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Full-Text Articles in Library and Information Science

Problems And Promises Of Qualitative Secondary Analysis For Research In Information Science (Paper), Amy Vanscoy, Jenny Bossaller, C. Sean Burns Jul 2018

Problems And Promises Of Qualitative Secondary Analysis For Research In Information Science (Paper), Amy Vanscoy, Jenny Bossaller, C. Sean Burns

Information Science Faculty Publications

Qualitative secondary analysis (QSA) is a method that has been applied in other disciplines even though it has rarely been explicitly used or discussed in information science. This paper discusses the epistemological and ethical issues surrounding QSA, explains the value of the method for information science research, discusses its benefits and challenges, and provides an example case study.


Toward A Design Epistemology For Librarianship, Rachel I. Clarke Jan 2018

Toward A Design Epistemology For Librarianship, Rachel I. Clarke

School of Information Studies - Faculty Scholarship

The design of information tools and services is an integral component of librarianship, yet American librarianship has self-identified as a social science for more than 100 years. This paper suggests an alternative epistemological perspective to the scientific tradition in librarianship: design epistemology. The paper discusses key elements that comprise design epistemology and presents examples of manifestations of these elements in librarianship. Analysis reveals that librarianship has much in common with design epistemology, yet the field lacks explicit acknowledgement of design as a fundamental epistemological framework. The paper concludes with a call for reconceptualizing librarianship as a design discipline.


Data As Stepping Stones In The Research River: Using Data Across Disciplines When You’Re Not A Data Expert, Nina Exner Jan 2018

Data As Stepping Stones In The Research River: Using Data Across Disciplines When You’Re Not A Data Expert, Nina Exner

VCU Libraries Faculty and Staff Presentations

Research – it’s all about discoveries from data! Unfortunately, research development often means encouraging good science and research without being an expert in the data. And as we scale up to working with interdisciplinary teams, even the researchers on the team do not understand each others’ data. Epistemological barriers prevent researchers from good team science. Epistomological silos also provide a barrier to good grantwriting. Developing the general skills to talk data to many types of researchers at many different levels is essential to working with individual PIs in many disciplines. It also supports concrete grantwriting skills such as explaining data …