Selection of digital material for preservation in libraries, archives and museums

Digital material has different preservation requirements than non-digital and is at greater risk of loss unless deliberate preservation activities are undertaken. Digital preservation is an on-going managed process designed to enable continued use of digital material for as long as necessary. Much of the digital preservation research to date has focused on understanding technical steps in preserving digital objects and there has been less attention paid to assumptions about selection and the conceptual underpinnings of practice. Selection is done, not conceptualised. Therefore the aim of this research was to investigate the theory and practice of selection for digital preservation in UK memory institutions. The objectives employed to achieve this aim were firstly to examine the underlying theory relating to selection in libraries, archives and museums of non-digital material. The research then went on to investigate who the stakeholders are in selection, how selection of digital material is performed and identifying the key influential factors in selection. An intensive, qualitative approach was used to complete these objectives. A thorough review of the literature provided a theoretical background to selection in libraries, archives and museums. Then preliminary data were gathered through a set of exploratory interviews with eight digital preservation experts in order to provide an overview of selection for digital preservation. The findings from these interviews then formed the basis for the second set of interviews with twenty five practitioners working in libraries, archives and museums. The views of practitioners were under-explored in the literature although it is they that perform selection. In addition to these interviews, twenty two current digital preservation policies were examined. This research has found that there is on the whole little change required for selecting digital material, in comparison to selecting non-digital material, although technical criteria relating to the ability of the institution to manage and preserve the material are of high importance. There is a clear assumption in institutions of selection leading only to permanent collecting, which should be questioned. This research has uncovered drivers to selection, including external funders, and barriers, which include a lack of confidence and knowledge on the part of practitioners in how to select and manage digital material. Concepts identified through this research provide a deeper understanding of selection for digital preservation in different contexts and encapsulate key factors underpinning selection. The concept of professionalism is a key factor; the need to be professional and ethical guide s practitioners through specific professional skills and knowledge. The practitioners become engaged with digital material and the level of engagement mirrors the way digital material is conceptualised by practitioners. Many stakeholders were identified, including managers, senior managers, users, creators and donors, funders, other organisations and IT staff. Relationships with stakeholders and the possible roles they play in selection were found to be key factors in selection. These findings contributed to the achievement of the final objective, which was to develop a conceptual model of key factors underpinning selection for of digital material for preservation. The conceptual model consists of five main concepts and their relationships: professionalism; relationships; organisational capabilities; material properties; and boundaries. There is a clear need for greater availability and access to training and networking opportunities for practitioners in order to increase engagement with digital material. Through this research, factors relating to selection have been identified and conceptualised. It has uncovered issues not previously addressed, in particular relating to the social aspect of selection. This research provides an understanding of the complexities of selection and the influences upon it

Digital Preservation Services : State of the Art Analysis

Research report funded by the DC-NET project.An overview of the state of the art in service provision for digital preservation and curation. Its focus is on the areas where bridging the gaps is needed between e-Infrastructures and efficient and forward-looking digital preservation services. Based on a desktop study and a rapid analysis of some 190 currently available tools and services for digital preservation, the deliverable provides a high-level view on the range of instruments currently on offer to support various functions within a preservation system.European Commission, FP7peer-reviewe

JISC Preservation of Web Resources (PoWR) Handbook

Handbook of Web Preservation produced by the JISC-PoWR project which ran from April to November 2008. The handbook specifically addresses digital preservation issues that are relevant to the UK HE/FE web management community”. The project was undertaken jointly by UKOLN at the University of Bath and ULCC Digital Archives department

Drivers for digital twin adoption in the construction industry : a systematic literature review

Digital twin (DT) is gaining increasing attention due to its ability to present digital replicas of existing assets, processes and systems. DT can integrate artificial intelligence, machine learning, and data analytics to create real-time simulation models. These models learn and update from multiple data sources to predict their physical counterparts’ current and future conditions. This has promoted its relevance in various industries, including the construction industry (CI). However, recognising the existence of a distinct set of factors driving its adoption has not been established. Therefore, this study aims to identify the drivers and integrate them into a classification framework to enhance its understanding. Utilising popular databases, including Scopus, Web of Science, and ScienceDirect, a systematic literature review of 58 relevant DT adoptions in the CI research was conducted. From the review, the drivers for DT adoption in the CI were identified and classified. The results show that developed countries such as the UK, US, Australia, and Italy have been the top countries in advancing DT adoption in the CI, while developing countries have made commendable contributions. A conceptual framework has been developed to enhance the successful adoption of DT in the CI based on 50 identified drivers. The major categories of the framework include concept-oriented drivers, production-driven drivers, operational success drivers, and preservation-driven drivers. The developed framework serves as a guide to propel DT adoption in the CI. Furthermore, this study contributes to the body of knowledge about DT adoption drivers, which is essential for DT promotion in the CI

A cost engine system for estimating whole-life cycle cost of long-term digital preservation activities

This research paper presents a cost engine system that estimates the whole life cycle cost of long-term digital preservation (LTDP) activities using cloud-based technologies. A qualitative research methodology has been employed and the activity based costing (ABC) technique has been used to develop the cost model. The unified modelling language (UML) notation and the object oriented paradigm (OOP) are utilised to design the architecture of the software system. In addition, the service oriented architecture (SOA) style has been used to deploy the function of the cost engine as a web service in order to ensure its accessibility over the web. The cost engine is a module that is part of a larger digital preservation system and has been validated qualitatively through experts’ opinion. Its benefits are realised in the accurate and detailed estimation of cost for companies wishing to employ LTDP activities

DATUM for Health: Research data management training for health studies

This collaborative project sought to promote research data management skills of postgraduate research students in the health studies discipline through a specially-developed training programme which focuses on qualitative, unstructured research data. The project aimed to: design and pilot a training programme on research data management for postgraduate research students in health studies as an integral part of a doctoral training programme evaluate the usefulness and effectiveness of the training with participants and other research stakeholders provide other Higher Education Institutions with a model for research data management skills training make recommendations for sustainable research data management training and associated infrastructure requirements. The project was funded by JISC under their Managing Research Data (JISCMRD) Programme. The project ran from 1st October 2010 to 31st July 2011

Cost modelling for cloud computing utilisation in long term digital preservation

The rapid increase in volume of digital information can cause concern among organisations regarding manageability, costs and security of their information in the long-term. As cloud computing technology is often used for digital preservation purposes and is still evolving, there is difficulty in determining its long-term costs. This paper presents the development of a generic cost model for public and private clouds utilisation in long term digital preservation (LTDP), considering the impact of uncertainties and obsolescence issues. The cost model consists of rules and assumptions and was built using a combination of activity based and parametric cost estimation techniques. After generation of cost breakdown structures for both clouds, uncertainties and obsolescence were categorised. To quantify impacts of uncertainties on cost, three-point estimate technique was employed and Monte Carlo simulation was applied to generate the probability distribution on each cost driver. A decision support cost estimation tool with dashboard representation of results was developed