Additional information
by Ina Fourie (Editor)
Autoethnography for Librarians and Information Scientists illustrates that autoethnography is a rich qualitative research method that can enhance understanding of one's own work experiences, whilst also facilitating the design of tailored experiences for a variety of audiences.
Starting with the position that librarians and information scientists require deep insight into people's experiences, needs and information behaviour in order to design appropriate services and information interventions, this book shows that using only conventional methods, such as questionnaires and focus groups, is insufficient. Arguing that autoethnography can provide unique insights into users' cultural experiences and needs, contributors to this volume introduce the reader to different types of autoethnography. Highlighting common challenges and clarifying how autoethnography can be combined with other research methods, this book will empower librarians and information scientists to conceptualise topics for autoethnographic research, whilst also ensuring that they adhere to strict ethical guidelines. Chapters within the volume also demonstrate how to produce autoethnographic writing and stress the need to analyse autoethnographies produced by others.
Autoethnography for Librarians and Information Scientists is essential reading for any librarian, information scientist or student looking to deepen their understanding of their own experiences. It will be particularly useful to those engaged in the study of service provision, user studies and information behaviour.
Author Biography
Ina Fourie is a full professor and Head of Department of Information Science, University of Pretoria. Professor Fourie is currently Vice Chair of the ISIC (Information Seeking in Context) Steering Committee and part of the ASIS&T (Association of Information Science and Technology) Executive Board as Treasurer. She has published more than 130 articles, books and conference papers and has presented in more than 16 countries.
