1,720,964 research outputs found
"Research Data Curation in Visualization : Position Paper" (Data)
No full textHere, we make available the supplemental material regarding data collection from the publicaiton "Research Data Curation in Visualization : Position Paper". The dataset represents an aggregated collection of the data policies of selected publication venues in the areas of visualization, computer graphics, software, HCI, and Virtual Reality with inclusions from multimedia, collaboration, and network visualization, for the years 2021-2022. Based on a derived index, long-term preservation and data sharing are evaluated for each venue. The index ranges from No policy to Required sharing and preservation. Additionally the verbatim statements (or the lack thereof) used to reach the concluded score are also provided.
Abstract: Research data curation is the act of carefully preparing research data and artifacts for sharing and long-term preservation. Research data management is centrally implemented and formally defined in a data management plan to enable data curation. In tandem, data curation and management facilitate research repeatability. In contrast to other research fields, data curation and management in visualization are not yet part of the researcher’s compendium. In this position paper, we discuss the unique challenges visualization faces and propose how data curation can be practically realized. We share eight lessons learned in managing data in two large research consortia, outline the larger curation workflow, and define the typical roles. We complement our lessons with minimum criteria for selecting a suitable data repository and five challenging scenarios that occur in practice. We conclude with a vision of how the visualization research community can pave the way for new curation standards.</p
QSDB - a graphical Quorum Sensing Database: VANTED add-on source code
No full textThe add-on had been designed for the VANTED framework and used to create QSDB Database's collection of clickable networks. Each network is laid out according to SBGN standards, showing quorum sensing and quorum quenching interactions between organisms and signaling molecules. This data set constitutes the source code of the add-on, developed to visualise the SBGN graphs of the QSDB Database using as input tabular aggregated data collected from existing literature.
Paper abstract: The human microbiome is largely shaped by the chemical interactions of its microbial members, which includes cross-talk via shared signals or quenching of the signalling of other species. Quorum sensing is a process that allows microbes to coordinate their behaviour in dependence of their population density and to adjust gene expression accordingly. We present the Quorum Sensing Database (QSDB), a comprehensive database of all published sensing and quenching relations between organisms and signalling molecules of the human microbiome, as well as an interactive web interface that allows browsing the database, provides graphical depictions of sensing mechanisms as Systems Biology Graphical Notation diagrams and links to other databases.
Database URL: QSDB (Quorum Sensing DataBase) is freely available via an interactive web interface and as a downloadable csv file at http://qsdb.org.</p
Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data
No full textThis dataset contains the supplementary materials to our publication "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis", where we report on a study we conducted. Please refer to publication for more details, also the abstract can be found at the end of this description. The dataset contains:
The collection of graphs with layout used in the study
The final, randomized experiment files used in the study
The source code of the study prototype
The collected, anonymized data in tabular form
The code for the statistical analysis
The Supplemental Materials PDF
The documents used in the study procedure (English, Italian, German)
Paper abstract:
Problem solving is a composite cognitive process, invoking a number of cognitive mechanisms, such as perception and memory.
Individuals may form collectives to solve a given problem together in collaboration, especially when complexity is perceived to be high.
To determine if and when collaborative problem solving is desired in the context of visual graph analysis, we compare ad hoc pairs to individuals and nominal pairs, when solving different tasks in mixed reality.
We discuss the results of an experiment with 72 participants performed in two countries and three languages.
We apply the concept of task instance complexity to quantify the visual demand of tasks used in the experiment.
Our results show the importance of using nominal groups as a benchmark for evaluating collaborative virtual environments.
We conclude that 3D graph representation is not sufficient to induce better collaborative results compared~to the benchmark
Software and Data for: Interactive delineation and quantification of anatomical structure with virtual reality
No full textThis dataset contains the supplemental materials, the used tools, and the release of the software presented in the paper Interactive delineation and quantification of anatomical structure with virtual reality. The dataset is structured in the typical order of data processing:
Imaging
Tomographic Reconstruction
Brainacle Software (Delineation, Quantification)
Supplementary Figures (Analysis)
For usage and installation instructions please refer to the specific metadata.
Other software used in the pipeline, in particular, Syrmep Tomo Project (STP) v1.5.3, Fiji (portable, no java), NIfTI Input/Output plug-in, and 7-Zip, may be obtained from the point of contact in the case of changes to the software or inavailability from the respective website. These have been preserved in a separate DRAFT dataset here on DaRUS.
Paper abstract
Background
Full tissue segmentation is laborious, especially for non-model organisms, whereas accurate and reliable delineation still requires much firsthand visual inspection.
A virtual environment can be equipped with suitable data representations, interaction techniques, and method interfaces as to enable the interactive delineation and quantification of anatomical structure.
Situated in such an environment, analysts can benefit from reduced pre-processing, but also from in-situ learning and collaboration.
Results
Therefore, we apply virtual reality as a method to visualise and derive higher-level anatomical features from low-level descriptors.
Following voxel-size calibration, scalable delineations and measurements are performed in virtual reality.
The data representation for delineation is volume visualisation: a volume rendering or an isosurface mesh.
Two delineation techniques are proposed for the placement and editing of points and segments in virtual reality.
For quantification, different measures and metrics can be computed for each delineated region.
To mitigate some of the fundamental challenges of virtual reality, e. g., mid-air interaction affecting precision at a distance, different virtual-reality affordances were considered as part of the design.
As a result, we present Brainacle, a virtual reality application, and make its usage freely available.
We incorporate Brainacle in a synchrotron tomography reconstruction pipeline to delineate and quantify the gross brain regions of 20 individuals from six species of African cichlid fish.
Conclusion
Brainacle, an editor for the interactive delineation and quantification of anatomical structures in virtual reality, is applicable to different biological pipelines and workflows.
In particular, Brainacle can be used to quickly gain an overview of structure, ease repetitive delineation and measurement, and visually inspect and communicate findings
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
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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