1,720,989 research outputs found
AI4SD Video: SciData: Semantic representation of scientific data and applications in chemistry
No full textFindable, Accessible, Interoperable and Reusable (FAIR) is a paradigm shift in how we should make our research data available and useful for other scientists. The SciData framework (https://stuchalk.github.io/scidata/) is a specification for constructing JavaScript Object Notation for Linked Data (JSON-LD) that are semantically encoded, giving meaning to research data and its contextual metadata. This talk will cover the basics of how to create SciData JSON-LD using Python, some example data files for different types of data, use of the file format for the basis of a digital research notebook, and digital chemical twins
Blockchain technology: driving change in the scientific research workflow
No full textThe goal of this white paper is to present an objective overview of the current use of blockchain technology along the scientific research workflow and in related areas such as chemical/drug supply chains and education. It represents the culmination of three years of data gathering, including input from multiple interviews with pioneer users of the technology, as well as from more recent adopters around the globe, and recent industry technology analysts' reports. Within these pages are descriptions of successful applications of the technology at each step of the scientific research workflow - from the timestamping of ideas to funding, to actual experimentation, to the analysis of research results, and ultimately to the sharing of information and the publication of results. However, not all blockchain use cases have such a successful conclusion. In this white paper you will learn where the technology has not worked - and why - thanks to those interviewed who discussed in detail the lessons that they themselves learned during their own blockchain journey. In addition, the paper highlights the potential future uses of the technology; the pitfalls to avoid when considering its use; when and how legislation and regulatory policies come into play; and how the technology is evolving and growing stronger (some say that the fourth generation of the blockchain evolution is on the horizon!). The paper also discusses parallel developments in quantum computing, its potential impact on blockchain technology, and what developments are in progress to ensure a stable and provably secure, quantum safe alternative to the existing blockchain approaches.</p
Blockchain technology and its use along the scientific research workflow
No full textAt the Council meeting held during the 2019 World Chemistry Congress in Paris, a representative from one of IUPAC’s National Adhering Organizations raised the question “What is Blockchain Technology?” They went on to say that both “Blockchain” and “Artificial Intelligence” were prominent buzzwords and asked if IUPAC could provide information on how these technologies were impacting science in general and chemistry in particular. Coincidentally, at that same Congress, the technology had been the subject of a presentation by Richard Shute [1], one of the authors of this paper, and the technology had already captured the interest of Bonnie Lawlor, another of the authors of this paper, to the extent that she published an article in Chemistry International (CI) on the topic the following year [2]. As a result of the question raised at the Council meeting, Javier García-Martínez, IUPAC President 2022-2023, suggested that a white paper on Blockchain be developed (Note: Artificial Intelligence was made the focus of the global, virtual 2021 World Chemistry Leadership Meeting (WCLM) and a brief article on that special event was published in the July 2022 issue of CI [3])
Taking FAIR on the ChIN: The Chemistry Implementation Network
No full textThe Chemistry Implementation Network (ChIN) is focused on supporting the FAIR Data needs of the research community regarding chemical related data. Figure 1 shows the interoperation between the ChIN and key community-leading organizations.</span
Taking FAIR on the ChIN: The Chemistry Implementation Network
No full textThe Chemistry Implementation Network (ChIN) is focused on supporting the FAIR Data needs of the research community regarding chemical related data. Figure 1 shows the interoperation between the ChIN and key community-leading organizations.</span
Taking FAIR on the ChIN: The Chemistry Implementation Network
No full textThe Chemistry Implementation Network (ChIN) is focused on supporting the FAIR Data needs of the research community regarding chemical related data. An Implementation Network is a consortium drawn from a community, in this case the chemistry discipline, committed to defining and constructing standards, materials and software in the spirit of the FAIR data principles and under the structure of the GO FAIR project. Furthermore, as a core science the ChIN has to reach beyond the chemistry community and support the use of chemical information in other disciplines. This will be facilitated through connections in the GO FAIR ecosystem of Implementation Networks. Examples of the FAIR chemical concepts that need to be supported include molecular and materials structures, chemical reactions, nomenclature and other chemical terminology and conventions. The ChIN aims to drive forward the application of the FAIR Data Principles relating to the full range of chemistry concepts that are key to the transparent and efficient communication of chemical information. Realizing the goal of FAIR chemistry data will require a culture change across the discipline.However this is best addressed once a critical mass of tools and approaches has been developed
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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