In recent years, collaboration has become the norm in scientific knowledge production. Like other forms of collaboration, research collaborations (RCs) face specific problems that can jeopardize success. Against this background, the present study sought to gain a deeper understanding of the relevance of different collaboration problems and the interconnections among these problems. Building on previous insights into the most current problems, we addressed four major issues: (1) researchers' perceived relative relevance of collaboration problems in their projects (in terms of their occurrence), (2) differences in these perceptions based on the type of RC (e.g., number of subprojects and collaboration mode) and (3) on the characteristics of researchers, and (4) the co-occurrence of collaboration problems. Based on a representative survey of leading participants of RCs funded by the German Research Foundation (n = 5,326), we found that researchers experienced collaboration problems (e.g., fairness and communication problem) only to a small degree, and there were almost no differences regarding their perceived relevance. Furthermore, there were almost no significant differences concerning the perceived relevance of these problems depending on the type of RC or the individual researchers. However, the findings did reveal specific patterns of co-occurrence (e.g., relationship and difference problem). The results suggest that previous research may have overstated the relevance of collaboration problems in RCs. Instead, it seems that at least in Germany, collaborative research works better than one might assume.

Norwegian data show that from 2018 to 2020, enterprises in densely populated regions increased R&D investments relative to those in sparsely populated regions, but not from 2016 to 2018. Therefore, COVID-19 likely induced the shift. The findings imply that densely populated regions have become more R&D-intensive, while sparsely populated regions have become less R&D-intensive during the pandemic. Small enterprises increased both R&D investments and employment from 2018 to 2020 relative to large enterprises and the analyses control for regression toward the mean effects. The findings were similar to those observed in the period from 2016 to 2018, which rules out COVID-19 as an explanation. Instead, the waves of data indicate a long-term trend where small enterprises increased R&D investments and employment.

A large body of literature on gender differences in scientific publication output has clearly established that women scientists publish less that men do. Yet, no single explanation or group of explanations satisfactorily accounts for this difference, which has been called the “productivity puzzle”. To provide a more refined portrait of the scientific publication output of women in relation to that of their male peers, we conducted a web-based survey in 2016 of individual researchers across all African countries, except Libya. The resulting 6,875 valid questionnaires submitted by respondents in the STEM, Health Science and SSH fields were analyzed using multivariate regressions on the self-reported number of articles published in the preceding 3 years. Controlling for a variety of variables including career stage, workload, mobility, research field, and collaboration, we measured the direct and moderating effect of gender on scientific production of African researchers. Our results show that, while women's scientific publication output is positively affected by collaboration and age (impediments to women's scientific output decrease later in their careers), it is negatively impacted by care-work and household chores, limited mobility, and teaching hours. Women are as prolific when they devote the same hours to other academic tasks and raise the same amount of research funding as their male colleagues. Our results lead us to argue that the standard academic career model, relying on continuous publications and regular promotions, assumes a masculine life cycle that reinforces the general perception that women with discontinuous careers are less productive than their male colleagues, and systematically disadvantages women. We conclude that the solution resides beyond women's empowerment, i.e., in the broader institutions of education and the family, which have an important role to play in fostering men's equal contribution to household chores and care-work.

