Harnessing Marine Open Data Science for Ocean Sustainability in Africa, South Asia, and Latin America

Open data for informal settlements: Toward a user׳s guide for urban managers and planners

Urban management in developing countries: A critical role

<span>Open data are available from various private and public institutions in different resource formats. There are already great number of open data that are published using open data portals, where datasets and resources are mainly presented in tabular or sheet formats. However, such formats have some barriers with application developments and web standards. One of the web recommenced standards for semantic web application is RDF. There are various research efforts have been focused on presenting open data in RDF formats. However, no framework has transformed tabular open data into RDFs considering the HTML tags and properties of the resources and datasets. Therefore, a methodology is required to generate RDF resources from this type of open data resources. This methodology applies data transformations of open data from a tabular format to RDF files for the Saudi Open Data Portal. The methodology successfully transforms open data resources in sheet format into RDF resources. Recommendations and future work are given to enhance the development of building open data.</span>

The way open data resources of varied type and volume are used by software applications remains only partly known. In this study, following CRoss-Industry Standard Process for Data Mining, we propose a methodology for collecting and analyzing access data describing the use of open data resources by individual software applications. The methodology includes novel categorization of the data collected at an exposition portal providing access to underlying open data portals and third-party services. Furthermore, it enables research into the use of both different open data resources and resource groups such as Big Data resources for software development. We apply the methodology to analyze the re-use of open urban data during reference software development events. The identification of open data use by individual applications is largely improved compared to baseline scenario, as shown by numerical indicators including F1 measure. Insight into re-use of data streams and actual development time is obtained.

Public science is critical to the economy and to society. However, much of the beneficial impact of scientific research only occurs when scientific knowledge is disseminated broadly and is used by others. This thesis examines the emerging policy, law, and practice of facilitating open access to scientific research data. One particular focus is to examine the open data policies recently introduced by research funders and publishers, and the potential in these for driving the practice of open scientific data into the future. This thesis identifies five major stumbling blocks to sustainable open scientific data. Firstly, the prevailing ‘mindset’ that facilitating open access to data is analogous to facilitating open access to publications and, therefore, research data can easily be shared, with research funders and librarians effectively leading the process. Secondly, the unclear meaning of the term ‘data’, which causes confusion among stakeholders. Thirdly, ‘misunderstood incentives’ for data sharing and the additional inputs required from researchers. Fourthly, ‘data privacy’—an issue that only applies to selected research datasets, and yet appears to dominate the discussion about open research data. Finally, there is ‘copyright law’, which poses challenges at different stages of data release and reuse. In this thesis, I argue that the above problems can be addressed using a staged model for open scientific data. I draw specifically on the practice with open scientific data at CERN (the European Organization for Nuclear Research) and the practice of sharing clinical trial data to argue that open data can be shared at various stages of processing and diversification. This model is supplemented by recommendations proposing changes to existing open data mandates and the introduction of a text and data mining exemption into Australian copyright law.

The article focuses on the open data and public information. The characteristics of open data are availability, free use, versatility, ease of processing. The main objectives of the study are to reveal the classification features of the data, the prerequisites for opening data for public institutions in Ukraine, to identify the principles of working with public and open data in Ukraine and the scope of their application. Methodologies include: a classification method for formalized data description; the method of generalizing and analyzing large amounts of data, the method of observation to find out the extent of the dissemination of open data in Ukraine; a chronological method for constructing a timeline for the dissemination of open data in Ukraine. Results. In terms of content, the data is classified into general cultural, historical, biographical encyclopedias, dictionaries; structured by theme in directories; quantitative indicators; geolocal data; user activity data. The public information with restricted access is distinguished; confidential information; classified information; business information; personal and public information in the form of open data. There are three open source data resources in Ukraine: E-data; ProZorro and State Portal of Open Data; also, there act open source data monitoring and control services, information and analytical resources. The main measure of effectiveness is the social effect of influencing open data understanding and promoting the use of services to access open data. Not just the data itself, but its correct interpretation and interpretation for the citizens is valuable in storytelling. Involvement of Ukrainians in the principles of state control and the possibility of unconditional access to the necessary information at any time ensure the formation of an open society, the development of democracy and civil society, create opportunities for business development, and form a responsible and active citizenship among citizens. Open data is an inexhaustible source for successful startups.

