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This Working Paper presents the process, methodology and results of the OECD 2019 Digital Government Index (DGI). It has three key objectives. First, the paper describes the design, the content and the methodology of the pilot OECD Survey on Digital Government 1.0 and outlines the data collection and verification process. Second, it presents the outcomes of different statistical tests to assess the robustness of the results, including tests to evaluate the sensitivity of the indicators to various weighting schemes. Third, the paper presents countries’ composite results and scores by each of the six dimensions comprised in the OECD Digital Government Policy Framework. Lastly, the paper outlines the key findings and messages based on these results.

This paper presents the methodological process and results of the OECD 2017 Open-Useful-Reusable Government data Index (OURdata Index). It is meant to present the methodology and outline the data collection and verification process; discuss key findings of the composite indicators including overall country scores and scores by pillars and sub-pillars; and show the outcomes of different statistical tests to assess the robustness of the results, including tests to evaluate the sensitivity of the indicators to various weighting schemes. The paper highlights the relevance of the Index to support the design and monitoring of open government data policies and practices leading to socio-economic outcomes and to the improved performance and efficiency of public sector organisations.

This paper presents the methodological process and results of the OECD 2017 Open-Useful-Reusable Government data Index (OURdata Index). It is meant to present the methodology and outline the data collection and verification process; discuss key findings of the composite indicators including overall country scores and scores by pillars and sub-pillars; and show the outcomes of different statistical tests to assess the robustness of the results, including tests to evaluate the sensitivity of the indicators to various weighting schemes. The paper highlights the relevance of the Index to support the design and monitoring of open government data policies and practices leading to socio-economic outcomes and to the improved performance and efficiency of public sector organisations.

Open Government Data (OGD) initiatives, and in particular the development of OGD portals, have proliferated since the mid-2000s both at central and local government levels in OECD and non OECD countries. Understanding the preconditions that enable the efficient and effective implementation of these initiatives is essential for achieving their overall objectives. This is especially true in terms of the role played by OGD in relation to Open Government policies in general. This paper highlights the main principles, concepts and criteria framing open government data initiatives and the issues challenging their implementation. It underlines the opportunities that OGD and data analytics may offer policy makers, while providing a note of caution on the challenges this agenda poses for the public sector. Finally, the overall analysis of key concepts and issues aims to pave the way for an empirical analysis of OGD initiatives. So far, little has been done to analyse and prove the impact and accrued value of these initiatives. The paper suggests a methodology comprising an analytical framework for OGD initiatives (to be applied to ex post and ex ante analysis of initiatives) and a related set of data to be collected across OECD countries. The application of the analytical framework and the collection of data would enable the acquisition of a solid body of evidence that could ultimately lead to mapping initiatives across OECD countries (i.e. a typography of initiatives) and developing a common set of metrics to consistently assess impact and value creation within and across countries.

Open Government Data (OGD) initiatives, and in particular the development of OGD portals, have proliferated since the mid-2000s both at central and local government levels in OECD and non OECD countries. Understanding the preconditions that enable the efficient and effective implementation of these initiatives is essential for achieving their overall objectives. This is especially true in terms of the role played by OGD in relation to Open Government policies in general. This paper highlights the main principles, concepts and criteria framing open government data initiatives and the issues challenging their implementation. It underlines the opportunities that OGD and data analytics may offer policy makers, while providing a note of caution on the challenges this agenda poses for the public sector. Finally, the overall analysis of key concepts and issues aims to pave the way for an empirical analysis of OGD initiatives. So far, little has been done to analyse and prove the impact and accrued value of these initiatives. The paper suggests a methodology comprising an analytical framework for OGD initiatives (to be applied to ex post and ex ante analysis of initiatives) and a related set of data to be collected across OECD countries. The application of the analytical framework and the collection of data would enable the acquisition of a solid body of evidence that could ultimately lead to mapping initiatives across OECD countries (i.e. a typography of initiatives) and developing a common set of metrics to consistently assess impact and value creation within and across countries. [PUBLICATION ABSTRACT]

