What is research data for music researchers and performers? How can music librarians develop their knowledge and skills to better meet the research data needs of their constituents, and contribute to the data-intensive turn in academia? Music Research Data Management: A Guide for Librarians explores these questions, provides readers with a background in research data management as it applies to specific music disciplines, and presents examples of the data used within several of the major music and music-related disciplines. Many academic libraries offer extensive research data management services, which may include support for data management planning, data description and access, preservation, and the promotion of open data initiatives. Because of a lack of shared vocabulary, music researchers may not realize that they work with “data” and are eligible for these services. Music researchers and performers work with items such as texts, datasets, and recordings, and create new items for the library to curate and preserve. By drawing upon research data management principles, music librarians can define music research data and articulate its importance. Music Research Data situates research data management within the music disciplines and examines how music librarians can become leaders in the evolving turn towards data-focused research and scholarship, including ways in which our libraries can better support and curate these data. Useful to music librarians with varying levels of experience and development in research data management services at their libraries, this book offers a solid foundation for building these services.

It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers' ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. This volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations.

Institutional recordings represent a significant portion of the scholarly output of academic music schools and departments. Audio and video recordings of faculty recitals, student recitals, ensembles, and guest artists provide a unique record of musical life in an academic environment. Libraries have often been responsible for describing, preserving, and providing access to these valuable collections. Managing Institutional Recordings brings together a variety of articles on different aspects of collecting and managing institutional recording collections. This compilation of essays and case studies, written by known experts in the field, explores solutions to managing collections in a variety of institutions across North America. Topics include planning, managing, cataloging, preservation, and legal aspects of collections. As a unique exploration of the topic, Managing Institutional Recordings will provide readers with resources and guidance on their own institutional recording collections.

Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: Understanding data management basics and best practices. Using the reference interview to help with data management Writing data management plans for grants. Starting and growing a data management service. Finding collaborators inside and outside the library. Collecting and using data in different disciplines.

The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing. The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics. Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation games. The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining. The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine learning techniques to better extract useful information. An excellent introduction to the field, this volume presents state-of-the-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections.