-
Lee, D.J.; Stvilia, B.; Ha, S.; Hahn, D.: ¬The structure and priorities of researchers' scholarly profile maintenance activities : a case of institutional research information management system (2023)
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- Abstract
- Research information management systems (RIMS) have become critical components of information technology infrastructure on university campuses. They are used not just for sharing and promoting faculty research, but also for conducting faculty evaluation and development, facilitating research collaborations, identifying mentors for student projects, and expert consultants for local businesses. This study is one of the first empirical investigations of the structure of researchers' scholarly profile maintenance activities in a nonmandatory institutional RIMS. By analyzing the RIMS's log data, we identified 11 tasks researchers performed when updating their profiles. These tasks were further grouped into three activities: (a) adding publication, (b) enhancing researcher identity, and (c) improving research discoverability. In addition, we found that junior researchers and female researchers were more engaged in maintaining their RIMS profiles than senior researchers and male researchers. The results provide insights for designing profile maintenance action templates for institutional RIMS that are tailored to researchers' characteristics and help enhance researchers' engagement in the curation of their research information. This also suggests that female and junior researchers can serve as early adopters of institutional RIMS.
- Date
- 22. 1.2023 18:43:02
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.2, S.186-204
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Stvilia, B.; Lee, D.J.; Han, N.-e.: "Striking out on your own" : a study of research information management problems on university campuses (2021)
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- Abstract
- Here, we report on a qualitative study that examined research information management (RIM) ecosystems on research university campuses from the perspectives of research information (RI) managers and librarians. In the study, we identified 21 RIM services offered to researchers, ranging from discovering, storing, and sharing authored content to identifying expertise, recruiting faculty, and ensuring the diversity of committee assignments. In addition, we identified 15 types of RIM service provision and adoption problems, analyzed their activity structures, and connected them to strategies for their resolution. Finally, we report on skills that the study participants reported as being needed in their work. These findings can inform the development of best practice guides for RIM on university campuses. The study also advances the state of the art of RIM research by applying the typology of contradictions from activity theory to categorize the problems of RIM service provision and connect their resolution to theories and findings of prior studies in the literature. In this way, the research expands the theoretical base used to study RIM in general and RIM at research universities in particular.
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.8, S.963-978
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Stvilia, B.; Hinnant, C.C.; Schindler, K.; Worrall, A.; Burnett, G.; Burnett, K.; Kazmer, M.M.; Marty, P.F.: Composition of scientific teams and publication productivity at a national science lab (2011)
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- Date
- 22. 1.2011 13:19:42
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.270-283
-
Huang, H.; Stvilia, B.; Jörgensen, C.; Bass, H.W.: Prioritization of data quality dimensions and skills requirements in genome annotation work (2012)
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- Abstract
- The rapid accumulation of genome annotations, as well as their widespread reuse in clinical and scientific practice, poses new challenges to management of the quality of scientific data. This study contributes towards better understanding of scientists' perceptions of and priorities for data quality and data quality assurance skills needed in genome annotation. This study was guided by a previously developed general framework for assessment of data quality and by a taxonomy of data-quality (DQ) skills, and intended to define context-sensitive models of criteria for data quality and skills for genome annotation. Analysis of the results revealed that genomics scientists recognize specific sets of criteria for quality in the genome-annotation context. Seventeen data quality dimensions were reduced to 5-factor constructs, and 17 relevant skills were grouped into 4-factor constructs. The constructs defined by this study advance the understanding of data quality relationships and are an important contribution to data and information quality research. In addition, the resulting models can serve as valuable resources to genome data curators and administrators for developing data-curation policies and designing DQ-assurance strategies, processes, procedures, and infrastructure. The study's findings may also inform educators in developing data quality assurance curricula and training courses.
- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.1, S.195-207
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Stvilia, B.; Wu, S.; Lee, D.J.: Researchers' uses of and disincentives for sharing their research identity information in research information management systems (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.8, S.1035-1045
-
Lee, D.J.L.; Stvilia, B.: Developing a data identifier taxonomy (2014)
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- Abstract
- As the amount of research data management is growing, the use of identity metadata for discovering, linking, and citing research data is growing too. To support the awareness of different identifier systems and the comparison and selection of an identifier for a particular data management environment, there is need for a knowledge base. This article contributes to that goal and analyzes the data management and related literatures to develop a data identifier taxonomy. The taxonomy includes four categories (domain, entity types, activities, and quality dimensions). In addition, the article describes 14 identifiers referenced in the literature and analyzes them along the taxonomy.
-
Choi, W.; Stvilia, B.: Web credibility assessment : conceptualization, operationalization, variability, and models (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2399-2414
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Stvilia, B.; Gasser, L.; Twidale, M.B.; Smith, L.C.: ¬A framework for information quality assessment (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1720-1733
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Stvilia, B.; Mon, L.; Yi, Y.J.: ¬A model for online consumer health information quality (2009)
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- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.9, S.1781-1791
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Jörgensen, C.; Stvilia, B.; Wu, S.: Assessing the relationships among tag syntax, semantics, and perceived usefulness (2014)
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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.4, S.836-849
-
Stvilia, B.; Hinnant, C.C.; Wu, S.; Worrall, A.; Lee, D.J.; Burnett, K.; Burnett, G.; Kazmer, M.M.; Marty, P.F.: Research project tasks, data, and perceptions of data quality in a condensed matter physics community (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.2, S.246-263
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Stvilia, B.; Twidale, M.B.; Smith, L.C.; Gasser, L.: Information quality work organization in wikipedia (2008)
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- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.6, S.983-1001
-
Stvilia, B.; Jörgensen, C.: Member activities and quality of tags in a collection of historical photographs in Flickr (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2477-2489