Governments are rapidly developing open data platforms to improve transparency and make information more accessible. New York is a leader, with currently the only state platform devoted to health. Although these platforms could build public health departments' capabilities to serve more researchers, agencies have little guidance on releasing meaningful and usable data. Structured focus groups with researchers and practitioners collected stakeholder feedback on potential uses of open health data and New York's open data strategy. Researchers and practitioners attended a 1-day November 2013 workshop on New York State's open health data resources. After learning about the state's open data platform and vision for open health data, participants were organized into 7 focus groups to discuss the essential elements of open data sets, practical challenges to obtaining and using health data, and potential uses of open data. Participants included 33 quantitative health researchers from State University of New York campuses and private partners and 10 practitioners from the New York State Department of Health. There was low awareness of open data, with 67% of researchers reporting never using open data portals prior to the workshop. Participants were interested in data sets that were geocoded, longitudinal, or aggregated to small area granularity and capabilities to link multiple data sets. Multiple environmental conditions and barriers hinder their capacity to use health data for research. Although open data platforms cannot address all barriers, they provide multiple opportunities for public health research and practice, and participants were overall positive about the state's efforts to release open data. Open data are not ideal for some researchers because they do not contain individually identifiable data, indicating a need for tiered data release strategies. However, they do provide important new opportunities to facilitate research and foster collaborations among agencies, researchers, and practitioners.

Purpose Librarians play a critical role in curating, organizing and facilitating access to open data (OD) resources, supporting research, learning and information dissemination. This study aims to explore the use of OD for reference services delivery in academic libraries. It is believed that the concept of OD in librarianship refers to the practice of making publicly available data freely accessible, usable and shareable by anyone. Design/methodology/approach This research examined how the utilization of OD may affect library services and operations. This paper used the systematic review of literature to answer the research questions; hence, it was a desk study. Findings Given that there has been recently a research shift in linking OD to library metadata, this study revealed some interesting findings. More specifically, it discovered that incorporating OD into reference services can provide several benefits and enhance the quality and relevance of the information provided to library users. In addition, this paper reported that OD enriches reference services by providing comprehensive, current and interdisciplinary information, supporting evidence-based research, enabling data visualization and analysis, fostering community engagement and promoting innovation. Originality/value This paper proposes that libraries that possess extensive collections are in a favorable position to embrace the shift toward becoming OD and open big data libraries. It is also believed that academic libraries, through reference services, meet the challenge of providing access to their institutional repositories by holding many sets of data in various formats and providing various interfaces, developing metadata systems for various data streams, supporting all ecosystems of software and data products for reformatting and reusing large and complex data, and support for data sets identifiers. By actively engaging with OD, librarians can play a vital role in facilitating access to information and promoting the use of open knowledge for academic pursuits.

Minimizing Data Waste: Conservation in the Big Data Era

Open data is seen as a promising source of new business, especially in the SME sector, in the form of new products, services and innovative solutions. High importance is seen also in fostering citizens' participation in political and social life and increasing the transparency of public authorities. The forerunners of the open data movement in the public sector are the USA and the UK, which started to open their public data resources in 2009. The first European Union open data related directive was drawn up as early as 2003; however progress in putting the idea into practice has been slow and adoptions by the wider member states are placed in the early 2010s. The beneficial use of open data in real applications has progressed hand in hand with the improvement of other ICT-related technologies. The (raw) data itself has no high value. The economic value comes from a balanced combination of high quality open (data) resources combined with the related value chain. This paper builds up a "big picture" of the role of open data in current society. The approach is analytical and it clarifies the topic from the viewpoints of both opportunities and challenges. The paper covers both general aspects related to open data and results of the research and regional development project conducted by the authors.

