69,534 research outputs found

    Healthy People 2020 Structured Evidence Queries for PubMed: Practice Informed by Research

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    Objective: Healthy People 2020 is a set of objectives with 10-year targets to guide national health promotion and disease prevention efforts. Public health professionals may have limited time to identify relevant research articles on public health strategies. NLM recognized the need to reduce the time and increase the precision of finding research to support evidence-based actions to achieve HP2020 objectives. Methods: NLM collaborated with the HHS Office of Disease Prevention and Health Promotion to develop pre-formulated search strategies ā”€ structured evidence queries (SEQs) ā”€ of PubMed to make research evidence related to HP2020 objectives easier to find. The queries were developed by librarians, working in consultation with subject matter experts in public health. The PubMed search strategies are organized by HP2020 topic areas on the HP2020 SEQ website that is supported by NLM with assistance of the collaboration, Partners in Information Access for the Public Health Workforce. The website also provides search queries for the Healthy People 2020 Leading Health Indicators, a subset of high-priority health issues that represent significant threats to the publicā€™s health. Information to help users learn more about PubMed, obtain full-text copies of articles, and find additional resources for public health practice are provided on the site. Results: The Healthy People 2020 Structured Evidence Queries website, http://phpartners.org/hp2020, launched in June 2011. As of the end of 2012, structured evidence queries were formulated for 268 health objectives in 24 Healthy People 2020 topic areas, with the expectation of full coverage by May 2013. The SEQs are also integrated with the HHS HealthyPeople.gov website. The PubMed search strategies were designed to return a manageable number of relevant citations for busy public health professionals to review. Users retrieve the most recent research articles indexed for MEDLINE on Healthy People objectives each time a SEQ is selected and run in PubMed. The search strategies can be modified to address particular practice and research needs. The website includes FAQs on how to modify and save searches, obtain copies of articles, and receive assistance from the National Network of Libraries of Medicine. Additional resources on public health topics are available from the Partners in Information Access for the Public Health Workforce website, http://PHPartners.org. Conclusions: The HP2020 SEQs provide peer-reviewed research evidence to support national objectives for improving the health of all Americans. The resource is the outcome of an effective partnership between librarians, public health professionals, and subject experts

    Sometimes the Internet reads the question wrong: childrenā€™s search strategies & difficulties

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    When children search for information on a given topic, how do they go about searching for and retrieving information? What can their information seeking strategies tell us about the development of search interfaces for children's digital libraries, search engines and information repositories? We interviewed New Zealand (NZ) school children to seek insights into how they are conducting information searches during their education

    Investigating the Effects of Exploratory Semantic Search on the Use of a Museum Archive

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    Recently, there has been a great deal of interest in how new technologies can support the more effective use of online museum content. Two particularly relevant developments are exploratory search and semantic web technologies. Exploratory search tools support a more undirected and serendipitous interaction with the content. Semantic web technology, when applied in this context, allows the exploitation of metadata and ontologies to provide more intelligent support for user interaction. Bletchley Park Text is a museum web application supporting a semantic driven, exploratory approach to the search and navigation of digital museum resources. Bletchley Park Text uses semantics to organise selected content (i.e. stories) into a number of composite pages that illustrate conceptual patterns in the content, and from which the content itself can be accessed. The use made of Bletchley Park Text over an eight month period was analysed in order to understand the kinds of trajectories across the available resources that users could make with such a system. The results identified two distinct strategies of exploratory search. A risky strategy was characterised as incorporating: conceptual jumps between successive queries, a larger number of shorter queries and the use of the stories themselves to acclimatise to a new set of search results. A cautious strategy was characterised as incorporating: small conceptual shifts between queries, a smaller number of longer queries and the use of composite pages to acclimatise to a set of new search results. These findings have implications for the intelligent scaffolding of exploratory search

    Nowcasting with Google Trends : a keyword selection method

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    Search engines, such as Google, keep a log of searches entered into their websites. Google makes this data publicly available with Google Trends in the form of aggregate weekly search term volume. Aggregate search volume has been shown to be able to nowcast (i.e. compute real-time assessment of current activity) a variety of variables such as influenza outbreaks, financial market fluctuations, unemployment and retail sales. Although identifying appropriate keywords in Google Trends is an essential element of using search data, the recurring difficulty identified in the literature is the lack of a technique to do so. Given this, the main goal of this paper is to put forward a method (the "backward induction method") of identifying and extracting keywords from Google Trends relevant to economic variables

    Children searching information on the Internet: Performance on children's interfaces compared to Google

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    Children frequently make use of the Internet to search for information. However, research shows that children experience many problems with searching and browsing the web. The last decade numerous search environments have been developed, especially for children. Do these search interfaces support children in effective information-seeking? And do these interfaces add value to todayā€™s popular search engines, such as Google? In this explorative study, we compared childrenā€™s search performance on four interfaces designed for children, with their performance on Google. We found that the children did not perform better on these interfaces than on Google. This study also uncovered several problems that children experienced with these search interfaces, which can be of use for designers of future search interfaces for children

    Is Kelly Shifting Under Googleā€™s Feet? New Ninth Circuit Impact on the Google Library Project Litigation

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    The Google Library Project presents what many consider to be the perfect fair-use problem. The legal debate surrounding the Library Project has centered on the Ninth Circuitā€™s Kelly v. Arriba Soft. Yet recent case law presents new arguments for both sides of the Library Project litigation. This iBrief analyzes two Ninth Circuit district court decisions on fair use, Field v. Google, Inc. and Perfect 10 v. Google, Inc., and their impact on the Library Project litigation
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