Informetric studies using databases: Opportunities and challenges

Hood, William W.; Wilson, Concepción S.

doi:10.1023/b:scie.0000006882.47115.c6

Cited by 77 publications

(56 citation statements)

References 46 publications

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“…Many variations occur with respect to the names of organizations, in the analysis of addresses in scientific publications, and this phenomenon has serious consequences for the availability of information (DE BRUIN & MOED, 1990), as a result the need to standardize corporate source data will be crucial in performance measurement (HOOD & WILSON, 2003). While databases provide the raw resources for bibliometric studies, a number of obstacles must be overcome to ensure quality in bibliometric searches, and one major difficulty lies in the lack of consistency among data at the micro-level.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, when these databases are used as potential resources for building scientometric indicators, another series of technical obstacles arises in the combination, or "hyphenation", of databases owing to different standards in abbreviation, spelling and transliteration (BRAUN et al, 1995). The quality control of 324 Scientometrics 69 (2006) data, both within and across databases, is a necessary issue, often addressed yet to date unsolved (SHER et al, 1966;GARFIELD, 1979;1983a, b;WILLIAMS & LANNOM, 1981;PITERNICK, 1982;STEFANIAK, 1987;MOED & VRIENS, 1989;PAO, 1989;RICE et al, 1989;CRONIN & SNYDER, 1997;INGWERSEN & CHRISTENSEN, 1997;GILES et al, 1998;HOOD & WILSON, 2003). In a secondary use of these databases, in bibliometric analysis, again databases of bibliometric information are created, their construction involving some or all of the following steps: information gathering, information processing, data standardization, and codification.…”

Section: Introductionmentioning

confidence: 99%

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The unification of institutional addresses applying parametrized finite-state graphs (P-FSG)

Gálvez

Anegón

2006

Scientometrics

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We propose a semi-automatic method based on finite-state techniques for the unification of corporate source data, with potential applications for bibliometric purposes. Bibliographic and citation databases have a well-known problem of inconsistency in the data at micro-level and meso-level, affecting the quality of bibliometric searches and the evaluation of research performance. The unification method applies parametrized finite-state graphs (P-FSG) and involves three stages: (1) breaking of corporate source data in independent units of analysis; (2) creation of binary matrices; and (3) drawing finite-state graphs. This procedure was tested on university departmental addresses, downloaded from the ISI Web of Science. Evaluation was in terms of an adaptation of the measures of precision and recall. The results demonstrate the usefulness of this approach, though it requires some human processing.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The unification of institutional addresses applying parametrized finite-state graphs (P-FSG)

Gálvez

Anegón

2006

Scientometrics

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“…Changing names have been determined as one of the main problems for organizations (Hood & Wilson 2003). On the other hand, non-standardization of university names has created problems regarding information retrieval and the solution is well-structured unification (De Bruin & Moed 1990).…”

Section: Previous Studies About Data Accuracy In Citation Indexesmentioning

confidence: 99%

Standardization problem of author affiliations in citation indexes

2013

Scientometrics

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Academic effectiveness of universities is measured with the number of publications and citations.However, accessing all the publications of a university reveals a challenge related to the mistakes and standardization problems in citation indexes. The main aim of this study is to seek a solution for the unstandardized addresses and publication loss of universities with regard to this problem. To achieve this, all Turkey-addressed publications published between 1928 and 2009 were analyzed and evaluated deeply. The results show that the main mistakes are based on character or spelling, indexing and translation errors.Mentioned errors effect international visibility of universities negatively, make bibliometric studies based on affiliations unreliable and reveal incorrect university rankings. To inhibit these negative effects, an algorithm was created with finite state technique by using Nooj Transducer. Frequently used 47 different affiliation variations for Hacettepe University apart from "Hacettepe Univ" and "Univ Hacettepe" were determined by the help of finite state grammar graphs. In conclusion, this study presents some reasons of the inconsistencies for university rankings. It is suggested that, mistakes and standardization issues should be considered by librarians, authors, editors, policy makers and managers to be able to solve these problems.

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“…Another important issue that should not be neglected is data quality. A comprehensive review of problems concerning data quality can be found in (Hood/Wilson 2003). There are several publications which emphasize the aspect of data quality for bibliometric analyses e. g. (Fernández et al 1993;van Raan 2005).…”

Section: Related Workmentioning

confidence: 99%

“…A quite recent review article on databases for bibliometric purposes (Hood/Wilson 2003) illustrates this lack of discussion about off-line processing using in-house databases in the bibliometric literature. While there is only a short section about off-line processing and nothing about the construction of in-house databases, the largest part is dedicated to on-line databases and their limitations.…”

Section: Introductionmentioning

confidence: 99%

A relational database for bibliometric analysis

Mallig

2010

Journal of Informetrics

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Informetric studies using databases: Opportunities and challenges

Cited by 77 publications

References 46 publications

The unification of institutional addresses applying parametrized finite-state graphs (P-FSG)

The unification of institutional addresses applying parametrized finite-state graphs (P-FSG)

Standardization problem of author affiliations in citation indexes

A relational database for bibliometric analysis

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