Open Government Data (OGD) initiatives, and in particular the development of OGD portals, have proliferated since the mid-2000s both at central and local government levels in OECD and non OECD countries. Understanding the preconditions that enable the efficient and effective implementation of these initiatives is essential for achieving their overall objectives. This is especially true in terms of the role played by OGD in relation to Open Government policies in general. This paper highlights the main principles, concepts and criteria framing open government data initiatives and the issues challenging their implementation. It underlines the opportunities that OGD and data analytics may offer policy makers, while providing a note of caution on the challenges this agenda poses for the public sector. Finally, the overall analysis of key concepts and issues aims to pave the way for an empirical analysis of OGD initiatives. So far, little has been done to analyse and prove the impact and accrued value of these initiatives. The paper suggests a methodology comprising an analytical framework for OGD initiatives (to be applied to ex post and ex ante analysis of initiatives) and a related set of data to be collected across OECD countries. The application of the analytical framework and the collection of data would enable the acquisition of a solid body of evidence that could ultimately lead to mapping initiatives across OECD countries (i.e. a typography of initiatives) and developing a common set of metrics to consistently assess impact and value creation within and across countries.

Over the last decade the Open Government Data movement has successfully highlighted the value of data and encouraged governments to open up information for reuse both inside, and outside the public sector. This Working Paper argues that governments now need to go further and put the role and value of data at the core of thinking about the digital transformation of government. A data-driven public sector (DDPS) recognises that data are an asset, integral to policy making, service delivery, organisational management and innovation. The strategic approach governments take to building a DDPS can have a positive impact on the results they deliver by promoting evidence-led policy making and data-backed service design as well as embedding good governance values of integrity, openness and fairness in the policy cycle. After framing the concept the paper presents the opportunities offered by embracing the DDPS approach and identifies some of the challenges that governments may face in establishing a DDPS before concluding with the discussion of the need for coherent strategic approaches that reflect the role of data across the entire public sector, not only from a policy point of view but from an operational and practical perspective.

This Working Paper is intended to highlight the main opportunities and challenges for the use of emerging technologies (ET), and in particular emerging digital technologies, in the public sector. Based on the first results of the analysis of evidence collected in 20 countries, the paper offers a few insights on the state of the art on the strategies and practical examples on how governments are attempting to integrate ET in the public sector.

The European Food Safety Authority (EFSA) monitors the presence and concentration of contaminants in food to mitigate health risks. EU legislation sets maximum levels of heavy metals in foods, including cadmium (Cd), lead (Pb), and total Hg (THg) in seafood, due to their toxicity. In the framework of official control, between 2014 and 2023, 5854 seafood samples were collected and 4300 analyses for THg, 3338 for Cd, and 2171 for Pb were performed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and cold vapor atomic absorption spectrometry (CVAAS). The aim was to assess the proportion of contaminated foods in the dataset, the concentration of contaminants, and the potential health risks associated with their intake. Of the total samples analyzed, 142 (2.43%) were found to be non-compliant (n.c.). Concentrations exceeding the limits for Cd were primarily detected in cephalopods (n = 17), mainly squids. In contrast, Hg levels exceeded the limits in marine fish (n = 118), notably in swordfish (11.30% of n.c. samples among those analyzed for this species), sharks (6.48%), and tuna species (3.11%). Regarding Pb, only a single bivalve sample was found to exceed the maximum limits. A preliminary assessment of weekly exposure to Hg through swordfish consumption raised concerns about the frequent intake of marine top predators, particularly for vulnerable people.

Drug addiction is a chronic relapsing disorder characterized by compulsive drug seeking and use. Environmental conditioning factors are among the major determinants of relapse in abstinent cocaine users. Here we describe a role of the neuropeptide S (NPS) system in regulating relapse. In rats with a history of cocaine self-administration, presentation of stimuli predictive of drug availability reinstates drug seeking, triggering relapse. Intracerebroventricular (ICV) injection of NPS increased conditioned reinstatement of cocaine seeking, whereas peripheral administration of the NPS receptor antagonist SHA 68 reduced it. Manipulation of the NPS receptor system did not modify cocaine self-administration. We also found that ICV NPS administration activates c-Fos expression in hypocretin-1/orexin-A (Hcrt-1/Ox-A) immunoreactive neurons in the lateral hypothalamus (LH) and in the perifornical area (PeF). Of note, intra-LH and intra-PeF administration of NPS increased conditioned reinstatement of cocaine responding, an effect that was selectively blocked with the Hcrt-1/Ox-A receptor selective antagonist SB334867. Finally, results showed that intra-LH injection of the NPS antagonist [D-Cys(tBu) (5)]NPS blocked cue-induced cocaine seeking, indicating a role for this system in the pathophysiology of drug relapse.