Exploring the emerging intellectual structure of archival studies using text mining: 2001--2004 Export

@article{citeulike:3024624, abstract = {Archival science, like other disciplines, is evolving into more specific interdisciplinary subfields. To determine this intellectual structure of archival science, the text mining method was used. The data were 432 articles from 2001 to 2004, and we produced 43 clusters of documents using the within-group average method in SPSS. Then we generated pathfinder networks of 43 clusters and grouped them into seven subject categories: digital libraries and digital archiving technologies, online resources and finding aids, archives and archivists, legal and political issues, electronic records and technical issues, records and information management, and e-mail and information professionals. Finally, these seven subject categories were merged into three sectors: digital library, archives and RIM (Business). This study describes dynamic change in the 2001--4 research themes from traditional single-subject areas to emerging, complex subject areas. These results also show that research areas in archival sciences have much growth potential and will continue to expand. 10.1177/0165551507086260}, author = {Kim, Heejung and Lee, Jae Y.}, citeulike-article-id = {3024624}, citeulike-linkout-0 = {http://dx.doi.org/10.1177/0165551507086260}, citeulike-linkout-1 = {http://jis.sagepub.com/cgi/content/abstract/34/3/356}, day = {1}, doi = {10.1177/0165551507086260}, journal = {Journal of Information Science}, keywords = {archives}, month = {June}, number = {3}, pages = {356--369}, posted-at = {2008-07-21 15:44:40}, priority = {0}, title = {Exploring the emerging intellectual structure of archival studies using text mining: 2001--2004}, url = {http://dx.doi.org/10.1177/0165551507086260}, volume = {34}, year = {2008} }

TY - JOUR ID - citeulike:3024624 L3 - citeulike-article-id:3024624 N2 - Archival science, like other disciplines, is evolving into more specific interdisciplinary subfields. To determine this intellectual structure of archival science, the text mining method was used. The data were 432 articles from 2001 to 2004, and we produced 43 clusters of documents using the within-group average method in SPSS. Then we generated pathfinder networks of 43 clusters and grouped them into seven subject categories: digital libraries and digital archiving technologies, online resources and finding aids, archives and archivists, legal and political issues, electronic records and technical issues, records and information management, and e-mail and information professionals. Finally, these seven subject categories were merged into three sectors: digital library, archives and RIM (Business). This study describes dynamic change in the 2001--4 research themes from traditional single-subject areas to emerging, complex subject areas. These results also show that research areas in archival sciences have much growth potential and will continue to expand. 10.1177/0165551507086260 IS - 3 JF - Journal of Information Science EP - 369 TI - Exploring the emerging intellectual structure of archival studies using text mining: 2001--2004 VL - 34 SP - 356 KW - archives AU - Kim, Heejung AU - Lee, Jae PY - 2008/06/01/ UR - http://dx.doi.org/10.1177/0165551507086260 ER -