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Efficient Title Matching and Field Editing Process

Learn how to match, edit, and process records with titles efficiently. Follow steps to clean, truncate, and compress data for improved file management. Ensure titles have no more than 5 characters.

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Efficient Title Matching and Field Editing Process

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  1. Matching records with titles

  2. Make an out-file based on the title field Next, run Edit out-files/Keep only 0-9 and A to Z characters

  3. The atz-file now only have a to z characters.Next, step is to truncate the words to a maximum length:1. select atz-file and run Edit outfiles/decompress blank separated out-file2. type for example 5 in the Min number box3. select the nnu-file and run Edit out-files/Keep only first n characters4. select the chr-file and run Edit out-files/Compress outfile (1 row per field) and then answer no for semicolon separation …

  4. …and now the nou file has titles with words no longer than 5 characters

  5. Let’s assume we wish to match the truncated titles with the full titles:1. Select the atz-file and run Edit out-files/Swap two columns2. Be sure to have the swp-file in box “Type new file name here” and then select the nou-file (with truncated titles)3. Run Add data classify/Match abbreviated words in full string and answer no to finding all matches4. The cll-file has the full titles to the right, and of course we get 100 percent hits since we match the same titles.

  6. In a more realistic setting you may need to match titles from two different sets, for example Web of Science titles with those of a publication database of an university. Then you will probably not find all titles from one set represented in the other. The not-file will contain missing titles in the truncated form.

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