Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 1
  Robert Jr, L.P. ; You, S.: Are you satisfied yet? : shared leadership, individual trust, autonomy, and satisfaction in virtual teams.
  In: Journal of the Association for Information Science and Technology. 69(2018) no.4, S.503-513.
  
  Abstract: Despite the benefits associated with virtual teams, many people on these teams are unsatisfied with their experience. The goal of this study was to determine how to better facilitate satisfaction through shared leadership, individual trust, and autonomy. Specifically, in this study we sought a better understanding of the effects of shared leadership, team members' trust, and autonomy on satisfaction. We conducted a study with 163 individuals in 44 virtual teams. The results indicate that shared leadership facilitates satisfaction in virtual teams both directly and indirectly through the promotion of trust. Shared leadership moderated the relationships of individual trust and individual autonomy with satisfaction. Team-level satisfaction was a strong predictor of virtual team performance. We discuss these findings and the implications for theory and design.
  
  Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.23983.
  
  
  
• 2
  Park, H. ; You, S. ; Wolfram, D.: Informal data citation for data sharing and reuse is more common than formal data citation in biomedical fields.
  In: Journal of the Association for Information Science and Technology. 69(2018) no.11, S.1346-1354.
  
  Abstract: Data citation, where products of research such as data sets, software, and tissue cultures are shared and acknowledged, is becoming more common in the era of Open Science. Currently, the practice of formal data citation-where data references are included alongside bibliographic references in the reference section of a publication-is uncommon. We examine the prevalence of data citation, documenting data sharing and reuse, in a sample of full text articles from the biological/biomedical sciences, the fields with the most public data sets available documented by the Data Citation Index (DCI). We develop a method that combines automated text extraction with human assessment for revealing candidate occurrences of data sharing and reuse by using terms that are most likely to indicate their occurrence. The analysis reveals that informal data citation in the main text of articles is far more common than formal data citations in the references of articles. As a result, data sharers do not receive documented credit for their data contributions in a similar way as authors do for their research articles because informal data citations are not recorded in sources such as the DCI. Ongoing challenges for the study of data citation are also outlined.
  
  Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24049.
  
  Themenfeld: Informetrie
  Wissenschaftsfach: Medizin