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Museums in a Digital Age
The influence of digital media on the cultural heritage sector has been pervasive and profound. Today museums are reliant on new technology to manage their collections. They collect digital as well as material things. New media is embedded within their exhibition spaces. And their activity online is as important as their physical presence on site.
However, 'digital heritage' (as an area of practice and as a subject of study) does not exist in one single place. Its evidence base is complex, diverse and distributed, and its content is available through multiple channels, on varied media, in myriad locations, and different genres of writing.
It is this diaspora of material and practice that this Reader is intended to address. With over forty chapters (by some fifty authors and co-authors), from around the world, spanning over twenty years of museum practice and research, this volume acts as an aggregator drawing selectively from a notoriously distributed network of content. Divided into seven parts (on information, space, access, interpretation, objects, production and futures), the book presents a series of cross-sections through the body of digital heritage literature, each revealing how a different aspect of curatorship and museum provision has been informed, shaped or challenged by computing.
Museums in a Digital Age is a provocative and inspiring guide for any student or practitioner of digital heritage.
eBook
Museums in the digital age
Museums in the Digital Age: Changing Meanings of Place, Community, and Culture showcases how the use of technology in museums should be understood as factors directly related to the museums’ notion of community, local culture, and place, whether these places are in mid-America, urban metropolises, or ethnically diverse and underserved communities. Here, museum expert Susana Smith Bautista brings more than twenty years of experience in cultural institutes in Los Angeles, New York, and Greece to propose a social understanding of why museums should be adopting technology, and how it should be adapted based on their particular missions, communities, and places. This book is timely because we are in the midst of the digital age, which is rapidly changing due to rapidly changing developments in technology and society as well, with social adaptations of technology. Theory is always racing to catch up with practice in the digital age, but theory remains a critical - and often neglected - component to accompany the practical application of technology in museums. In order to illustrate these points, the book presents five case studies of the most technologically advanced art museums in the United States today: The Indianapolis Museum of Art The Walker Art Center The San Francisco Museum of Modern Art The Museum of Modern Art The Brooklyn Museum Each case study ends with a Lessons Learned section to bring these points home. While the case studies focus on museums in the United States, and also on art museums, this book is relevant to all types of museums and to museums all over the world, as they equally face the challenge of incorporating technology into their institutions. Although these case studies are all well-established and well-endowed museums, Bautista reveals valuable insight into the difficulties they face and the questions they are asking which are relevant to even the smallest museum or community cultural center.
eBook
Multimedia information extraction and digital heritage preservation
Multimedia Information Extraction and Digital Heritage Preservation is an edited volume of contributions by various distinguished researchers on issues in digital libraries, particularly in connection with heritage documents. This excellent collection of 21 papers covers various aspects of the problem. Cultural and scientific heritage resources are of fundamental value for human civilization, and their preservation is of utmost importance to mankind. Such preservation work has two aspects. First, the preservation of original objects and documents at source or in museums, and two, preservation of their imaged replica in digital form in libraries and other archives. The second approach is essential because objects may disintegrate due to age or ruin by disasters like earthquake, fire, flood, war and also vandalism. The imaged replica and associated digital database will at least prove their past existence and provide sufficient information if they are wiped out of the world. Even for physical preservation of the currently available heritage documents, digital systems and approaches are of great importance in many ways.
eBook
Annual review of cultural heritage informatics 2015
This volume of the Annual Review of Cultural Heritage Informatics (ARCHI) is the polestar publication for cultural heritage scholars, professionals, and students. Featuring original works selected by the distinguished editorial board of international scholars, ARCHI presents a broad spectrum of the cultural heritage informatics field.
eBook
Annual Review of Cultural Heritage Informatics
Produced by The University of South Carolina's School of Library and Information Science, this volume of the Annual Review of Cultural Heritage Informatics (ARCHI)is the polestar publication for cultural heritage scholars, professionals, and students. Featuring original works selected by the distinguished editorial board of international scholars, ARCHI presents a broad spectrum of the cultural heritage informatics field.
