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The amount and variety of data that companies collect, aggregate and analyse has increased dramatically in recent years. This paper investigates how the economic value of data can be conceptualised and measured from a business perspective. It discusses data monetisation as a strategy for developing new business models or enhancing traditional ones, and proposes a new taxonomy for data that focuses on measuring its business value. The paper also discusses how different data characteristics and types affect economic value, before examining the role of cross-border data flows as a key enabler of our global economy. As part of this discussion, the concept of a 'global data value chain' is presented, based on the idea that digitalisation enables the physical detachment of data collection, analysis, storage and monetisation. The paper concludes with a summary and discussion of the most promising avenues for measuring the economic value of data.

This report evaluates the costs and benefits of replacing postal delivery motorcycles with electric vehicles in eight Korean cities. It compares operating costs, safety performance, and environmental impacts based on data collected from a field trial with both vehicle types. In addition to the economic analysis, qualitative aspects are also discussed based on the findings of a focus group study. The results from the pilot programme provide an evidence base for policy initiatives in the delivery sector in Korea and beyond.

This report provides an overview of the policies and procedures for addressing terrorist and violent extremist content (TVEC) across the global top 50 online content sharing services, with a focus on transparency. It finds that only five of the 50 services issue transparency reports specifically about TVEC, and these five services take different approaches in their reports. These services use different definitions of terrorism and violent extremism, report different types of information, use different measurement and estimation methods, and issue reports with varying frequency and on different timetables. The low number of reporting companies and the variation in what, when and how they report make it impossible to get a clear and complete cross-industry perspective on the efficacy of companies’ measures to combat TVEC online and how they may affect human rights. This situation could be improved if more companies issued TVEC transparency reports and included more comparable information.

This paper assesses whether current policy environments are appropriate for the emergence of cloud computing technology. In particular, this research uses firm level data for Germany and the United Kingdom to examine the impact of capital incentive programmes (a common policy present in most OECD countries) on cloud adoption. The design for many of these policies target investments in physical capital while excluding digital services like the cloud. Firms view digital investments and digital services as substitutes, therefore narrowly defined incentive programmes may actually discourage the use of emerging tools like cloud computing, which are found to enable the growth and performance of young entrants. Overall, the results find that while capital incentive policies encourage firm investments in ICT and other forms of capital, they actually reduce the probability of cloud adoption. Policy makers may therefore need to reconsider the design of capital incentive programmes within their jurisdictions.

This report is the outcome of a joint activity between Science Europe and the OECD, and presents a generic framework for improving the use and operation of national research infrastructures (RIs), which play a key role in enabling and developing research in all scientific domains and represent an increasingly large share of research investment. It includes two guiding models: one for portfolio management and one for user-base optimisation. These identify the key principles of an effective national RI portfolio management system and the factors that RI managers should consider with regards to optimising the user base of national RIs. Both guiding models account for the diversity of national systems and RI operation approaches. The report also contains a series of more generic policy recommendations and suggested actions for RI portfolio managers and RI managers.

This report looks at the human resource requirements for data-intensive science, focusing primarily on research conducted in the public sector, and the related challenges and training needs. Digitalisation is, to some extent, being driven by science, while simultaneously affecting all aspects of scientific practice. Open science, including access to data, is being widely promoted, and investment in cyber-infrastructures and digital platforms is increasing; but inadequate attention has been given to the skills that researchers and research support professionals need to fully exploit these tools. The COVID-19 pandemic, which struck as this report was being finalised, has underscored the critical importance of data-intensive science and the need for strategic approaches to strengthening the digital capacity and skills of the scientific enterprise as a whole. The report includes policy recommendations for various actors and good practice examples to support these recommendations.

This report describes Norway’s landscape for Digital Science and Innovation Policy (DSIP) - the overarching framework through which governments make intensive use of digital technologies and data resources to support the formulation, delivery and administration of STI policy. The report describes how Norway’s DSIP landscape is shaped by its broader digital government framework and agenda, introduces the main actors in the DSIP system and discusses their main features in relation to their key objectives and the generic purposes of DSIP approaches. Special attention is paid to the role of STI statistics. It concludes by drawing out key findings and potential implications to help the Norwegian government identify opportunities that promote the system’s further development in line with its strategic objectives. This study also provides an indication of the potential opportunities and challenges that other countries might face when developing, implementing and maintaining digital systems for STI policy and administration.

Digitalisation is transforming the world of work and societies, and creating opportunities to learn and develop skills in new ways, times and places. The adoption and use of digital technologies can help Latin American countries close the skills gap with more advanced economies. Making the Most of Technology for Learning and Training in Latin America demonstrates how Latin American countries can realise the potential of new technologies for skills development in schools and all stages of life. It identifies barriers to accessing ICT infrastructure and connectivity limitations in Latin America, and provides recommendations on how they can be overcome to ensure that all students and citizens can benefit from new technologies for learning. The report explores the relationship between technology use in initial education and students’ performance in Latin America, and how policies can best support teachers as digital tools enter their classrooms. Digitalisation provides new opportunities for lifelong learning and this report examines the potential of open education and MOOCs in reaching those adults who are most in need of training in Latin American countries.

This report looks at how transdisciplinary research, which combines knowledge from different scientific disciplines with that of public and private sector stakeholders and citizens, can be used to address complex societal challenges. This includes developing effective responses in acute crises, such as the COVID-19 pandemic, as well as longer-term solutions for sustainability development. In a series of 28 case studies, each of which is briefly summarised in the report, it identifies the key obstacles to effectively implementing transdisciplinary research. Many of these are embedded in the way that research systems are structured and managed and they are amenable to policy intervention. Examples of how various actors, including funding agencies and universities are adapting to better accommodate the requirements of transdisciplinary research are included in the report and related policy actions are ascribed for these actors.