PubMed entry or to papers citing the URL through the search systems of BioMed Central, Scirus, HighWire Press, or Google Scholar; and quick confirmation of the existence of an online resource web page

  • Some have been collected on web pages [[2,3], etc] or in special journal issues (e.g., Nucleic Acids Research (NAR) Database Issues [4]), others remain scattered throughout the Internet and within a vast amount of literature [5]

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Summary

Conclusion

We developed OReFiL, a search system for online life science resources that links related web pages to MEDLINE entries. It provides a flexible search using a language- and a Boolean- models, and enables users to search by MeSH terms using its conceptual hierarchy, author names, and free words. It offers an easy search refinement function. YY proposed and implemented the system and TT supervised the project and helped to draft the manuscript. All authors read and approved the final manuscript. Health Sciences Library System, University of Pittsburgh [http://www.hsls.pitt.edu/guides/genetics/obrc]

Background
Utility and Discussion
23. Open Access journals in the ISI Citation Databases
Wren JD
Full Text
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