1,720,966 research outputs found
Open Data in Geochemistry Part 1: Navigating the Present Data Infrastructure Landscape | 4-HOUR ONLINE WORKSHOP
No full textAs data volumes increase across the Earth, Environmental and Planetary Sciences, global data infrastructures that synthesise existing datasets from disparate sources are a valuable resource for geochemistry and cosmochemistry research. At the same time, good data management and the publication of datasets are increasingly required by funding agencies and scientific journals. This workshop will showcase the variety of data services provided by the Astromat, EarthChem and GEOROC data systems: from sample registration to data publication to harvesting global data compilations.
Participants will gain hands-on experience using these services, instructed by the managers of Astromat, EarthChem and GEOROC. Attendees will be guided through current best practices for sample and data management, including the option to start their own sample registrations or data submissions. We will further explore the possibilities afforded by global synthesis databases with practical examples ranging from simple database queries using web-interfaces to code-based data harvesting and analysis for more advanced applications. No prior knowledge required: this workshop will be structured to appeal to a wide range of users, building from introductory material with a focus on basic functionality for new users to the latest features and more advanced applications for statistical or machine-learning approaches. We encourage specific problems suggested by attendees and participants will have the opportunity to get involved in the development of new features
Open Data in Geochemistry Part 1: Navigating the Present Data Infrastructure Landscape | 4-HOUR ONLINE WORKSHOP
No full textAs data volumes increase across the Earth, Environmental and Planetary Sciences, global data infrastructures that synthesise existing datasets from disparate sources are a valuable resource for geochemistry and cosmochemistry research. At the same time, good data management and the publication of datasets are increasingly required by funding agencies and scientific journals. This workshop will showcase the variety of data services provided by the Astromat, EarthChem and GEOROC data systems: from sample registration to data publication to harvesting global data compilations.
Participants will gain hands-on experience using these services, instructed by the managers of Astromat, EarthChem and GEOROC. Attendees will be guided through current best practices for sample and data management, including the option to start their own sample registrations or data submissions. We will further explore the possibilities afforded by global synthesis databases with practical examples ranging from simple database queries using web-interfaces to code-based data harvesting and analysis for more advanced applications. No prior knowledge required: this workshop will be structured to appeal to a wide range of users, building from introductory material with a focus on basic functionality for new users to the latest features and more advanced applications for statistical or machine-learning approaches. We encourage specific problems suggested by attendees and participants will have the opportunity to get involved in the development of new features
FAIR Global Databases in Geochemistry and their Applications
No full textGeochemical data volumes are ever increasing across the Earth, Environmental and Planetary Sciences. Harvesting the value of big data, machine learning and AI in geochemistry requires access, reusability and reproducibility of these data. Providing for easy open access and well-curated synthesis data systems requires funding agencies, scientific journals including their reviewers and editors as well as individual researchers to advance the principles of FAIR data (Findable, Accessible, Interoperable, Reusable) in geochemistry and cosmochemistry research.
This workshop, will provide an introduction to the data services provided by the EarthChem, GEOROC, and Astromat data systems and will introduce how researchers can extract data and interact with the data systems for their work for advanced data analyses use cases. We specifically aim at early-career researchers to address their needs in developing skills in digital geochemistry.
Topics covered will include best practices and tools for data and sample documentation, data publication and archiving, and sample registration, and exploring and critically analyzing global geochemical data compilations. We will demonstrate examples from current publications that worked with global synthesis databases to address fundamentally new research topics in digital geochemistry.
The existing IT database infrastructure will be documented together with future needs and developments. Participants will be given examples in using online services for data submission and data access by the managers of EarthChem, GEOROC, and Astromat and be guided through current best practices for sample and data descriptions and management, including the option to perform their own sample registrations or data submissions. Examples range from simple database interaction using web-interfaces to code-based data harvesting and analysis for more advanced applications will be undertaken.
No prior knowledge required; this workshop will be structured to appeal to a wide range of users, building from introductory material with a focus on basic functionality for new users to more advanced applications for statistical or machine-learning approaches. We encourage attendees to bring along some of their own sample details or data to test integrating to the data systems, or suggest specific research problems and use cases to explore. Participants will have the opportunity to provide suggestions and feedback for the development of new features to help continually improve these services for the community
FAIR Global Databases in Geochemistry and their Applications
No full textGeochemical data volumes are ever increasing across the Earth, Environmental and Planetary Sciences. Harvesting the value of big data, machine learning and AI in geochemistry requires access, reusability and reproducibility of these data. Providing for easy open access and well-curated synthesis data systems requires funding agencies, scientific journals including their reviewers and editors as well as individual researchers to advance the principles of FAIR data (Findable, Accessible, Interoperable, Reusable) in geochemistry and cosmochemistry research.
This workshop, will provide an introduction to the data services provided by the EarthChem, GEOROC, and Astromat data systems and will introduce how researchers can extract data and interact with the data systems for their work for advanced data analyses use cases. We specifically aim at early-career researchers to address their needs in developing skills in digital geochemistry.
Topics covered will include best practices and tools for data and sample documentation, data publication and archiving, and sample registration, and exploring and critically analyzing global geochemical data compilations. We will demonstrate examples from current publications that worked with global synthesis databases to address fundamentally new research topics in digital geochemistry.
The existing IT database infrastructure will be documented together with future needs and developments. Participants will be given examples in using online services for data submission and data access by the managers of EarthChem, GEOROC, and Astromat and be guided through current best practices for sample and data descriptions and management, including the option to perform their own sample registrations or data submissions. Examples range from simple database interaction using web-interfaces to code-based data harvesting and analysis for more advanced applications will be undertaken.
No prior knowledge required; this workshop will be structured to appeal to a wide range of users, building from introductory material with a focus on basic functionality for new users to more advanced applications for statistical or machine-learning approaches. We encourage attendees to bring along some of their own sample details or data to test integrating to the data systems, or suggest specific research problems and use cases to explore. Participants will have the opportunity to provide suggestions and feedback for the development of new features to help continually improve these services for the community
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
OneGeochemistry: Accelerating the Development of Machine Readable Digital Standards for Geoanalytical Data Through International Collaboration
No full text
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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
- …