The next step for our urban areas is to become friendly using open data. The focus of this paper is to highlight the necessity and the implementation of Open Government Data (OGD). It also presents the principles of Open Government Data. The paper aims to analyze the OGD solutions and the impact of these for urban development using a SWOT analysis. In our age OGD confers an important advantage in development economy. In this case everybody tries to implement efficient OGD.Keywords: Open Data, Open Government Data, Smart Cities, Friendly Cities, Knowledge EconomyIntroductionThe paper aims to analyze the impact and the role of open government data in our society and to highlight the trend of European countries in this case.The first part presents the literature review of the open data and open government data. Researchers worldwide are interested in improving governmental activity by implementing the latest innovations to the knowledge economy. The free exchange of ideas, information and knowledge is the support of development [14]. Open data is an essential element for knowledge economy. Knowledge economy emphasizes with lifelong learning, good quality of life and open government data.The second part highlights the opportunities and the changes that will be made in society after will implement an OGD solution. It is essential to the governmental and the citizens to use open data because this will offer independence, transparency, decentralization and, in the same time, aggregation.The third and the fourth part of the paper present the impact and the barriers of open government data. It is very important to highlight the benefits, disadvantages and barriers. These can be presented start from the most important cities how use this kind of solutions.In the fifth part is presented a classification of cities in three main categories based on the usage of open government data and a SWOT analysis about OGD solutions.The paper ends with the conclusion and the most important idea is: for development urban areas we have to use open government data.2 Literature ReviewThe literature review [1], [2], [3] highlight that a group inspired by open source software movements published version 1.0 of a statement they called the Open Knowledge Definition (OKF - Open Knowledge Foundation, 2006). This puts forward a definition of what it means to have open content, stating that: A piece of data or content is open if anyone is free to use, reuse, and redistribute it - subject only, at most, to the requirement to attribute and/or sharealike [6], [7], [8].In our age we can increasing the efficiency of public services and governmental activities by fast adopting the new technologies and the open data solutions.The most recent and important point of view is use of open data solutions is the Europe 2020 Strategy [18], [22], [23]. This strategy try to put the Europe's economy back on the path to growth.The Europe 2020 Strategy promotes the strategic objectives of a smart, sustainable and inclusive growth which are made further operational by a number of five headline targets for 2020 and by seven flagship initiatives.The Europe 2020 Strategy identifies five headlines that European Union should take to boost growth and employment. These are presented in Figure 1.The Europe 2020 Strategy has important direct implications for the future EU Cohesion Policy, because it develops - in fact - the same strategies for the period 2014- 2020. The Europe 2020 Strategy identifies seven flagship initiatives. These flagship initiatives [18], [23] are (Figure 2):· Innovation Union: the most important aspect is to improve framework conditions for better finance of research and innovation;· youth on the move : to reinforce the education systems and to improve the international view of Europe's higher education;· a digital agenda for Europe: the accent is put on the development of high-speed internet and to use the benefits of the one digital market;· resource efficient Europe: to use efficiently the resources for economic growth, increasing the use of renewable sources, improve and modernizing the transport sector and reduce of energy consume;· an industrial policy for the globalization era: the most important objectives are to improve the business environment and to development of a strong and sustainable industrial base able to compete globally. …

Collaborative workflows are common in open-source software development. They reduce individual costs and improve the quality of work results. Open data shares many characteristics with open-source software, as it can be used, modified, and redistributed by anyone, for free. However, in contrast to open-source software engineering, collaborative data engineering on open data lacks a shared understanding of processes, methods, and tools. This article presents a systematic literature review of collaboration processes, methods, and tools in data engineering as performed by open data users. An additional interview study with practitioners confirms and enhances the findings and strengthens the resulting insights. We find an ecosystem with heterogeneous participants and no standardized processes, methods, and tools. Participants face a variety of technical and social challenges during their work. Our work provides a structured overview of collaboration systems in open collaborative data engineering, enabling further research. Additionally, we contribute preliminary guidelines for successful open collaborative data engineering projects and recommendations to increase its adoption for open data ecosystems.

Open geospatial infrastructure for data management and analytics in interdisciplinary research

Governments worldwide are releasing data into the public domain via open government data initiatives. Many such data sets are directly relevant to environmental science and complement data collected by academic researchers to address complex and challenging environmental problems. The Government of Canada is a leader in open data among Organisation for Economic Co-operation and Development countries, generating and releasing troves of valuable research data. However, achieving comprehensive and FAIR (findable, accessible, interoperable, reusable) open government data is not without its challenges. For example, identifying and understanding Canada’s international commitments, policies, and guidelines on open data can be daunting. Similarly, open data sets within the Government of Canada are spread across a diversity of repositories and portals, which may hinder their discoverability. We describe Canada’s federal initiatives promoting open government data, and outline where data sets of relevance to environmental science can be found. We summarize research data management challenges identified by the Government of Canada, plans to modernize the approach to open data for environmental science and best practices for data discoverability, access, and reuse.

The modern healthcare and life sciences ecosystem is moving towards an increasingly open and data-centric approach to discovery science. This evolving paradigm is predicated on a complex set of information needs related to our collective ability to share, discover, reuse, integrate, and analyze open biological, clinical, and population level data resources of varying composition, granularity, and syntactic or semantic consistency. Such an evolution is further impacted by a concomitant growth in the size of data sets that can and should be employed for both hypothesis discovery and testing. When such open data can be accessed and employed for discovery purposes, a broad spectrum of high impact end-points is made possible. These span the spectrum from identification of de novo biomarker complexes that can inform precision medicine, to the repositioning or repurposing of extant agents for new and cost-effective therapies, to the assessment of population level influences on disease and wellness. Of note, these types of uses of open data can be either primary, wherein open data is the substantive basis for inquiry, or secondary, wherein open data is used to augment or enrich project-specific or proprietary data that is not open in and of itself. This workshop is concerned with the key challenges, opportunities, and methodological best practices whereby open data can be used to drive the advancement of discovery science in all of the aforementioned capacities.