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The purpose of this paper is three-fold. Firstly, through selected case studies, to provide an overview of how non-traditional data from digital public services were used as a source of knowledge for policymaking. Secondly, to argue for a design for policy approach to support the successful integration of non-traditional data into policymaking practice, thus supporting data-driven innovation for policymaking. Thirdly, to encourage a vision of the relation between data-driven innovation and public policy that considers policymaking outside the authoritative instrumental logic perspective.

A qualitative small-N case study analysis based on desk research data was developed to provide an overview of how data-centric public services could become a source of knowledge for policymaking. The analysis was based on an original theoretical-conceptual framework that merges the policy cycle model and the policy capacity framework.

This paper identifies three potential areas of contribution of a design for policy approach in a scenario of data-driven innovation for policymaking practice: the development of sensemaking and prefiguring activities to shape a shared rationale behind intra-/inter-organisational data sharing and data collaboratives; the realisation of collaborative experimentations for enhancing the systemic policy analytical capacity of a governing body, e.g. by integrating non-traditional data into new and trusted indicators for policy evaluation; and service design as approach for data-centric public services that connects policy decisions to the socio-technical context in which data are collected.

The small-N sample (four cases) selected is not representative of a broader population but isolates exemplary initiatives. Moreover, the analysis was based on secondary sources, limiting the assessment quality of the real use of non-traditional data for policymaking. This level of empirical understanding is considered sufficient for an explorative analysis that supports the original perspective proposed here. Future research will need to collect primary data about the potential and dynamics of how data from data-centric public services can inform policymaking and substantiate the proposed areas of a design for policy contribution with practical experimentations and cases.

This paper proposes a convergence, yet largely underexplored, between the two emerging perspectives on innovation in policymaking: data for policy and design for policy. This convergence helps to address the designing of data-driven innovations for policymaking, while considering pragmatic indications of socially acceptable practices in this space for practitioners.

The study aims to identify the prospects and challenges associated with current practices regarding digital data sets management in university libraries in Pakistan.

A cross-sectional survey approach was used to collect the data from library and information science (LIS) professionals working in public sector university libraries in Pakistan. A four-part questionnaire was used to collect the data from the respondents. The collected data from 371 participants were analyzed using a statistical package for social sciences (SPSS-24 version) and analysis of moment structure (AMOS-24).

LIS professionals are better placed to support digital data management practices, such as finding, collecting, assessing and analyzing digital data sets and making digital data publicly discoverable and accessible via open access. In spite of this, a lack of leadership support, interest and cooperation among university departments and the absence of a data management plan, policies and procedures were reported as significant challenges.

To meet the needs of data users, LIS professionals must become knowledgeable about managing and reusing digital data sets. Due to the demands of the information society, university librarians need to learn about data-centric practices that can enhance research outputs and provide new insights.

This research paper is extracted from a PhD dissertation to present a contemporary picture of library data management services and the challenges LIS professionals face to provide possible solutions.

The five papers in this special issue have been selected from presentations held at the 2003 Mobility Roundtable, held at Stockholm. Looks at the inevitable merge of the tele‐centric and data‐centric world and mobile Internet and how they have enabled mobile access in both professional and personal lifestyles. Evaluates demand, supply and culture. Opines that with future developments hard to predict new actors from other sectors, such as hotels and restaurants could, by merging their interests, provide a seamless roaming service. Conclusions drawn are that conceptions of mobility in all lifestyles will be broadened to expect an environment of continuous usage.

This interview introduces the concept of the “AI first company”, a new breed of organization that is transforming the economy and defining the emergence of a new age.

An interview with Harvard digital strategy experts, Marco Iansiti and Karim Lakhani, about their new book, Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Marco Iansiti is the David Sarnoff Professor of Business Administration at Harvard Business School (HBS) and heads the school’s Technology and Operations Management Unit and the Digital Initiative. Karim R. Lakhani is the Charles E. Wilson Professor of Business Administration at HBS, and the founder and co-director of the Laboratory for Innovation Science and co-founder of the Digital Initiative at Harvard. 10; 10;The authors were interviewed by Brian Leavy, emeritus professor of strategy at Dublin City University Business School and a Strategy & Leadership contributing editor.

Digital transformation is not about creating a digital function or spinning off a digital unit, it’s about fundamentally restructuring the core of the firm by building a data-centric operating architecture supported by an agile organization that enables on-going change.

Essentially, we are moving away from an era of core competencies that differ from industry to industry to an age shaped by data and analytics and powered by algorithms. The concept of network is superceding the concept of industry in defining strategic options for firms.

The emergence of the “Age of AI” has possibly created the greatest entrepreneurial opportunity in the history of civilization and the world is literally jammed with entrepreneurial activity. Marco Iansiti and Karim Lakhani suggest ways to maximize that opportunity.

