Demystifying the Institutional Repository for Success Books

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Demystifying the Institutional Repository for Success


Demystifying the Institutional Repository for Success
  • Author : Marianne Buehler
  • Publisher : Chandos Publishing
  • Release : 2013-08-31
  • ISBN : 9781780633213
  • Language : En, Es, Fr & De
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Institutional repositories remain key to data storage on campus, fulfilling the academic needs of various stakeholders. Demystifying the Institutional Repository for Success is a practical guide to creating and sustaining an institutional repository through marketing, partnering, and understanding the academic needs of all stakeholders on campus. This title is divided into seven chapters, covering: traditional scholarly communication and open access publishing; the academic shift towards open access; what the successful institutional repository looks like; institutional repository collaborations and building campus relationships; building internal and external campus institutional repository relationships; the impact and value proposition of institutional repositories; and looking ahead to open access opportunities. Presents successful and creative marketing techniques of open access benefits and repositories useful to administrators, faculty, staff, and students Strategic campus and off-campus partnerships for garnering and archiving content, including metadata specialists, off-campus librarians, local/state collaborations, including case studies Specific tools for overall success of users in locating repository research (search engine optimization (SEO), analyzing Google Analytics), and more

Digital Preservation for Libraries Archives and Museums


Digital Preservation for Libraries  Archives  and Museums
  • Author : Edward M. Corrado
  • Publisher : Rowman & Littlefield
  • Release : 2017-01-12
  • ISBN : 9781442278738
  • Language : En, Es, Fr & De
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This new edition of Digital Preservation in Libraries, Archives, and Museums is the most current, complete guide to digital preservation available today. For administrators and practitioners alike, the information in this book is presented readably, focusing on management issues and best practices. Although this book addresses technology, it is not solely focused on technology. After all, technology changes and digital preservation is aimed for the long term. This is not a how-to book giving step-by-step processes for certain materials in a given kind of system. Instead, it addresses a broad group of resources that could be housed in any number of digital preservation systems. Finally, this book is about “things (not technology; not how-to; not theory) I wish I knew before I got started.” Digital preservation is concerned with the life cycle of the digital object in a robust and all-inclusive way. Many Europeans and some North Americans may refer to digital curation to mean the same thing, taking digital preservation to be the very limited steps and processes needed to insure access over the long term. The authors take digital preservation in the broadest sense of the term: looking at all aspects of curating and preserving digital content for long term access. The book is divided into four part: 1.Situating Digital Preservation, 2.Management Aspects, 3.Technology Aspects, and 4.Content-Related Aspects. Digital Preservation will answer questions that you might not have even known you had, leading to more successful digital preservation initiatives.

Making Institutional Repositories Work


Making Institutional Repositories Work
  • Author : Burton B. Callicott
  • Publisher : Purdue University Press
  • Release : 2015-11-15
  • ISBN : 9781612494234
  • Language : En, Es, Fr & De
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Quickly following what many expected to be a wholesale revolution in library practices, institutional repositories encountered unforeseen problems and a surprising lack of impact. Clunky or cumbersome interfaces, lack of perceived value and use by scholars, fear of copyright infringement, and the like tended to dampen excitement and adoption.This collection of essays, arranged in five thematic sections, is intended to take the pulse of institutional repositories-to see how they have matured and what can be expected from them, as well as introduce what may be the future role of the institutional repository.Making Institutional Repositories Work takes novices as well as seasoned practitioners through the practical and conceptual steps necessary to develop a functioning institutional repository, customized to the needs and culture of the home institution. The first section covers all aspects of system platforms, including hosted and open-source options, big data capabilities and integration, and issues related to discoverability. The second section addresses policy issues, from the basics to open-source and deposit mandates. The third section focuses on recruiting and even creating content. Authors in this section will address the ways that different disciplines tend to have different motivations for deposit, as well as the various ways that institutional repositories can serve as publishing platforms. The fourth section covers assessment and success measures for all involved-librarians, deans, and administrators. The theory and practice of traditional metrics, alt metrics, and peer review receive chapter-length treatment. The fifth section provides case studies that include a boots-on-the-ground perspective of issues raised in the first four sections. By noting trends and potentialities, this final section, authored by Executive Director of SPARC Heather Joseph, makes future predictions and helps managers position institutional repositories to be responsive change and even shape the evolution of scholarly communication.

Demystifying eResearch A Primer for Librarians


Demystifying eResearch  A Primer for Librarians
  • Author : Victoria Martin
  • Publisher : ABC-CLIO
  • Release : 2014-10-17
  • ISBN : 9781610695213
  • Language : En, Es, Fr & De
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eResearch presents new challenges in managing data. This book explains to librarians and other information specialists what eResearch is, how it impacts library services and collections, and how to contribute to eResearch activities at their parent institutions. • Provides librarians and other information professionals with a clear understanding of what eResearch is and how it impacts library mission, services, and collections • Defines and explains key eResearch terms and concepts • Describes eResearch library initiatives and identifies best practices • Identifies potential eResearch activities areas such as providing assistance with data management plans, depositing data, collecting and disseminating data sets, collaborating with faculty on eResearch projects, performing research consultations, and creating train-the-trainer programs

Demystifying Big Data and Machine Learning for Healthcare


Demystifying Big Data and Machine Learning for Healthcare
  • Author : Prashant Natarajan
  • Publisher : CRC Press
  • Release : 2017-02-15
  • ISBN : 9781315389318
  • Language : En, Es, Fr & De
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Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.