Emergent digital services in public libraries : a domain study

Purpose: This paper explores the emergence of digital services in the public library domain via an extensive study of the websites of all Scottish public library services Design/methodology/approach: In a 4 month period all 32 of Scotland’s public library authority websites were visited by a researcher. The goal of the researcher was to record the options available from the library homepages in the following way: •Role of library in providing page content: content provider or access provider? •Was the page providing a digital service? •What was the audience for the page? Adult, child, or not specified? •Description of page content •Any noted usability issues Each site was only visited to three levels below that of the initial homepage. Findings: The study found a good standard of innovation in digital services around LMS functions, offering users the ability to keep in control of their borrowing and reserving. In addition there was a consistent set of electronic reference resources subscribed to by multiple libraries, offering high quality information both within the library and for library members from their home or workplace. Problems were found with regards to guidance on the usage of these resources, as well as confusion and inconsistency in terminology usage across different library services. Research limitations/implications: The paper examines only Scottish public library sites, thus can only claim to be representative of that country. It also can only represent the sites at the time they were examined. Practical implications: The paper should be of interest to public and other librarians interested in patterns across web sites in their sector. Originality/value: This is the first national study of Scottish public library websites and its findings should be of value as a result

Planning strategically, designing architecturally : a framework for digital library services

In an era of unprecedented technological innovation and evolving user expectations and information seeking behaviour, we are arguably now an online society, with digital services increasingly common and increasingly preferred. As a trusted information provider, libraries are in an advantageous position to respond, but this requires integrated strategic and enterprise architecture planning, for information technology (IT) has evolved from a support role to a strategic role, providing the core management systems, communication networks, and delivery channels of the modern library. Further, IT components do not function in isolation from one another, but are interdependent elements of distributed and multidimensional systems encompassing people, processes, and technologies, which must consider social, economic, legal, organisational, and ergonomic requirements and relationships, as well as being logically sound from a technical perspective. Strategic planning provides direction, while enterprise architecture strategically aligns and holistically integrates business and information system architectures. While challenging, such integrated planning should be regarded as an opportunity for the library to evolve as an enterprise in the digital age, or at minimum, to simply keep pace with societal change and alternative service providers. Without strategy, a library risks being directed by outside forces with independent motivations and inadequate understanding of its broader societal role. Without enterprise architecture, it risks technological disparity, redundancy, and obsolescence. Adopting an interdisciplinary approach, this conceptual paper provides an integrated framework for strategic and architectural planning of digital library services. The concept of the library as an enterprise is also introduced

Fostering open science practice through recognising and rewarding research data management and curation skills

In a bid to improve research integrity, drive innovation, increase knowledge and to maximize public investment, researchers are increasingly under pressure to work in a more open and transparent way. This movement has been referred to as open science. Open science offers a range of potential and measurable benefits – for researchers and the institutions that employ them as well as for society more generally. However, to realise these benefits, we must work towards changing current research practices and behaviours. Researchers will need to acquire new research data management and curation skills that enable them to undertake a broader range of tasks along the entire research lifecycle – from undertaking new means of collaboration, to implementing data management and sharing strategies, to understanding how to amplify and monitor research outputs and to assess their value and impact. In parallel, information professionals who work to support researchers and the open science process will also need to expand their research data management and curation skillsets. It will be equally important that current recognition and reward systems are amended to reflect the application of such skillsets within a range of disciplines. This paper will explore the potential role that librarians can play in supporting and progressing open science and discuss some of the new skills that librarians may require if they are to fulfil this role effectively. Citing examples from the current UK research landscape, this paper will map these skills to the Wellcome Trust and Digital Science’s CRediT Taxonomy which was developed in 2013 to enable the broad range of contributions involved in producing research outputs to be more consistently described and rewarded

Ensuring the discoverability of digital images for social work education : an online tagging survey to test controlled vocabularies

The digital age has transformed access to all kinds of educational content not only in text-based format but also digital images and other media. As learning technologists and librarians begin to organise these new media into digital collections for educational purposes, older problems associated with cataloguing and classifying non-text media have re-emerged. At the heart of this issue is the problem of describing complex and highly subjective images in a reliable and consistent manner. This paper reports on the findings of research designed to test the suitability of two controlled vocabularies to index and thereby improve the discoverability of images stored in the Learning Exchange, a repository for social work education and research. An online survey asked respondents to "tag", a series of images and responses were mapped against the two controlled vocabularies. Findings showed that a large proportion of user generated tags could be mapped to the controlled vocabulary terms (or their equivalents). The implications of these findings for indexing and discovering content are discussed in the context of a wider review of the literature on "folksonomies" (or user tagging) versus taxonomies and controlled vocabularies

An empirical analysis of smart contracts: platforms, applications, and design patterns

Smart contracts are computer programs that can be consistently executed by a network of mutually distrusting nodes, without the arbitration of a trusted authority. Because of their resilience to tampering, smart contracts are appealing in many scenarios, especially in those which require transfers of money to respect certain agreed rules (like in financial services and in games). Over the last few years many platforms for smart contracts have been proposed, and some of them have been actually implemented and used. We study how the notion of smart contract is interpreted in some of these platforms. Focussing on the two most widespread ones, Bitcoin and Ethereum, we quantify the usage of smart contracts in relation to their application domain. We also analyse the most common programming patterns in Ethereum, where the source code of smart contracts is available.Comment: WTSC 201

Information Outlook, April 2007

Volume 11, Issue 4https://scholarworks.sjsu.edu/sla_io_2007/1003/thumbnail.jp

Taxonomy of Technological IT Outsourcing Risks: Support for Risk Identification and Quantification

The past decade has seen an increasing interest in IT outsourcing as it promises companies many economic benefits. In recent years, IT paradigms, such as Software-as-a-Service or Cloud Computing using third-party services, are increasingly adopted. Current studies show that IT security and data privacy are the dominant factors affecting the perceived risk of IT outsourcing. Therefore, we explicitly focus on determining the technological risks related to IT security and quality of service characteristics associated with IT outsourcing. We conducted an extensive literature review, and thoroughly document the process in order to reach high validity and reliability. 149 papers have been evaluated based on a review of the whole content and out of the finally relevant 68 papers, we extracted 757 risk items. Using a successive refinement approach, which involved reduction of similar items and iterative re-grouping, we establish a taxonomy with nine risk categories for the final 70 technological risk items. Moreover, we describe how the taxonomy can be used to support the first two phases of the IT risk management process: risk identification and quantification. Therefore, for each item, we give parameters relevant for using them in an existing mathematical risk quantification model

A Taxonomy of Data Grids for Distributed Data Sharing, Management and Processing

Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this paper, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration. Through this taxonomy, we aim to categorise existing systems to better understand their goals and their methodology. This would help evaluate their applicability for solving similar problems. This taxonomy also provides a "gap analysis" of this area through which researchers can potentially identify new issues for investigation. Finally, we hope that the proposed taxonomy and mapping also helps to provide an easy way for new practitioners to understand this complex area of research.Comment: 46 pages, 16 figures, Technical Repor