IntroductionFruit losses in the supply chain owing to improper handling and a lack of proper control are common in the industry. As losses are caused by the inefficiency of the export method, selecting the appropriate export method is a possible solution. Several organizations employ only a single strategy, which is mainly based on a first-in-first-out approach. Such a policy is easy to manage but inefficient. Given that the batch of fruits may become overripe during transportation, frontline operators do not have the authority or immediate support to change the fruit dispatching strategy. Thus, this study aims to develop a dynamic strategy simulator to determine the sequence of delivery based on forecasting information projected from probabilistic data to reduce the amount of fruit loss.MethodsThe proposed method to accomplish asynchronous federated learning (FL) is based on blockchain technology and a serially interacting smart contract. In this method, each party in the chain updates its model parameters and uses a voting system to reach a consensus. This study employs blockchain technology with smart contracts to serially enable asynchronous FL, with each party in the chain updating its parameter model. A smart contract combines a global model with a voting system to reach a common consensus. Its artificial intelligence (AI) and Internet of Things engine further strengthen the support for implementing the Long Short-Term Memory (LSTM) forecasting model. Based on AI technology, a system was constructed using FL in a decentralized governance AI policy on a blockchain network platform.ResultsWith mangoes being selected as the category of fruit in the study, the system improves the cost-effectiveness of the fruit (mango) supply chain. In the proposed approach, the simulation outcomes show fewer mangoes lost (0.035%) and operational costs reduced.DiscussionThe proposed method shows improved cost-effectiveness in the fruit supply chain through the use of AI technology and blockchain. To evaluate the effectiveness of the proposed method, an Indonesian mango supply chain business case study has been selected. The results of the Indonesian mango supply chain case study indicate the effectiveness of the proposed approach in reducing fruit loss and operational costs.

BackgroundThis study outlines a comprehensive analysis of the primary characteristics of managing research integrity (RI) in domestic colleges and universities in China. RI education in China consists primarily of soft advocacy, with no hard requirements or continuous and systematic support. Together with other stakeholders, such as funders and publishers, higher education institutions (e.g., colleges and universities) are one of the vital actors that have a lot of influence on RI promotion and implementation among researchers. However, the literature on the regulation of RI policies in China's universities is limited.MethodsWe investigate the top 50 colleges and universities in the 2021 Best Chinese Universities Ranking. Their guidance and policy documents on RI were collected via their official websites. By integrating the use of scientometrics analysis, including descriptive statistical analysis, inductive content analysis, and quantitative analysis, we examine whether and how these higher education institutions respond to national policies in a timely manner, especially in terms of their frequency of updates, topic clustering analysis, terms clustering analysis, content aggregation. To further understand the composition mechanism and the main working systems of university RI management organizations, we conducted in-depth research on the organizational functions, meeting system, staff composition mechanism, and scientific research misconduct acceptance and investigation mechanisms.ResultsThe regulations on the treatment of RI in China's universities have, in response to the government's call to establish their own management policies and working mechanisms, maintained a zero-tolerance stance on research misconduct. The sampled universities listed the definition and principles of misconduct practices, investigation procedures, and sanctions of research misconduct in their own policy documents. Some of them listed inappropriate research practices All 50 sampled universities have formed relevant organizations responsible for RI management, they all provide the detailed regulations of the committees. Yet, there is still a need to further define Questionable Research Practice, foster higher standards for integrity in research and, establish and improve an efficient, authoritative, well-restrained and supervision working mechanism for organizations responsible for RI treatment.

As a member of an Indigenous community myself, my research is necessarily undertaken through an emancipatory Indigenist methodological approach. Indigenous methodologies seek to deconstruct Western paradigms of investigation and understandings that perpetuate the invalidation of Indigeneity, and instead attempt to constitute paradigms centred on Indigenous worldviews. However, Indigenous researchers often work with communities that are not their own. In my case, I have collaborated in a small amount of research with Indigenous groups outside of my own country. But, the majority of my research has been with New Zealand Māori communities other than my own. Key for me, has been the development of personal strategies aimed at keeping me culturally safe in my research with other Indigenous communities, while being secure in my own Indigenous identity. I seek to be culturally respectful in the space of others - safeguarding local Indigenous research sovereignty.

Improved African pharmaceutical manufacturing has been on global and local agendas since the 1970s, yet the industry has been locked-in into low technologies for decades. What caused the technological and industrial stagnation for such a critical sector for local and global health security? What are the political economy roots of such long-running industrial underdevelopment lock-in? What do colonial extractive economic and political institutions and their setup and mixes have to do with the sector? This study considers how extractive economic and political institutions' architectures and infrastructures shaped the African pharmaceutical industry's underdevelopment. We argue that extractive economic and political institutions shaped contemporary institutions in former colonial countries, and these institutions persist for a long time. The pivotal argument of innovation systems is that technological change-driven innovation is important for building superior economic performance and competitiveness, and institutions are a vital component of the system. However, institutions are not value-neutral; they carry the political and economic objectives and aspirations of the agents who design them. Innovation systems theory needs to incorporate the analysis of extractive economic and political institutions and the role they played in locking-in the African pharmaceutical industries into underdevelopment.

