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Failure Modes and Effects Analysis (FMEA) for Cataloging: An Application and Evaluation
Failure Modes and Effects Analysis (FMEA) is a proactive assessment tool originally created for quality assurance in manufacturing industries. FMEA involves the assignment of rankings for frequency, severity, and detection of errors within a process. Catalogers at ProQuest undertook an innovative project to use FMEA to evaluate MARC record production. This article provides an overview of FMEA for process evaluation and summarizes an application for cataloging. It considers the tool’s value for error-proofing in MARC record creation and how FMEA might be applied more effectively in a variable environment
Selection in Web Archives: The Value of Archival Best Practices
The abundance of valuable material available online has mobilized the development of preservation initiatives at collecting institutions that aim to capture and contextualize web content. Web archiving selection criteria are driven by the limitations inherent in harvesting technologies. Observing core archival principles like provenance and original order when establishing collection development policies for web content will help to ensure that archives continue to assure the authenticity of the materials they steward. This paper addresses the difficulty of applying archival principles to web materials, technical constraints that preclude inclusion of some materials, and options for resolving technical limitations by relying on the archival principles of provenance and original order
Research Center as Distant Publisher: Developing Non-Consumptive Compliant Open Data Worksets to Support New Modes of Inquiry
The HathiTrust Research Center (HTRC), founded in 2010, is managed by Indiana University Bloomington and the University of Illinois at Urbana-Champaign under an agreement with the HathiTrust Board of Governors and the University of Michigan. The HTRC mission supports new knowledge creation through novel computational uses of the Hathitrust Digital Library (HTDL). Through the introduction of the concept of distant publishing, this short paper will discuss ideas for data and software publication that support the HTRC non-consumptive research methodologies and offer scholars new methods for research inquiry
Situating Expertise in Practice: Domain-Based Data Management Training for Liaison Librarians
The research data management team at the University of California, Berkeley implemented a domain-based Librarian Training Program in order to upskill liaison librarians in research data management principles and to create a community of practice among librarians providing research data support. The training program partnered with representatives from each subject division of the Library to integrate content from relevant disciplines. The training model emphasized scaffolding and concrete deliverables, teaching specific tools and concepts, and creating learning objects useful for instruction and outreach. Employing a more effective pedagogical model, the program was more popular among librarians than previous attempts at library-wide research data management training at Berkeley. This analysis details the program management, curricular design, instruction, and outcomes that made the Library Training Program successful
Building A Research Data Management Service at UC Berkeley
oai:iu.tind.io:33University of California, Berkeley’s Library and the central Research Information Technologies unit have collaborated to develop a research data management program that leverages each organization’s expertise and resources to create a unified service. The service offers a range of workshops, consultation, and an online resource. Because of this collaboration, service areas that are often fully embedded in IT, like backup and secure storage, as well as services in the Library domain, like resource discovery and instruction, are integrated into a single research data management program. This case study discusses the establishment of the program, the obstacles in implementing it, and outcomes of the collaborative model