Measuring researchers’ use of scholarly information through social bookmarking data: A case study of BibSonomy
This paper explores the possibility of using data from social bookmarking services to measure the use of information by academic researchers. Social bookmarking data can be used to augment participative methods (e.g. interviews and surveys) and other, non-participative methods (e.g. citation analysi...
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Published in | Journal of information science Vol. 38; no. 3; pp. 297 - 308 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
London, England
SAGE Publications
01.06.2012
Sage Publications Bowker-Saur Ltd |
Subjects | |
Online Access | Get full text |
ISSN | 0165-5515 1741-6485 |
DOI | 10.1177/0165551512438353 |
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Abstract | This paper explores the possibility of using data from social bookmarking services to measure the use of information by academic researchers. Social bookmarking data can be used to augment participative methods (e.g. interviews and surveys) and other, non-participative methods (e.g. citation analysis and transaction logs) to measure the use of scholarly information. We use BibSonomy, a free resource-sharing system, as a case study. Results show that published journal articles are by far the most popular type of source bookmarked, followed by conference proceedings and books. Commercial journal publisher platforms are the most popular type of information resource bookmarked, followed by websites, records in databases and digital repositories. Usage of open access information resources is low in comparison with toll access journals. In the case of open access repositories, there is a marked preference for the use of subject-based repositories over institutional repositories. The results are consistent with those observed in related studies based on surveys and citation analysis, confirming the possible use of bookmarking data in studies of information behaviour in academic settings. The main advantages of using social bookmarking data are that is an unobtrusive approach, it captures the reading habits of researchers who are not necessarily authors, and data are readily available. The main limitation is that a significant amount of human resources is required in cleaning and standardizing the data. |
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AbstractList | This paper explores the possibility of using data from social bookmarking services to measure the use of information by academic researchers. Social bookmarking data can be used to augment participative methods (e.g. interviews and surveys) and other, non-participative methods (e.g. citation analysis and transaction logs) to measure the use of scholarly information. We use BibSonomy, a free resource-sharing system, as a case study. Results show that published journal articles are by far the most popular type of source bookmarked, followed by conference proceedings and books. Commercial journal publisher platforms are the most popular type of information resource bookmarked, followed by websites, records in databases and digital repositories. Usage of open access information resources is low in comparison with toll access journals. In the case of open access repositories, there is a marked preference for the use of subject-based repositories over institutional repositories. The results are consistent with those observed in related studies based on surveys and citation analysis, confirming the possible use of bookmarking data in studies of information behaviour in academic settings. The main advantages of using social bookmarking data are that is an unobtrusive approach, it captures the reading habits of researchers who are not necessarily authors, and data are readily available. The main limitation is that a significant amount of human resources is required in cleaning and standardizing the data. This paper explores the possibility of using data from social bookmarking services to measure the use of information by academic researchers. Social bookmarking data can be used to augment participative methods (e.g. interviews and surveys) and other, non-participative methods (e.g. citation analysis and transaction logs) to measure the use of scholarly information. We use BibSonomy, a free resource-sharing system, as a case study. Results show that published journal articles are by far the most popular type of source bookmarked, followed by conference proceedings and books. Commercial journal publisher platforms are the most popular type of information resource bookmarked, followed by websites, records in databases and digital repositories. Usage of open access information resources is low in comparison with toll access journals. In the case of open access repositories, there is a marked preference for the use of subject-based repositories over institutional repositories. The results are consistent with those observed in related studies based on surveys and citation analysis, confirming the possible use of bookmarking data in studies of information behaviour in academic settings. The main advantages of using social bookmarking data are that is an unobtrusive approach, it captures the reading habits of researchers who are not necessarily authors, and data are readily available. The main limitation is that a significant amount of human resources is required in cleaning and standardizing the data. [Reprinted by permission of Sage Publications, Ltd., copyright holder.] This paper explores the possibility of using data from social bookmarking services to measure the use of information by academic researchers. Social bookmarking data can be used to augment participative methods (e.g. interviews and surveys) and other, non-participative methods (e.g. citation analysis and transaction logs) to measure the use of scholarly information. We use BibSonomy, a free resource-sharing system, as a case study. Results show that published journal articles are by far the most popular type of source bookmarked, followed by conference proceedings and books. Commercial journal publisher platforms are the most popular type of information resource bookmarked, followed by websites, records in databases and digital repositories. Usage of open access information resources is low in comparison with toll access journals. In the case of open access repositories, there is a marked preference for the use of subject-based repositories over institutional repositories. The results are consistent with those observed in related studies based on surveys and citation analysis, confirming the possible use of bookmarking data in studies of information behaviour in academic settings. The main advantages of using social bookmarking data are that is an unobtrusive approach, it captures the reading habits of researchers who are not necessarily authors, and data are readily available. The main limitation is that a significant amount of human resources is required in cleaning and standardizing the data. [PUBLICATION ABSTRACT] |
Author | Fry, Jenny Borrego, Ángel |
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Cites_doi | 10.1016/j.ipm.2010.07.002 10.1177/0165551506065782 10.2218/ijdc.v5i1.141 10.1002/asi.21307 10.1016/j.lisr.2010.02.002 10.1087/2009208 10.1086/603337 10.1371/journal.pone.0011273 10.1108/00012530910932267 10.1177/0165551510371883 10.1007/BF02457980 10.1002/asi.10384 10.1007/s00778-010-0208-4 10.1045/november2006-organ 10.5860/crl-71r1 10.1016/j.lisr.2010.04.006 |
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SubjectTerms | Bibliometria Bibliometrics Case studies Citation analysis Conferences Exact sciences and technology Informació científica i tècnica Information and communication sciences Information processing and retrieval Information resources Information retrieval. Man machine relationship Information science Information science. Documentation Information seeking behavior Information sources Information systems Institutional repositories Logs Object repository Open access publishing Platforms Repositories Research process. Evaluation Researchers Scholarly communication Science and technical information Sciences and techniques of general use Social bookmarking Studies Surveys User behaviour |
Title | Measuring researchers’ use of scholarly information through social bookmarking data: A case study of BibSonomy |
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