Academic Librarians in Data Information Literacy Instruction: A Case Study in Meteorology

E-science has reshaped meteorology due to the rate data is generated, collected, analyzed, and stored and brought data skills to a new prominence. Data information literacy—the skills needed to understand, use, manage, share, work with, and produce data—reflects the confluence of data skills with information literacy competencies. This research assessed perceptions of data information literacy and attitudes on its instruction for graduate students in meteorology. As academic librarians have traditionally provided information literacy instruction, the research determined if they were perceived as having a role in data information literacy instruction. The modified Delphi method was applied to obtain the perspectives of a panel of experts, representing students, librarians, professors, and researchers, for the purpose of forecasting and consensus-making. Through the consideration of the University of Oslo’s Department of Geosciences’ Meteorology Section, the research found that data information literacy skills were relevant to the work of meteorology students. Stakeholders perceived that academic librarians could play a future role in general instruction but that they would have to overcome obstacles to be involved in data information literacy instruction. For librarians to enter this domain, they would need to improve their technical skills, enhance their discipline-specific knowledge, or rely on collaborations. The significance of these findings was limited by the modest target population under examination; as a consequence, the results were strongly linked to the specific setting. Further studies would be necessary to determine their generalizability.

[1]  F. Hasson,et al.  Enhancing rigour in the Delphi technique research , 2011 .

[2]  Patti Schifter Caravello,et al.  Incorporating data literacy into undergraduate information literacy programs in the social sciences: A pilot project , 2007 .

[3]  J. M. Crane Information-Seeking Habits of Environmental Scientists: A Study of Interdisciplinary Scientists at the Environmental Protection Agency in Research Triangle Park, North Carolina , 2003 .

[4]  T. Oko Interviewing as Qualitative Research: A Guide for Researchers in Education and the Social Sciences. , 1992 .

[5]  Charles K. Humphrey Collaborative Training in Statistical and Data Library Services , 2005 .

[6]  Janet Murphy Information Seeking Habits of Environmental Scientists: A Study of Interdisciplinary Scientists at the U.S.Environmental Protection Agency in Research Triangle Park, North Carolina , 2001 .

[7]  Michael Fosmire,et al.  A Multi-Institutional Project to Develop Discipline-Specific Data Literacy Instruction for Graduate Students , 2012 .

[8]  Błażej Feret,et al.  The future of academic library and academic librarian : a Delphi study , 1999 .

[9]  John D'Ignazio,et al.  The Central Role of Metadata in a Science Data Literacy Course , 2010 .

[10]  Tracy Primich,et al.  A Semester-Long Seminar in Statistical Visualization for Undergraduates as Taught by a Science and Engineering Librarian , 2010 .

[11]  Karen Antell,et al.  Dealing with Data: Science Librarians' Participation in Data Management at Association of Research Libraries Institutions , 2014, Coll. Res. Libr..

[12]  Lisa R Johnston,et al.  Developing an Understanding of Data Management Education: A Report from the Data Information Literacy Project , 2013 .

[13]  Julie Hallmark Information-Seeking Behavior of Academic Meteorologists and the Role of Information Specialists , 2001 .

[14]  María Auxiliadora Ordóñez Jiménez,et al.  Seidman, I. (2013). Interviewing as qualitative research: A guide for researchers in education & the social sciences. New York: Teachers College. , 2013 .

[15]  Mary E. Piorun,et al.  Teaching Research Data Management: An Undergraduate/Graduate Curriculum , 2012 .

[16]  A. Lyon Dealing with data , 1970 .

[17]  D. Scott Brandt Librarians as partners in e-research Purdue University Libraries promote collaboration , 2007 .

[18]  Christoph O. Meyer The Purpose and Pitfalls of Constructivist Forecasting: Insights from Strategic Culture Research for the European Union's Evolution as a Military Power , 2011 .

[19]  J. Saker,et al.  Methodological and Practical Implications of the Delphi Technique in Marketing Decision-Making: A Re-Assessment , 2000 .

[20]  Carly Strasser,et al.  The fractured lab notebook: undergraduates and ecological data management training in the United States , 2012 .

[21]  Tibor Koltay,et al.  Data literacy: in search of a name and identity , 2015, J. Documentation.

[22]  Thomas E. Pinelli,et al.  An investigation of factors affecting how engineers and scientists seek information , 2001 .

[23]  Ann Q. Gates,et al.  Towards Secure Cyberinfrastructure for Sharing Border Information , 2006 .

[24]  Kellie Snow,et al.  The Data Management Skills Support Initiative: Synthesising Postgraduate Training in Research Data Management , 2012, Int. J. Digit. Curation.

[25]  Julie Hallmark Information-Seeking Behavior of Meteorologists and Other Atmospheric Scientists: Access and Retrieval of Cited References Issues in Science and Technology Libraries , 2003 .

[26]  Sally A Gore Shaping Up: Boot Camp and Other Programs Addressing Professional Development Needs of Science Librarians , 2011, Medical reference services quarterly.

[27]  René Schneider,et al.  Research Data Literacy , 2013 .

[28]  Jeanine Marie Scaramozzino,et al.  A Study of Faculty Data Curation Behaviors and Attitudes at a Teaching-Centered University , 2012, Coll. Res. Libr..

[29]  Julie Hallmark Access and Retrieval of Recent Journal Articles: A Comparative Study of Chemists and Geoscientists , 2004, Issues in Science and Technology Librarianship.

[30]  Jacob Michael C.C. Megan Sapp Carlson,et al.  Determining Data Information Literacy Needs: A Study of Students and Research Faculty , 2011 .

[31]  Jörg Fritsch,et al.  The Problem with Data , 2014, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing.

[32]  J. Kruger,et al.  Unskilled and unaware of it: how difficulties in recognizing one's own incompetence lead to inflated self-assessments. , 1999, Journal of personality and social psychology.

[33]  Miguel-Ángel Marzal,et al.  Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents , 2013 .