Retractions are among the effective measures to strengthen the self-correction of science and the quality of the literature. When it comes to self-retractions for honest errors, exposing one's own failures is not a trivial matter for researchers. However, self-correcting data, results and/or conclusions has increasingly been perceived as a good research practice, although rewarding such practice challenges traditional models of research assessment. In this context, it is timely to investigate who have self-retracted for honest error in terms of country, field, and gender. We show results on these three factors, focusing on gender, as data are scarce on the representation of female scientists in efforts to set the research record straight. We collected 3,822 retraction records, including research articles, review papers, meta-analyses, and letters under the category “error” from the Retraction Watch Database for the 2010–2021 period. We screened the dataset collected for research articles (2,906) and then excluded retractions by publishers, editors, or third parties, and those mentioning any investigation issues. We analyzed the content of each retraction manually to include only those indicating that they were requested by authors and attributed solely to unintended mistakes. We categorized the records according to country, field, and gender, after selecting research articles with a sole corresponding author. Gender was predicted using Genderize, at a 90% probability threshold for the final sample (n = 281). Our results show that female scientists account for 25% of self-retractions for honest error, with the highest share for women affiliated with US institutions.

Social media rumors have the capacity to harm the public perception and the social progress. The news propagation pattern is a key clue for detecting rumors. Existing propagation-based rumor detection methods represent propagation patterns as a static graph structure. They simply consider the structure information of news distribution in social networks and disregard the temporal information. The dynamic graph is an effective modeling tool for both the structural and temporal information involved in the process of news dissemination. Existing dynamic graph representation learning approaches struggle to capture the long-range dependence of the structure and temporal sequence as well as the rich semantic association between full graph features and individual parts. We build a transformer-based dynamic graph representation learning approach for rumor identification DGTR to address the aforementioned challenges. We design a position embedding format for the graph data such that the original transformer model can be utilized for learning dynamic graph representations. The model can describe the structural long-range reliance between the dynamic graph nodes and the temporal long-range dependence between the temporal snapshots by employing a self-attention mechanism. In addition, the CLS token in transformer may model the rich semantic relationships between the complete graph and each subpart. Extensive experiments demonstrate the superiority of our model when compared to the state of the art.

IntroductionDo externalities work and matter differently in a world of scarcity vs. a world of abundance? In this article, we critically examine the economic phenomena of externalities. The concept of externality, an important idea in economics and law, is useful in exploring the complex and dynamic relationships between resource supply and human flourishing within various sociotechnical systems.MethodsFirst, we define the basic concept and explain why it is fundamental to economic analysis of complex social environments Second, we briefly survey the intellectual history of externalities with the goal of tying together a few different strands of economic theory and providing a roadmap for a general theory of externalities. This discussion highlights a latent conflict between those who pursue and those who resist perfectibility (optimization) of social systems by internalizing externalities. Third, we compare externalities in worlds of scarcity and abundance.ResultsThis article develops the theoretical framework, including a brief intellectual history and notes toward the development of a general theory of externalities. As a conceptual tool, externalities enable one to identify and examine social interdependencies and to map their causes and consequences. Externalities provide evidence of social demand for governance institutions. This descriptive utility can and should inform normative analysis, the design of governance institutions, and comparative institutional analysis. We also raise a series of (mostly empirical) questions that should frame comparative institutional analysis and evaluation of different externalities in the digital networked world.DiscussionWe focus on the scarcity and abundance of knowledge resources and the (technological) means for participating in the production, dissemination, and modification of such resources. In the real, necessarily imperfect world where abundance and scarcity vary across resources, people, and contexts, externalities persist, indicate social demand for governance, and inform comparative analysis and design of governance institutions.JEL classificationD62, B52, D02.

