{"title":"The excitement of Google Scholar, the worry of Google Print.","authors":"Marcus A Banks","doi":"10.1186/1742-5581-2-2","DOIUrl":"https://doi.org/10.1186/1742-5581-2-2","url":null,"abstract":"<p><p>In late 2004 Google announced two major projects, the unveiling of Google Scholar and a major expansion of the Google Print digitization program. Both projects have generated discussion within the library and research communities, and Google Print has received significant media attention.This commentary describes exciting educational possibilities stimulated by Google Scholar, and argues for caution regarding the Google Print project.</p>","PeriodicalId":87058,"journal":{"name":"Biomedical digital libraries","volume":"2 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2005-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1742-5581-2-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25018625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do we need a Unique Scientist ID for publications in biomedicine?","authors":"Andreas Bohne-Lang, Elke Lang","doi":"10.1186/1742-5581-2-1","DOIUrl":"https://doi.org/10.1186/1742-5581-2-1","url":null,"abstract":"<p><p>BACKGROUND: The PubMed database contains nearly 15 million references from more than 4,800 biomedical journals. In general, authors of scientific articles are addressed by their last name and forename initial. DISCUSSION: In general, names can be too common and not unique enough to be search criteria. Today, Ph.D. students, other researchers and women publish scientific work. A person may not only have one name but several names and publish under each name. A Unique Scientist ID could help to address people in peer-to-peer (P2P) networks. As a starting point, perhaps PubMed could generate and manage such a scientist ID. SUMMARY: A Unique Scientist ID would improve knowledge management in science. Unfortunately in some of the publications, and then within the online databases, only one letter abbreviates the author's forename. A common name with only one initial could retrieve pertinent citations, but include many false drops (retrieval matching searched criteria but indisputably irrelevant).</p>","PeriodicalId":87058,"journal":{"name":"Biomedical digital libraries","volume":"2 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2005-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1742-5581-2-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25018624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using GIS to establish a public library consumer health collection.","authors":"Elizabeth M Larue","doi":"10.1186/1742-5581-1-3","DOIUrl":"https://doi.org/10.1186/1742-5581-1-3","url":null,"abstract":"<p><p>BACKGROUND: Learning the exact demographic characteristics of a neighborhood in which a public library serves, assists the collection development librarian in building an appropriate collection. Gathering that demographic information can be a lengthy process, and then formatting the information for the neighborhood in question becomes arduous.As society ages and the methods for health care evolve, people may take charge of their own health. With this prospectus, public libraries should consider creating a consumer health collection to assist the public in their health care needs. Using neighborhood demographic information can inform the collection development librarians as to the dominant age groups, sex, and races within the neighborhood. With this information, appropriate consumer health materials may be assembled in the public library. METHODS: In order to visualize the demographics of a neighborhood, the computer program ArcView GIS (geographic information systems) was used to create maps for specified areas. The neighborhood data was taken from the U.S. Census Department's annual census and library addresses were accumulated through a free database. After downloading the census block information from http://www.census.gov/geo/www/tiger/ the data was manipulated with ArcView GIS and queried to produce maps displaying the requested neighborhood demographics to view in respect to libraries. RESULTS: ArcView GIS produced maps displaying public libraries and requested demographics. After viewing the maps the collection development librarian can see exactly what populations are served by the library and adjust the library's collection accordingly. CONCLUSIONS: ArcView GIS can be used to produce maps displaying the communities that libraries serve, spot boundaries, be it \"man-made or natural,\" that exist prohibiting customer service, and assist collection development librarians in justifying their purchases for a dedicated consumer health collection or resources in general.</p>","PeriodicalId":87058,"journal":{"name":"Biomedical digital libraries","volume":"1 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2004-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1742-5581-1-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24819895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sherrilynne S Fuller, Debra Revere, Paul F Bugni, George M Martin
{"title":"A knowledgebase system to enhance scientific discovery: Telemakus.","authors":"Sherrilynne S Fuller, Debra Revere, Paul F Bugni, George M Martin","doi":"10.1186/1742-5581-1-2","DOIUrl":"10.1186/1742-5581-1-2","url":null,"abstract":"<p><strong>Background: </strong>With the rapid expansion of scientific research, the ability to effectively find or integrate new domain knowledge in the sciences is proving increasingly difficult. Efforts to improve and speed up scientific discovery are being explored on a number of fronts. However, much of this work is based on traditional search and retrieval approaches and the bibliographic citation presentation format remains unchanged.</p><p><strong>Methods: </strong>Case study.</p><p><strong>Results: </strong>The Telemakus KnowledgeBase System provides flexible new tools for creating knowledgebases to facilitate retrieval and review of scientific research reports. In formalizing the representation of the research methods and results of scientific reports, Telemakus offers a potential strategy to enhance the scientific discovery process. While other research has demonstrated that aggregating and analyzing research findings across domains augments knowledge discovery, the Telemakus system is unique in combining document surrogates with interactive concept maps of linked relationships across groups of research reports.</p><p><strong>Conclusion: </strong>Based on how scientists conduct research and read the literature, the Telemakus KnowledgeBase System brings together three innovations in analyzing, displaying and summarizing research reports across a domain: (1) research report schema, a document surrogate of extracted research methods and findings presented in a consistent and structured schema format which mimics the research process itself and provides a high-level surrogate to facilitate searching and rapid review of retrieved documents; (2) research findings, used to index the documents, allowing searchers to request, for example, research studies which have studied the relationship between neoplasms and vitamin E; and (3) visual exploration interface of linked relationships for interactive querying of research findings across the knowledgebase and graphical displays of what is known as well as, through gaps in the map, what is yet to be tested. The rationale and system architecture are described and plans for the future are discussed.</p>","PeriodicalId":87058,"journal":{"name":"Biomedical digital libraries","volume":"1 ","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2004-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC524025/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24780590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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