OvidSPAgriculture_20110323.ppt.ppt

* Say: some other examples – searching for rice (oryza) as an organism and hybrids in descriptors and China as a country . Elephant Training via mapping and keywords. * Say: This database is produced by the Food and Agriculture part of the UN, it covers agriculture in developed and underdeveloped countries and is best for ROW information (though it’s not as large or diverse as CAB). * Say: some examples looking at mapping to the thesaurus or broader searching in any field. * Say: here is a sample record, notice that the subjects are machine generated or indexer assigned, and that he database is multilingual. Machine generated indexes look at the way that subjects cluster together (frequency of occurrence). * Say: The Agricola database comes from the National Agricultural Library of the US, one of the principal libraries in America. It has recently refocused on it’s own publications and subjects. There is guaranteed to be no overlap between AGRICOLA and AGRIS. * Say: Some examples from this database. * Say: Biosis is a detailed Life Sciences research database, you have access to a backfile within Ovid. * Say: some examples, in general I would not use mapping in this database. * Say: searching across groups of databases in a single step, allows you to gather groups or related references and to deduplicate and to set up alerts. * Say: Here is a search across all the databases, note that you can show details by looking at retrieval by database or segment from within Search History * Say: select any documents you want to output by clicking the tickboxes on the left. Then choose the output options on the left. Links appear on the right. CAB Abstract Full Text is offered as a PDF, Ovid Full Text is HTML or PDF, External Full Text varies. * Say: Choosing an output choice takes you to the next screen offering more details. * Say: these links use the Links@Ovid database to add links into the user display, this is set up by the administrator. * Say: for more information Mappin