IntroductionBy a series of calls within the Horizon 2020 framework programme, the EU funded projects intended to deploy Responsible Research and Innovation (RRI) at a territorial level, in regional research and innovation ecosystems. This paper presents efforts to document and evaluate the achievements in TRANSFORM, one of these projects.MethodsEvaluative inquiry and theoretical reasoning.ResultsNoting the need for a general principle to be interpreted, adapted and translated in order to be rendered meaningful at a local level, we studied precisely these multiple territorial translations of RRI, the organizational and institutional orderings with which they co-emerge and the challenges that come with these translations. An important shared feature is that RRI work does not start from zero, but rather builds on pre-existing relationships and repertoires of collaboration. The RRI project is hence a way to continue ongoing work and follow pre-set purposes, aims and objectives, as a form of “maintenance work”. In this very human sense, RRI is deployed with a logic of care in the regional context, while the Horizon 2020 calls and proposals above all are formulated in a logic of choice, to be assessed by indicators.DiscussionWe warn against undue standardization of RRI by toolification and use of quantitative indicators, and recommend that RRI performance is monitored by methods of evaluative inquiry.

Brand loyalty is seen as a repeat purchase and the ability to recommend services or products. Telecommunication service providers require loyal customers to stay in business. The current study examines the impact of brand function and corporate image on customer loyalty in the telecommunication industry. The research employed a total of 971 responses from an anonymous online survey of telecommunication customers in Africa, Europe, and North America. Employing partial least squares, the study examined the relationships between brand function, corporate image, and loyalty. The result showed that brand function and corporate image have a significant positive effect on customer satisfaction. In addition, a machine learning algorithm was used to model the best prediction for consumer recommendations of products and services provided by their telecommunication service provider to friends and family.

Scientific diasporas have been identified as valuable resources to strengthen science, technology, and innovation in their countries of origin. In this context, our paper seeks to contribute by addressing the following research questions: What are the main features of the Costa Rican scientific diaspora, and what policy lessons can be extracted from their experiences abroad? Toward this goal, we analyzed ten years of diaspora perspectives as collected by TicoTal, an online database and network of Costa Rican scientists studying and working abroad created by the National Academy of Sciences (ANC) in 2010. Our study reveals the main features of the Costa Rican scientific diaspora using 121 interviews published over a ten-year period: we identified the academic areas in which the diaspora has specialized, the countries where they were trained, their current location, the most frequent funding mechanisms and sources that enabled professional opportunities abroad, the level of engagement and collaboration they maintain with the Costa Rican STI ecosystem, along with the incentives they consider important to support and harness the potential of this community to advance STI goals in the country. Results from this analysis can inform national policies and investment strategies in R&D infrastructure and resources, by providing a roadmap to engage with scientific diasporas and benefit from their training and talent, as well as guide future scholarship and exchange programs.

IntroductionOrganizational culture determines the ability of companies to adapt, transform, and innovate, thereby directly affecting their profitability and competitiveness. However, the same applies to the public sector since, now more than ever, it has to be agile in order to shield its society and economy against modern challenges (such as COVID-19, climate change, and digitalization). This article uses the case of Greece as an example to present the need for change in organizational culture to unlock its development and growth potential through transformation, adaptation, and innovation. To support our argument, we combine the findings of the international literature regarding the relationship between organizational culture and the aforementioned elements, as well as empirical evidence from Greece.MethodsIn particular, we assess organizational culture pertaining to the major sector reforms that took place in Greece, as a result of the recent economic and financial crisis, by presenting and evaluating comparative empirical findings on the characteristics of the prevailing and desired future organizational culture.Results and discussionExamining and comparing the results of previous studies in Greece that used the Organizational Culture Assessment Instrument (OCAI) questionnaire survey in both private (such as banking and telecoms) and public sectors (such as social security, public revenues authority, and hospitals), two interesting results arise: (i) there is a clear distinction between the public sector and the private sector, with the former being mainly characterized by “hierarchy culture,” while the latter by “market culture” and (ii) in both sectors and all industries/services, the desire to prevail in future organizational culture is the “clan culture.” These findings are of immense importance as organizational culture issues play a key role in formulating future strategic plans, enabling the development of key sectors of the Greek economy and enhancing effective governance and social services. Concisely, our results draw useful conclusions for policy implications and academics, implying that there is an emergent need for organizational transformation in both private and public sectors in Greece, which can be achieved through new innovative methods of organization and operation, creating a new more agile, adaptive, and innovative culture.

