2007
DOI: 10.1007/s11192-007-0101-0
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Standardizing formats of corporate source data

Abstract: This paper describe an approach for improving the data quality of corporate sources when databases are used for bibliometric purposes. Research management relies on bibliographic databases and citation index systems as analytical tools, yet the raw resources for bibliometric studies are plagued by a lack of consistency in fied formatting for institution data. The present contribution puts forth a Natural Language Processing (NLP)-oriented method for the identification of the structures guiding corporate data a… Show more

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Cited by 23 publications
(16 citation statements)
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References 44 publications
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“…Here, with the content controlled, it seems that many of the respondents still have reacted positively to the formatting element. Similar gains have been suggested in other areas of communication when standardized formats have been adopted (e.g., see Docherty & Smith, 1999;Galvez & Moya-Anegon, 2007;Hartley, 1999;Piternick, 1982).…”
Section: Discussionsupporting
confidence: 67%
“…Here, with the content controlled, it seems that many of the respondents still have reacted positively to the formatting element. Similar gains have been suggested in other areas of communication when standardized formats have been adopted (e.g., see Docherty & Smith, 1999;Galvez & Moya-Anegon, 2007;Hartley, 1999;Piternick, 1982).…”
Section: Discussionsupporting
confidence: 67%
“…These studies did not aim to determine spelling mistakes for organization names (Galvez & Moya-Anegón 2006a;Galvez & Moya-Anegón 2007a). On the other hand, the study on standardizing author names was designed to find different versions of an author name (Galvez & Moya-Anegón 2007b).…”
Section: Previous Studies About Data Accuracy In Citation Indexesmentioning
confidence: 99%
“…To obviate these difficulties, we used ad hoc software that avoids homonymy by combining author and institution and synonymy by combining author and paper, while (Gálvez & Moya-Anegón, 2006;Gálvez & Moya-Anegón, 2007b) corrected the lack of precision in institutional denominations.…”
Section: Data Refinementmentioning
confidence: 99%