Towards Transparent Data Access with Context Awareness

Data Intelligence, 2019

It is easy to argue that open data is critical to enabling faster and more effective research discovery. In this article, we describe the approach we have taken at Wiley to support open data and to start enabling more data to be FAIR data (Findable, Accessible, Interoperable and Reusable) with the implementation of four data policies: “Encourages”, “Expects”, “Mandates” and “Mandates and Peer Reviews Data”. We describe the rationale for these policies and levels of adoption so far. In the coming months we plan to measure and monitor the implementation of these policies via the publication of data availability statements and data citations. With this information,…

2014

Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, 2018

Contemporary data infrastructures are yet to afford easy access to available data, better understanding of these data, engagement around data to drive collective sense-making and knowledge cocreation. This work synthesizes the knowledge gained through a 40month research and innovation project which led to designing and implementing an architecture which addresses those challenges.

Trabalho, Educação e Saúde, 2018

Today, one of the main narratives in science is making access to research data universal, especially studies funded with public resources, a common motivation that underlies the open access to scientific information movement that began in the late 1990s. Without losing sight of the fact that the opening of research data in Brazil is part of a recent discussion, its implementation is necessary, not only because this has to do with offering open access to the outcomes of public funding, but also to meeting the commitment to do science under the inspiration of an open philosophy, supported by the infinite possibilities of information and communication technologies, which encourage collaborative, shared production among researchers, especially through the reuse of data. In December 2017, after the 8th Luso-Brazilian Open Access Conference, which was held at its premises in Rio de Janeiro, the Oswaldo Cruz Foundation (Fiocruz) gave another unequivocal demonstration of its commitment to Open Science when it presented the Open science and open data: Mapping and analysis of policies, infrastructures, and strategies from a national and international perspective (Santos, Henning e Almeida, 2017) report on an analysis of international initiatives on policies, governance, and open data infrastructures as a result of the research carried out by the Working Group on Open Science, which has ties to the office of the vice president for Education, Information and Communication, in partnership with the Center for the Integration of Data and Knowledge in Health (Cidacs). The Cidacs, which is based in Fiocruz Bahia, is part of one of the institutional strategies to subsidize the formulation and implementation of a policy that guides the opening of scientific data. It conducts research, develops new investigative methodologies, and promotes professional and scientific training based on interdisciplinary projects grounded on the integration of large databases (big data) to expand the understanding of the population's health issues and to provide evidence to support decision-making in public policies. This study systematizes the experience of eight countries-Germany, Australia, Brazil, Canada, the United States, the Netherlands, Portugal, and the United Kingdom-and the initiatives promoted by the European Commission through its Horizon 2020 Research and Innovation Program to open data to society, aiming at the advancement of an open, collaborative, and shared science that guarantees the integrity of research and is coordinated with the social and economic sustainability of the nations. The Open science and open data: Mapping and analysis of policies, infrastructures, and strategies from a national and international perspective report is a part of the "

Health Informatics, 2020

Prometheus, 2014

This paper explores key issues in the development of open access to research data. The use of digital means for developing, storing and manipulating data is creating a focus on 'data-driven science'. One aspect of this focus is the development of 'open access' to research data. Open access to research data refers to the way in which various types of data are openly available to public and private stakeholders, user communities and citizens. Open access to research data, however, involves more than simply providing easier and wider access to data for potential user groups. The development of open access requires attention to the ways data are considered in different areas of research. We identify how open access is being unevenly developed across the research environment and the consequences this has in terms of generating data gaps. Data gaps refer to the way data becomes detached from published conclusions. To address these issues, we examine four main areas in developing open access to research data: stakeholder roles and values; technological requirements for managing and sharing data; legal and ethical regulations and procedures; institutional roles and policy frameworks. We conclude that problems of variability and consistency across the open access ecosystem need to be addressed within and between these areas to ensure that risks surrounding a data gap are managed in open access.

Journal of International Business Studies

Recent debates on transparency and replicability suggest that JIBS needs to update its approach on data access and research transparency (DART). We propose a series of initiatives, knowing well that there is a balance to be struck. There are clear benefits on the one hand, chief among these the potential for learning and knowledge accumulation, and equally manifest challenges on the other: the imperative to respect privacy, confidentiality, and intellectual property rights. Without addressing these challenges, will there be the highquality data on which the benefits depend? We present access and transparency objectives, and set out how an actionable and effective approach towards DART will be implemented, but also address ethical, legal, and organizational challenges of concern to us as a scholarly community.

The World of Open Data, 2018

15th International Conference on Theory and Practice of Electronic Governance

Open data can play a crucial role in different sectors of the world, such as government, science, research, technology, culture, and finance. There are several necessary measures that every organization needs to consider before opening data. There are three major steps to opening the data: (1) Preparation stage, and (2) launching the open data initiative (3) In this case, the feedback mechanism study such as expand and sustain stage, our focus is on the second step, which is how to launch the data as an open dataset and what platforms are available in the market. There are several pros and cons associated with each platform that need to be discussed before publishing the data to get the maximum outcomes in a sustainable and transparent way. We will discuss seven major open data platforms, such as (1) CKAN (2) DKAN (3) Socrata (4) OpenDataSoft (5) GitHub (6) Google datasets (7) Kaggle. We will evaluate the technological commons, techniques, features, methods, and visualization offered by each tool. In addition, why are these platforms important to users such as providers, curators, and end-users? And what are the key options available on these platforms to publish open data? At the end of this study, an individual will be able to select one of them for their open data initiative to launch the data as open.

2018

In one of the largest surveys of researchers about research data (with over 7,700 respondents), Springer Nature finds widespread data sharing associated with published works and a desire from researchers that their data are discoverable.<br><br>This whitepaper examines the results of this survey and discusses the challenges that researchers face in sharing their data. The whitepaper looks at data sharing attitudes globally, as well as in relation to region, subject and seniority.<br><br>Infographic: https://doi.org/10.6084/m9.figshare.5996786