Traditionally, access to research information has been restricted through journal subscriptions. This means that research entities and individuals who were unable to afford subscription costs did not have access to journal articles. There has however been a progressive shift toward electronic access to journal publications and subsequently growth in the number of journals available globally. In the context of electronic journals, both open access and restricted access options exist. While the latter option is comparable to traditional, subscription-based paper journals, open access journal publications follow an “open science” publishing model allowing scholarly communications and outputs to be publicly available online at no cost to the reader. However, for readers to enjoy open access, publication costs are shifted elsewhere, typically onto academic institutions and authors. SARS-CoV-2, and the resulting COVID-19 pandemic have highlighted the benefits of open science through accelerated research and unprecedented levels of collaboration and data sharing. South Africa is one of the leading open access countries on the African continent. This paper focuses on open access in the South African higher education research context with an emphasis on our Institution and our own experiences. It also addresses the financial implications of open access and provides possible solutions for reducing the cost of publication for researchers and their institutions. Privacy in open access and the role of the Protection of Personal Information Act (POPIA) in medical research and secondary use of data in South Africa will also be discussed.

COPYRIGHT © 2022 Wadhwa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Solving humanity’s grand challenges: Water, food, and energy

The technology driven post-scarcity society is upon us. Ubiquitous technologies are eradicating scarcity in many industries. These macroscopic system trends are causing our economy to transition from relative scarcity to relative abundance. For many people in the world however, in both developed, developing, and underdeveloped countries, the notion of an Age of Abundance will sound utterly bizarre. There is a tension between abundance and equality. Good governance considers in what manner the state conducts public policy, manages public resources and promotes overall prosperity. This chapter connects good governance to the end of scarcity and integrates equality into abundance. The chapter critically examines the normative justifications of our scarcity based legal institutions, such as property and intellectual property (IP) systems, in light of 10 exponential, Fourth Industrial Revolution (4IR) technologies, and the post-scarcity economy. Starting point is that absolute and relative abundance are not utopian. Technology will erase scarcity in more and more economic areas in the foreseeable future, but not everywhere or for everybody. The chapter views relative scarcity and relative abundance as temporal socio-economic categories at two opposite sides of a continuum. The chapter unifies good governance with equality and abundance, by introducing a post-Rawlsian Equal Relative Abundance (ERA) principle of distributive justice. This includes defining a set of material and immaterial primary goods, warranting adequate, sufficient levels of relative abundance (which depend on technological evolution), and equitable results per region or group. Crucially, ERA integrates desert-based principles to the degree that some may deserve a higher level of material goods because of inequality in contributions, i.e., their hard work, talent, luck or entrepreneurial spirit, only to the extent that their unequal rewards do also function to improve the position of the least advantaged. A society governed by the ERA principle should in theory be able to solve the poverty trap on a global level. As lifting people from poverty in Europe is a different thing than achieving ERA in the US, applying equal relative abundance techniques in Asia and Africa each have their own specific challenges and dimensions.

Digital transformation has become a core aspect of lived experiences in recent years. Digital transformation has led to many aggregate benefits in the United States and throughout the world. The distribution of these benefits remains an issue of continuing contention. Digital transformation has occurred in contexts of significant disruption, both positive and negative. Although the positive aspects of disruption are often celebrated, potential negative consequences of digital transformation may not be adequately recognized. Digital transformation may, along with other factors, intensify existing societal divides, lead to greater inequality in many places, and contribute to a scarcity of opportunity for many people. Dealing with potentially adverse consequences of digital transformation requires flexible approaches to regulation and systematic use of metrics. Digital transformation also implicates policy issues, including those concerning technology infrastructure and education and training. Digital economy policies must take account of the requirements of an economy permeated with the effects of digital transformation. Addressing digital economy adversities will require greater attention to digital economy participation and inclusion. Fostering digital economy inclusion requires attention to both the distribution of digital economy benefits and preconditions for digital economy participation.

