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Responsible Operations: Data Science, Machine Learning, and AI in Libraries. OCLC Research Position Paper
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Padilla, Thomas – OCLC Online Computer Library Center, Inc., 2019
Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Educational Technology
Translational Researchers' Perceptions of Data Management Practices and Data Curation Needs: Findings from a Focus Group in an Academic Health Sciences Library
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Bardyn, Tania P.; Resnick, Taryn; Camina, Susan K. – Journal of Web Librarianship, 2012
How translational researchers use data is becoming an important support function for libraries to understand. Libraries' roles in this increasingly complex area of Web librarianship are often unclearly defined. The authors conducted two focus groups with physicians and researchers at an academic medical center, the UCLA David Geffen School of…
Descriptors: Libraries, Open Source Technology, Medical Schools, Researchers
Evidence-Based Library Management: The Leadership Challenge
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Lakos, Amos – portal: Libraries and the Academy, 2007
This paper is an extension of the author's earlier work on developing management information services and creating a culture of assessment in libraries. The author will focus observations on the use of data in decision-making in libraries, specifically on the role of leadership in making evidence-based decision a reality, and will review new…
Descriptors: Library Administration, Research Libraries, Academic Libraries, Information Technology
Usage Data for Electronic Resources: A Comparison between Locally Collected and Vendor-Provided Statistics.
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Duy, Joanna; Vaughan, Liwen – Journal of Academic Librarianship, 2003
Vendor-provided electronic resource usage statistics are not currently standardized across vendors. This study investigates the feasibility of using locally collected data to check the reliability of vendor-provided data. Vendor-provided data were compared with local data collected from North Carolina State University (NCSU) Libraries' Web…
Descriptors: Academic Libraries, Comparative Analysis, Data Analysis, Data Collection
Measures for Electronic Resources (E-Metrics). Complete Set.
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Association of Research Libraries, Washington, DC. – 2002
The Association of Research Libraries (ARL) E-Metrics study was designed as an 18-month project in three phases: an inventory of what libraries were already doing about data collection for electronic resources and an identification of any libraries that could provide best practice; identifying and testing data elements that could be collected and…
Descriptors: Academic Libraries, Data Collection, Evaluation Criteria, Evaluation Methods
The Use of IT in Library Evaluation: Electronic Surveying at the University of Newcastle.
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Webster, Keith G. – 1995
The challenge in survey methodology is to conduct studies as effectively and efficiently as possible. The University of Newcastle upon Tyne (England) has taken advantage of information technology (IT) developments to improve the conduct of in-house surveys. A surveying mechanism tied to the library OPAC (online public access catalog), accessible…
Descriptors: Academic Libraries, Data Collection, Evaluation Methods, Foreign Countries