The purpose of this paper is to make a systematic review of the library metadata development history listing out the most significant landmarks and influencing events from Thomas Bodley's rules to the latest BIBFRAME architecture, compare their significance and suitability in the modern-day Web environment.

Four time divisions were identified, namely pre-1900 era, 1900–1950, post-1950 to pre-Web era and post-Web era based on pre-set information available to the authors regarding catalogue rules. Under these four divisions, relevant information sources regarding the purpose of the study were identified; various metadata standards released at different times were consulted.

Library catalogue standards have undergone transitive changes from one form to another primarily influenced by the changing work environment and different forms of resource availability in libraries. Modern-day metadata standards are influenced by the opportunities provided by the World Wide Web towards libraries and work as a suitable base for data organisation at par with Semantic Web standards.

Information organisation processes have gone towards a more data-centric approach than earlier document-centric nature in current Semantic Web environment. Libraries had to make a move in this process, and modern-day guidelines in this regard bring the possibility of large-scale discovery services through curated information resources.

The study discovers relationships between key events in the course of development of metadata standards and provides suggestions and predictions regarding it's future developments.

This paper seeks to discuss the question of “openness” in e‐Science.

The study is based on 12 in‐depth interviews with principal investigators, project managers and developers involved in UK e‐Science projects, together with supporting documentary evidence from project web sites. The approach was to explore the juxtaposition of research governance at the institutional level and local research practices at the project level. Interview questions focused on research inputs, software development processes, access to resources, project documentation, dissemination of outputs and by‐products, licensing issues, and institutional contracts.

The findings suggest that, although there is a widely shared ethos of openness in everyday research practice, there are many uncertainties and yet‐to‐be resolved issues, despite strong policy imperatives towards openly shared resources.

The paper concludes by observing a stratification of openness in practice and the need for more nuanced understanding of openness at the level of policy making. This research was based on interviews within a limited number of e‐Science/Social Science projects and the intention is to address this in future work by scaling the study up to a survey that will reach the entire UK e‐Science/Social Science community.

The fundamental challenge in resolving openness in practice and policy, and thereby moving towards a sustainable infrastructure for e‐Science, is the coordination and integration of goals across e‐Science efforts, rather than one of resolving IPR (Intellectual Property Rights) issues, which has been the central focus of openness debates thus far.

The question of openness has previously been posed on the macro‐level of research policy, e.g. whether science as a whole can be characterized as open science, or in relation to the dissemination of published outputs, e.g. Open Access. Instead, a fine‐grained perspective is taken focusing on individual research projects and the various facets of openness in practice.

The paper aims to study realization requirements for the flexible enactment of artifact-centric business processes in a dynamic, collaborative environment and to develop a workflow execution framework that can effectively address those requirements.

This study proposed a framework and contract-based, event-driven architecture design and implementation that can directly realize collaborative artifact-centric business processes in service-oriented architecture (SOA) without any model conversion.

The results show that the approach is feasible in presenting several key benefits over the use of existing workflow systems to run artifact-centric processes.

Most of the existing approaches require an artifact-centric model to be transformed into executable workflow languages to run on existing workflow management systems. This study argues that the model conversion can incur losses of information and affect traceability and monitoring ability of workflows, especially in an SOA where a workflow can span across multiple inter-business entities.

The anticipated strong growth of the infrastructure industry over the coming decades will require more modern, digital approaches to create data-centric infrastructure that allows infrastructure to be monitored and managed throughout its lifecycle. Digital twins (DTs) are currently at an early stage in terms of their implementation on infrastructure projects across the United Kingdom (UK). The purpose of this paper is to evaluate the current uptake of DTs in delivering infrastructure sector projects and how DTs can help contribute towards strengthening the industry.

A systematic literature review approach has been conducted with the research questions derived from the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) article screening tool. In addition to this, inclusion and exclusion criteria have been used to screen irrelevant information and help streamline research documents. Following a screening of relevant information, 36 pieces of literature were reviewed in order to identify the key drivers, barriers, enabling technologies and use cases.

DTs have the potential to transform asset design, production and maintenance. However, to further advance the digital innovation in the UK infrastructure sector, further study is necessary. An emerging technology must be considered on a broader scale than just its technical aspects, particularly when it comes to DTs. With enabling technologies such as the Internet of Things (IoT), sensors and artificial intelligence (AI), the uptake of DTs appears promising. While current literature indicates that DTs offer clear benefits in the infrastructure sector, the uptake is low and hindered by both technical and non-technical challenges.

This paper provides a rich insight into the understanding and awareness of the DTs in delivering infrastructure sector projects and how the infrastructure sector has evolved in order to develop new ways of designing, constructing, operating and monitoring infrastructure assets. This study contributes towards informing leaders in the sector of the current uptake of DTs within the UK's infrastructure sector as well as how DTs can contribute towards strengthening the industry.