Analyzing the impact of a sustainability agenda in research and innovation on system transition is a critical research topic. This literature stream aims to examine how research and innovation can deal with wicked-problems at a dynamic system level to create more sustainable future systems. However, this study addresses two main issues in the current sustainability transition literature. First, the literature to date offers little insight into concrete implications for the management of innovation processes at the organizational level. Second, sustainability is often addressed as per se desirable. While the concept of Sustainable Innovation (SI) can valuably contribute in addressing the first issue by providing essential features to analyze business management procedures and their broader implications on socio-technical systems, it falls short in addressing the second issue. Essential aspects of sustainability, such as the responsibility for potential future trade-offs through innovation, are not strategically integrated into the current framework. This study argues that without strategic integration of responsibility, there is a risk of contributing to a partially-sustainable—”irresponsible”—socio-technical system change as a result of business innovation activities. Therefore, an extended innovation process model for sustainability to embed responsibility at the core of innovation activities is required. For this purpose, the framework of Responsible Research and Innovation (RRI) is utilized. This paper reports on findings from a systematic literature review of a representative sample of empirical studies from the SI and RRI literature. Thereby, the goal was to extend the understanding of management opportunities within innovation processes for sustainability through the implementation of RRI principles, in order to create sustainable socio-technical systems.

Twentieth-century communications law was built on the assumption of scarcity-radio spectrum as a scarce natural resource and telephone networks as a natural monopoly. Scarcity justified both rate regulation and content regulation of the services offered over these communications resources. Telephone networks were subject to the nondiscrimination rules of common carriage, and the Supreme Court in Red Lion Broadcasting v. FCC famously upheld the “fairness doctrine,” which required that both sides of public issues be discussed fairly over broadcast media, expressly on the rationale that the scarcity of the airwaves justified content-based regulation under the First Amendment. As the century drew to a close, however, technological developments cast doubt on the assumption of scarcity and, therefore, much of the legal framework of communications law. In this chapter, I explain how both incumbent and startup providers reacted to this seeming technological abundance with acts aimed at creating or re-creating economic scarcity97strongly resisting encroachments on exclusive franchises or collusively slowing or halting the rollout of alternative networks97and how communications law has failed to keep up. It is widely acknowledged that our current statutory law is maladapted to modern technology, but in this work I recast the ongoing fights over net neutrality, affordable broadband, and platform speech regulation in terms of scarcity and abundance and argue that Red Lion is still with us in spirit97communications law should address the sources and effects of economic. I sketch out what such regulation might start to look like and conclude with some thoughts about what this story means for the central thesis of this volume.

Reporting and presentation of research activities and outcome for research institutions in official, normative standards are more and more important and are the basis to comply with reporting duties. Institutional Current Research Information Systems (CRIS) serve as important databases or data sources for external and internal reporting, which should ideally be connected with interfaces to the operational systems for automated loading routines to extract relevant research information. This investigation evaluates whether (semi-) automated reporting using open, public research information collected via persistent identifiers (PIDs) for organizations (ROR), persons (ORCID), and research outputs (DOI) can reduce effort of reporting. For this purpose, internally maintained lists of persons to whom an ORCID record could be assigned (internal ORCID person lists) of two different German research institutions—Osnabrück University (UOS) and the non-university research institution TIB—Leibniz Information Center for Science and Technology Hannover—are used to investigate ORCID coverage in external open data sources like FREYA PID Graph (developed by DataCite), OpenAlex and ORCID itself. Additionally, for UOS a detailed analysis of discipline specific ORCID coverage is conducted. Substantial differences can be found for ORCID coverage between both institutions and for each institution regarding the various external data sources. A more detailed analysis of ORCID distribution by discipline for UOS reveals disparities by research area—internally and in external data sources. Recommendations for future actions can be derived from our results: Although the current level of coverage of researcher IDs which could automatically be mapped is still not sufficient to use persistent identifier-based extraction for standard (automated) reporting, it can already be a valuable input for institutional CRIS.

