Publisher's Synopsis
Emerging technologies have offered libraries and librarians' new ways and methods to collect and analyze data in the era of accountability to justify their value and contributions. As libraries are offering more online resources and services, librarians are able to use emerging tools (i.e., analytics software) to collect more online data. Meanwhile, many libraries are using social media analytics to promote their services and programs. Consequently, those social media software's collect and own library user data. Several social scientists and librarians raise questions regarding the collection and availability of social media data. Libraries have a long history of collecting data and reporting their analyses. Traditionally library data collection focused on gathering information about library materials, expenditures, staffing, or service activities. The data were often compiled into library statistics and considered as a way to assess a library's resources and performance. In recent decades, higher education has grown significantly in the area of assessment as a way to demonstrate value and accountability to various stakeholders. Libraries have been playing a prominent and leading part in this movement as well. The libraries have developed sophisticated assessment tools and methods and expanded our data collection to include library survey data, qualitative data (interviews, chat transcripts, etc.), social engagement data (from social media sites), usability testing, and collection analysis Applications of Library Analytics and Metrics Using Data to Drive Decisions explore the key applications and issues in the exploitation of data analytics and metrics in the library. Because libraries must assess their resources and services to support data-driven decisions, this book will focus on the perspectives and future agenda of library data analysis/assessment in the big data era. The topics to be discussed are data assessment techniques and development, academic library management and practice, as well as legal and policy issues related to information security and privacy that educational analytics and big data give rise to. Using case studies to provide real-life examples of current developments and services, and packed full of practical advice and guidance for libraries looking to realize the value of their data, this book will be of valuable for librarians, archivists, curators and technologists to make better use of data to help inform decision-making, the development of new services and the improvement of the user experience. Emerging technologies have offered libraries and librarians' new ways and methods to collect and analyze data in the era of accountability to justify their value and contributions. As libraries are offering more online resources and services, librarians are able to use emerging tools (i.e., analytics software) to collect more online data. Meanwhile, many libraries are using social media analytics to promote their services and programs. Consequently, those social media software's collect and own library user data. Several social scientists and librarians raise questions regarding the collection and availability of social media data. Libraries have a long history of collecting data and reporting their analyses. Traditionally library data collection focused on gathering information about library materials, expenditures, staffing, or service activities. The data were often compiled into library statistics and considered as a way to assess a library's resources and performance. In recent decades, higher education has grown significantly in the area of assessment as a way to demonstrate value and accountability to various stakeholders. Libraries have been playing a prominent and leading part in this movement as well. The libraries have developed sophisticated assessment tools and methods and expanded our data collection to include library survey data, qualitative data (interviews, chat transcripts, etc.), social engagement data (from social media sites), usability testing, and collection analysis Applications of Library Analytics and Metrics Using Data to Drive Decisions explore the key applications and issues in the exploitation of data analytics and metrics in the library. Because libraries must assess their resources and services to support data-driven decisions, this book will focus on the perspectives and future agenda of library data analysis/assessment in the big data era. The topics to be discussed are data assessment techniques and development, academic library management and practice, as well as legal and policy issues related to information security and privacy that educational analytics and big data give rise to. Using case studies to provide real-life examples of current developments and services, and packed full of practical advice and guidance for libraries looking to realize the value of their data, this book will be of valuable for librarians, archivists, curators and technologists to make better use of data to help inform decision-making, the development of new services and the improvement of the user experience. Emerging technologies have offered libraries and librarians' new ways and methods to collect and analyze data in the era of accountability to justify their value and contributions. As libraries are offering more online resources and services, librarians are able to use emerging tools (i.e., analytics software) to collect more online data. Meanwhile, many libraries are using social media analytics to promote their services and programs. Consequently, those social media software's collect and own library user data. Several social scientists and librarians raise questions regarding the collection and availability of social media data. Libraries have a long history of collecting data and reporting their analyses. Traditionally library data collection focused on gathering information about library materials, expenditures, staffing, or service activities. The data were often compiled into library statistics and considered as a way to assess a library's resources and performance. In recent decades, higher education has grown significantly in the area of assessment as a way to demonstrate value and accountability to various stakeholders. Libraries have been playing a prominent and leading part in this movement as well. The libraries have developed sophisticated assessment tools and methods and expanded our data collection to include library survey data, qualitative data (interviews, chat transcripts, etc.), social engagement data (from social media sites), usability testing, and collection analysis Applications of Library Analytics and Metrics Using Data to Drive Decisions explore the key applications and issues in the exploitation of data analytics and metrics in the library. Because libraries must assess their resources and services to support data-driven decisions, this book will focus on the perspectives and future agenda of library data analysis/assessment in the big data era. The topics to be discussed are data assessment techniques and development, academic library management and practice, as well as legal and policy issues related to information security and privacy that educational analytics and big data give rise to. Using case studies to provide real-life examples of current developments and services, and packed full of practical advice and guidance for libraries looking to realize the value of their data, this book will be of valuable for librarians, archivists, curators and technologists to make better use of data to help inform decision-making, the development of new services and the improvement of the user experience.
