Yale Leaf Morphology Digitization and Network Project

This article describes a digitization project inspired by the innovative leaf morphology classification work of a faculty member in the Geology and Geophysics Department and the Peabody Museum at Yale University. We began our initiative by scanning the Flora Fossilis Arctica, a 7-volume fossil leaf identification tool covering various geological areas, published between 1868 and 1883. This classic paleobotany resource was digitized, creating tiff, pdf, and searchable pdf files. We are now converting the searchable pdf files into ASCII text, enhancing the raw data with metadata elements, placing this material on the web for searching and display; and linking this material to an existing set of preserved leaf plates, a locally created index of annotated article clippings, an online leaf morphology tutorial, and the published online literature. Many decisions must be made in terms of host platforms, mark-up standards, search and linking options, and preservation documentation. This article will outline our decision process as we explore the post-digitization dataset handling, which may prove instructive for others attempting to create and link locally digitized materials

Strategic Planning for Sustaining User-Generated Content in Digital Collections

Experimentation and exploration are hallmarks of innovative libraries, but as experiments become on-going projects and investigations become long-term commitments, it is important to gain perspective on how the roles of librarians, archivists, and information professionals are changing. As social computing becomes routine for computer users, libraries of all types are responding to these new expectations by building interactive communication features into their on-line collections. Social features and user-generated content raise several compelling issues as organizations strive to balance agile adaptation to the ever-evolving user environment with the realities of limited staff resources and greater administrative expectations. This paper examines the challenges inherent in efficiently managing social media and user-generated content and discusses the various stakeholders involved in managing the increased day-to-day work these initiatives create. Several strategies are suggested to help develop an flexible and supportive organizational framework that can effectively sustain and deliver on the promise of social computing

Report of the Stanford Linked Data Workshop

The Stanford University Libraries and Academic Information Resources (SULAIR) with the Council on Library and Information Resources (CLIR) conducted at week-long workshop on the prospects for a large scale, multi-national, multi-institutional prototype of a Linked Data environment for discovery of and navigation among the rapidly, chaotically expanding array of academic information resources. As preparation for the workshop, CLIR sponsored a survey by Jerry Persons, Chief Information Architect emeritus of SULAIR that was published originally for workshop participants as background to the workshop and is now publicly available. The original intention of the workshop was to devise a plan for such a prototype. However, such was the diversity of knowledge, experience, and views of the potential of Linked Data approaches that the workshop participants turned to two more fundamental goals: building common understanding and enthusiasm on the one hand and identifying opportunities and challenges to be confronted in the preparation of the intended prototype and its operation on the other. In pursuit of those objectives, the workshop participants produced:1. a value statement addressing the question of why a Linked Data approach is worth prototyping;2. a manifesto for Linked Libraries (and Museums and Archives and …);3. an outline of the phases in a life cycle of Linked Data approaches;4. a prioritized list of known issues in generating, harvesting & using Linked Data;5. a workflow with notes for converting library bibliographic records and other academic metadata to URIs;6. examples of potential “killer apps” using Linked Data: and7. a list of next steps and potential projects.This report includes a summary of the workshop agenda, a chart showing the use of Linked Data in cultural heritage venues, and short biographies and statements from each of the participants

Making Archival and Special Collections More Accessible

Making Archival and Special Collections More Accessible represents the efforts of OCLC Research over the last seven years to support change in the end-to-end process that results in archival and special collections materials being delivered to interested users.Revealing hidden assets stewarded by research institutions so they can be made available for research and learning locally and globally is a prime opportunity for libraries to create and deliver new value. Making Archival and Special Collections More Accessible collects important work OCLC Research has done to help achieve the economies and efficiencies that permit these materials to be effectively described, properly disclosed, successfully discovered and appropriately delivered. Achieving control over these collections in an economic fashion will mean that current resources can have a broader impact or be invested elsewhere in other activities

Integrating Indigenous Knowledge in Non-Indigenous Knowledge Systems and Institutions

Mainstream knowledge systems, classification schemas, and descriptive standards are firmly rooted in Western epistemologies which, more often than not, are inadequate, inappropriate, and inaccurate as methods for naming and describing Indigenous peoples, perspectives, and ways of knowing. Despite this, professionals in the field have been busy creating solutions to these problems by designing innovative tools and bespoke classification systems to serve as theoretical and practical models that can coexist within the larger infrastructures of the standard knowledge systems and technologies most widely used today. This paper offers depth and nuance to complex issues surrounding traditional methods for the description and presentation of cultural material related to native communities and Indigenous knowledge systems; explores the creation of alternative classification standards and metadata schemas; and investigates new digital platforms and tools that help facilitate the meaningful discovery of information for and about Indigenous peoples using both dominant and non-dominant knowledge systems and technologies

Volume 37, Number 2, June 2017 OLAC Newsletter

Digitized June 2017 issue of the OLAC Newsletter

Digital Image Users and Reuse: Enhancing practitioner discoverability of digital library reuse based on user file naming behavior

Diese Dissertation untersucht Geräte, die Praktiker verwenden, um die Wiederverwendung von digitalen Bibliotheksmaterialien zu entdecken. Der Autor führt zwei Verifikationsstudien durch, in denen zwei zuvor angewandte Strategien untersucht werden, die Praktiker verwenden, um die Wiederverwendung digitaler Objekte zu identifizieren, insbesondere Google Images Reverse Image Lookup (RIL) und eingebettete Metadaten. Es beschreibt diese Strategiebeschränkungen und bietet einen neuen, einzigartigen Ansatz zur Verfolgung der Wiederverwendung, indem der Suchansatz des Autors basierend auf dem Benennungsverhalten von Benutzerdateien verwendet wird. Bei der Untersuchung des Nutzens und der Einschränkungen von Google Images und eingebetteten Metadaten beobachtet und dokumentiert der Autor ein Muster des Benennungsverhaltens von Benutzerdateien, das vielversprechend ist, die Wiederverwendung durch den Praktiker zu verbessern. Der Autor führt eine Untersuchung zur Bewertung der Dateibenennung durch, um dieses Muster des Verhaltens der Benutzerdateibenennung und die Auswirkungen der Dateibenennung auf die Suchmaschinenoptimierung zu untersuchen. Der Autor leitet mehrere signifikante Ergebnisse ab, während er diese Studie fertigstellt. Der Autor stellt fest, dass Google Bilder aufgrund der Änderung des Algorithmus kein brauchbares Werkzeug mehr ist, um die Wiederverwendung durch die breite Öffentlichkeit oder andere Benutzer zu entdecken, mit Ausnahme von Benutzern aus der Industrie. Eingebettete Metadaten sind aufgrund der nicht persistenten Natur eingebetteter Metadaten kein zuverlässiges Bewertungsinstrument. Der Autor stellt fest, dass viele Benutzer ihre eigenen Dateinamen generieren, die beim Speichern und Teilen von digitalen Bildern fast ausschließlich für Menschen lesbar sind. Der Autor argumentiert, dass, wenn Praktiker Suchbegriffe nach den "aggregierten Dateinamen" modellieren, sie ihre Entdeckung wiederverwendeter digitaler Objekte erhöhen.This dissertation explores devices practitioners utilize to discover the reuse of digital library materials. The author performs two verification studies investigating two previously employed strategies that practitioners use to identify digital object reuse, specifically Google Images reverse image lookup (RIL) and embedded metadata. It describes these strategy limitations and offers a new, unique approach for tracking reuse by employing the author's search approach based on user file naming behavior. While exploring the utility and limitations of Google Images and embedded metadata, the author observes and documents a pattern of user file naming behavior that exhibits promise for improving practitioner's discoverability of reuse. The author conducts a file naming assessment investigation to examine this pattern of user file naming behavior and the impact of file naming on search engine optimization. The author derives several significant findings while completing this study. The author establishes that Google Images is no longer a viable tool to discover reuse by the general public or other users except for industry users because of its algorithm change. Embedded metadata is not a reliable assessment tool because of the non-persistent nature of embedded metadata. The author finds that many users generate their own file names, almost exclusively human-readable when saving and sharing digital images. The author argues that when practitioners model search terms after the "aggregated file names" they increase their discovery of reused digital objects