![]() ![]() View the Ovid Search Fields Tutorial (3:23) for a demo. The description and code of all search fields in Embase can be found in the tab 'Search Fields'. ![]() ![]() Looking for articles on a specific drug or medical device?Įmbase has extra field codes for those items, for example.To find 'quality life', you should add this synonym or use the ADJn operator ( See box: Boolean operators). finds articles with the phrase 'life quality' (words in this exact order) in the title. finds articles with the word influenza in the title, abstract and/or author keywords.Įxample: life quality.ti. As of 15-09-2021 this has been changed to. To search for a word or phrase in a specified field, type in the word or phrase followed by the designated field code. These fields contain information on the content of an article. Because it is not possible to search the full text articles, the most important fields to search in are: title, abstract and author keywords. ![]() This network is most strikingly depicted in the linked-open-data cloud.You can indicate in which fields (title, author, journal, etc.) you would like to search for a word. These features enable data from different sources to be connected and queried, forming a web of data. These are the distinguishing characteristics of linked-open-data. ★★★★★ linking your data to other data to provide context - ★★★★ using identifiers to denote things, so that people can talk about your resources unambiguously But what about the final 2 stars? On it’s own, CSV doesn’t really help you to achieve those: ★ you can publish CSV on the web (with an open license) It’s an incredibly simple way to reach the third star of the 5 star deployment scheme for open data: Despite these problems, CSV has become the lingua franca of open data, and not without good reason. Typically this will be to parse dates or give the columns syntactically-valid variable names. There are clever tools for doing this guesswork for you, but the majority of programs that read in CSV files need to devote a few lines to interpreting the data. “I’ve not seen any letters in this column, only numbers, and no decimal points so it’s probably an integer variable”. You have to read a few lines of a file and take a guess from these initial rows - i.e. It’s also not possible to say in advance how the fields in CSV file ought to be interpreted - i.e. That’s not to mention differences in encoding that plague any text format. These different dialects of CSV take different approaches to quoting fields and escaping special characters. Unlike Excel’s proprietary XLS format, the humble CSV is also easy to use programmatically you don’t even really need to use a library.Īlthough the IETF published a standard - RFC4180 - for CSV in 2005, there are still a wide range of interpretations to be found in the wild. Practically everyone has access to a spreadsheet program - like Microsoft Excel - to read and write CSV files. Its enduring popularity is no doubt helped by the fact that CSV files are near universally accessible. Historically, faced by so much data being published in PDFs, the CSV format was a byword for machine-readability. The CSV format has proven enormously popular in the open data world. ![]()
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