A5012644648- Digital and Traditional Archives Management
- Research Data Management Practices
- Digital Humanities and Scholarship
- Image Processing and 3D Reconstruction
- Advanced Data Storage Technologies
- Augmented Reality Applications
- Handwritten Text Recognition Techniques
- Archaeological Research and Protection
- Data Quality and Management
- Semantic Web and Ontologies
- Literature: history, themes, analysis
- Biomedical Text Mining and Ontologies
- Library Science and Information Systems
- Cultural Studies and Interdisciplinary Research
- Scientific Computing and Data Management
- Environmental DNA in Biodiversity Studies
- American and British Literature Analysis
National Library of Scotland
2020-2024
Purpose The purpose of this study is to offer a checklist that can be used for both creating and evaluating digital collections, which are also sometimes referred as data sets part the collections movement, suitable computational use. Design/methodology/approach was built by synthesising analysing results relevant research literature, articles studies issues needs obtained in an observational study. tested applied tool assessing selection made available galleries, libraries, archives museums...
Introduction. This research investigates the adoption of collections as data in GLAM institutions, aiming to highlight best practices for computational use and machine-readable sharing digital collections. Method. Drawing on existing literature regarding data, this identifies key aspects that should be considered assesses selected datasets based these aspects. Analysis. The were analysed identify gaps. Results. findings revealed areas needing improvement, including impact, ethical rights,...
With a mass digitisation programme underway and the addition of non-print legal deposit web archive collections, National Library Scotland is now both producing collecting data at an unprecedented rate, with over 5PB storage in Library’s centres. As well as opportunities to support large scale analysis this also presents new challenges around management, storage, rights, formats, skills access. Furthermore, by assuming role creators collectors, libraries face broader questions about concepts...

 ‘Collections as data’ has become a core activity for libraries in recent years: it is important that we make collections available machine-readable formats to enable and encourage computational research. However, while this necessary output, discussion around the processes workflows required turn into data, data openly, are just valuable. With increasingly becoming producers of their own – presenting from digitisation digital production tools part datasets, example making at scale...
The National Library of Scotland’s Digital Scholarship Service has been releasing collections as data on its data-delivery platform, the Data Foundry, since September 2019. Following COVID-19 lockdown, this service experienced significantly higher traffic, library users increasingly made use online resources. To ensure that many possible were able to explore datasets invested in a Research Intern post, with remit provide introductory analysis Foundry using Jupyter Notebooks. This article...
Large-scale digitization in Galleries, Libraries, Archives and Museums (GLAM) created the conditions for providing access to collections as data. It opened new opportunities explore, use reuse digital collections. Strong proponents of data are Innovation Labs which provided numerous examples publishing datasets under open licenses order content novel creative ways. Within current transition emerging spaces, clouds cultural heritage science, need identify practices support more GLAM...