China has significantly endeavored to promote research integrity. Institutions, which have been identified as the primarily responsible entity, face challenges and concerns of compliance, quality, and low efficiency. In this perspective, the problems and root causes of these challenging concerns are clarified from the Chinese viewpoint. In conclusion, the opinion that institutions should be more proactive and transparent in promoting research integrity is discussed. A practical suggestion is proposed, including team building, policy innovation, capacity building, researcher empowerment, and experience sharing.

With the Square Kilometer Array (SKA) project and the new Multi-Purpose Reactor (MPR) soon coming on-line, South Africa and other collaborating countries in Africa will need to make the management, analysis, publication, and curation of “Big Scientific Data” a priority. In addition, the recent draft Open Science policy from the South African Department of Science and Innovation (DSI) requires both Open Access to scholarly publications and research outputs, and an Open Data policy that facilitates equal opportunity of access to research data. The policy also endorses the deposit, discovery and dissemination of data and metadata in a manner consistent with the FAIR principles – making data Findable, Accessible, Interoperable and Re-usable (FAIR). The challenge to achieve Open Science in Africa starts with open access for research publications and the provision of persistent links to the supporting data. With the deluge of research data expected from the new experimental facilities in South Africa, the problem of how to make such data FAIR takes center stage. One promising approach to make such scientific datasets more “Findable” and “Interoperable” is to rely on the Dataset representation of the Schema.org vocabulary which has been endorsed by all the major search engines. The approach adds some semantic markup to Web pages and makes scientific datasets more “Findable” by search engines. This paper does not address all aspects of the Open Science agenda but instead is focused on the management and analysis challenges of the “Big Scientific Data” that will be produced by the SKA project. The paper summarizes the role of the SKA Regional Centers (SRCs) and then discusses the goal of ensuring reproducibility for the SKA data products. Experiments at the new MPR neutron source will also have to conform to the DSI's Open Science policy. The Open Science and FAIR data practices used at the ISIS Neutron source at the Rutherford Appleton Laboratory in the UK are then briefly described. The paper concludes with some remarks about the important role of interdisciplinary teams of research software engineers, data engineers and research librarians in research data management.

The study presented in this article analyzed qualitative and quantitative data on the performance of the European Maritime and Fisheries Fund (EMFF) based on the information reported in the European Union (EU) List of Operations updated to December 2020. Each EMFF measure and type of financial support were divided into three broad categories of subsidies according to their main objectives and scope: capacity enhancing, beneficial, or ambiguous. Capacity enhancing is defined as funds that could incentive overcapacity or overfishing. Beneficial refers to subsidies that have a positive impact on fish stocks and the environment. Ambiguous subsidies correspond to funds that may lead to positive or negative impacts on the environment depending on how they are designed and implemented. The assessment revealed the asymmetric distribution of EMFF resources in the Mediterranean region. In the six member states investigated, EMFF support is concentrated on a limited number of more easily accessible measures from an administrative and financial point of view. Most of the allocated funds are classified as capacity enhancing; other frequently used measures are in the ambiguous category. Small-scale vessels using static gear and accounting for the largest part of the Mediterranean fleets received a negligible share of specific funds for promoting environmentally sustainable fisheries. Most investments are concentrated on larger trawlers to support the temporary cessation of fishing activities and scrapping operations. Further qualitative analysis based on the findings and recommendations of previous reports evaluating the use of EMFF as well as interviews with beneficiaries highlighted that complex administrative procedures and legal uncertainty in the interpretations of some articles of the EMFF regulations are the main reasons for the asymmetric performance of the EMFF measures. The dispersion of responsibilities among European, national and regional authorities, and an evident lack of coordination among them are the main shortcomings that were identified. The limited use of advance payments, the lack of capacity, and technical assistance and obstacles to accessing financial instruments have penalized most of the projects that are focused on innovation, diversification, and environmental sustainability.