New to this edition is a Perspectives chapter in which scholars, practitioners, and leaders delve into a current issue facing the field, voicing their thoughts based on research and personal experience. Some topics covered include:
How the transactions and reflections of collections work influences the workplace, community, and nation An in-depth look at the work and how theoretical and professional obstacles hinder convergence. The debate over technology and big data addressed through two articles offering opposing viewpoints on the benefits and disadvantages
With a focus on the way our cultural heritage is accessed, stored, and preserved, this volume looks forward to the future and the insight brought forth through technological innovation and research.
eBook
Annual review of cultural heritage informatics
Produced by The University of South Carolina's School of Library and Information Science this is the authoritative annual compilation of research, best practices, and a review of literature in the fields of cultural heritage, imaging for museums and libraries, and digital humanities. The scope is international.
The Annual will build on the commonality of interests between museums, archives and libraries, and scholarship in the arts and humanities. An editorial board will be comprised of four to seven scholars in the field to include but not limited to researchers and information professionals with previous work in the field of cultural heritage and informatics.
Each issue will contain three major parts:
• Original research articles
• Literature reviews on the three main research areas in the field:, Social networking and cultural institutions, the value of culture, and open source resources
• Overview of trends and technologies in the field
The Annual Review is an essential overview and synthesis of this nascent and growing field.
eBook
The Routledge International Handbook of New Digital Practices in Galleries, Libraries, Archives, Museums and Heritage Sites
Containing first-hand accounts from leading thinkers, curators, exhibition designers, historians, heritage practitioners, technologists and interaction designers, this book presents a fascinating picture of how today's cultural institutions are undergoing a transformation through innovative applications of digital technology.
eBook
Improving big citizen science data: Moving beyond haphazard sampling
Citizen science is mainstream: millions of people contribute data to a growing array of citizen science projects annually, forming massive datasets that will drive research for years to come. Many citizen science projects implement a \"leaderboard\" framework, ranking the contributions based on number of records or species, encouraging further participation. But is every data point equally \"valuable?\" Citizen scientists collect data with distinct spatial and temporal biases, leading to unfortunate gaps and redundancies, which create statistical and informational problems for downstream analyses. Up to this point, the haphazard structure of the data has been seen as an unfortunate but unchangeable aspect of citizen science data. However, we argue here that this issue can actually be addressed: we provide a very simple, tractable framework that could be adapted by broadscale citizen science projects to allow citizen scientists to optimize the marginal value of their efforts, increasing the overall collective knowledge.
Journal Article
Leveraging synthetic data produced from museum specimens to train adaptable species classification models
Computer vision has increasingly shown potential to improve data processing efficiency in ecological research. However, training computer vision models requires large amounts of high-quality, annotated training data. This poses a significant challenge for researchers looking to create bespoke computer vision models, as substantial human resources and biological replicates are often needed to adequately train these models. Synthetic images have been proposed as a potential solution for generating large training datasets, but models trained with synthetic images often have poor generalization to real photographs. Here we present a modular pipeline for training generalizable classification models using synthetic images. Our pipeline includes 3D asset creation with the use of 3D scanners, synthetic image generation with open-source computer graphic software, and domain adaptive classification model training. We demonstrate our pipeline by applying it to skulls of 16 mammal species in the order Carnivora. We explore several domain adaptation techniques, including maximum mean discrepancy (MMD) loss, fine-tuning, and data supplementation. Using our pipeline, we were able to improve classification accuracy on real photographs from 55.4% to a maximum of 95.1%. We also conducted qualitative analysis with t-distributed stochastic neighbor embedding (t-SNE) and gradient-weighted class activation mapping (Grad-CAM) to compare different domain adaptation techniques. Our results demonstrate the feasibility of using synthetic images for ecological computer vision and highlight the potential of museum specimens and 3D assets for scalable, generalizable model training.
Journal Article