Cataloging and Metadata Commons^™

Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)

Library Philosophy and Practice (e-journal)

Abstract

Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …

Pursuing Best Performance In Research Data Management By Using The Capability Maturity Model And Rubrics, Jian Qin, Kevin Crowston, Arden Kirkland

DataONE Sociocultural and Usability & Assessment Working Groups

Objective: To support the assessment and improvement of research data management (RDM) practices to increase its reliability, this paper describes the development of a capability maturity model (CMM) for RDM. Improved RDM is now a critical need, but low awareness of – or lack of – data management is still common among research projects.

Methods: A CMM includes four key elements: key practices, key process areas, maturity levels, and generic processes. These elements were determined for RDM by a review and synthesis of the published literature on and best practices for RDM.

Results: The RDM CMM includes …

Research Data And Linked Data: A New Future For Technical Services?, Sherry L. Vellucci

University Library Scholarship

This book chapter examines two futures for academic librarians working in access (technical) services: deeper collaboration on data management with faculty and student researchers and expanded access to library resources on the Semantic Web. Both are concerned with data organization, discovery, access, and support of shared data beyond the library. The chapter examines many aspects of research data from the perspectives of researchers and librarians. It briefly examines events prior to the library's greater involvement with research data, looks at how librarians gained fundamental knowledge and skills to assist with the tasks involved with research data curation, and discusses why …

A Review Of “Delivering Research Data Management Services: Fundamentals Of Good Practice”, Darren Sweeper

Sprague Library Scholarship and Creative Works

No abstract provided.

Academic Libraries And Research Data Services: Current Practices And Plans For The Future, Carol Tenopir, Ben Birch, Suzie Allard

DataONE Sociocultural and Usability & Assessment Working Groups

The report highlights the need and imperative for research data services in colleges and universities. Academic libraries may be ideal centers for research data service activities on campuses, providing unique opportunities for academic libraries to become even more active participants in the knowledge creation cycle in their institution.

Dataone: Facilitating Escience Through Collaboration, Suzie Allard

DataONE Sociocultural and Usability & Assessment Working Groups

Objective: To introduce DataONE, a multi-institutional, multinational, and interdisciplinary collaboration that is developing the cyberinfrastructure and organizational structure to support the full information lifecycle of biological, ecological, and environmental data and tools to be used by researchers, educators, and the public at large.

Setting: The dynamic world of data intensive science at the point it interacts with the grand challenges facing environmental sciences.

Methods: Briefly discuss science’s “fourth paradigm,” then introduce how DataONE is being developed to answer the challenges presented by this new environment. Sociocultural perspectives are the primary focus of the discussion.

Results: DataONE …

Beyond The Low Hanging Fruit: Archving Complex Data And Data Services At University Of New Mexico, Robert Olendorf, Steve Koch

DataONE Sociocultural and Usability & Assessment Working Groups

Open data is becoming increasingly important in research. While individual researchers are slowly becoming aware of the value, funding agencies are taking the lead by requiring data be made available, and also by requiring data management plans to ensure the data is available in a useable form. Some journals also require that data be made available. However, in most cases, “available upon request” is considered sufficient. We describe a number of historical examples of data use and discovery, then describe two current test cases at the University of New Mexico. The lessons learned suggest that an instituional data services program …

Evaluating And Implementing Web Scale Discovery Services: Part Two, Jason Vaughan, Tamera Hanken

Library Faculty Presentations

Part Four: Quick Tour of the Current Marketplace:

• "The Big 5"
• Similarities and differences

Part Five: It's Not All Sliced Bread:

• Shortcomings of web scale discovery

Part Six: Implementation (pre launch steps):

• Selecting and preparing implementation staff
• Preparing and communicating process/decisions with all staff
• Working with the vendor (roles, expectations, timeline)
• Workflow changes and implications (technical services)

Part Seven: Specific implementation tasks, issues, and considerations:

• Record loading and mapping (catalog content)
• Harvesting and mapping digital/local content
• Working with central index data (internal & external content)
• Web integration and customization
• Assessment and continuous improvement

Evaluating And Implementing Web Scale Discovery Services: Part One, Jason Vaughan, Tamera Hanken

Library Faculty Presentations

Preface: Before Web Scale Discovery

• A very brief overview

Part 1: What is Web Scale Discovery

• Content
• Technology

Part 2: Why is Web Scale Discovery important?

• What’s the need?
• How is it different from earlier attempts at broad discovery?

Part 3: A Framework for Evaluating Web Scale Discovery Services

• What we did at UNLV
• Other options

Contentdm @ Unlv: New Capabilities, New Opportunities, Cory K. Lampert

Library Faculty Presentations

Why digitize?

•Access

•Preservation (sort of…)

•Collaboration

•New forum for publishing