1,720,978 research outputs found
CDISC-SDTM sample study
This is a sample study dataset containing CDISC-SDTM formatted data files created originally by CDISC for demo purposes.
This dataset can be used by anyone who is interested in CDISC-SDTM formatted dataset. This version is used to demonstrate loading standard clinical datasets into PlatformTM: a data custodianship platform for translational research data.
Live demo here: https://platformtm.cloud/app/#/projects/15/mai
CDISC-SDTM sample study
This is a sample study dataset containing CDISC-SDTM formatted data files created originally by CDISC for demo purposes.
This dataset can be used by anyone who is interested in CDISC-SDTM formatted dataset. This version is used to demonstrate loading standard clinical datasets into PlatformTM: a data custodianship platform for translational research data.
Live demo here: https://platformtm.cloud/app/#/projects/15/mai
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
BioVacSafe CRC305ABC microarray data
This dataset contains sample annotation files and data files for three microarray studies conducted during the BioVacSafe project, CRC305A, CRC305B and CRC305C
Sample files are formatted against the SDTM format and the data files are 2d matrix each study (samples in columns and probsets in rows
BioVacSafe CRC305ABC Luminex data
cytokine profiling data using Lumniex arrays.
Data files include experiment data for studies CRC305A, CRC305B, CRC305C and CRC305D part of BioVacSafe projec
Variations on the Author
“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
BioVacSafe CRC305ABC clinical data
This dataset contains data files for clinical data in SDTM format for three studies conducted during the BioVacSafe project at the University of Surrey Clinical research centre.
Data has been processed at the Data Science Institute for preparation to loading them into the demo instance of PlatformTM ( a data custodianship platform for translational research data)
Users can use this dataset to load into local instances of PlatformTM for demo purposes
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
BioVacSafe CRC305ABC Luminex data
cytokine profiling data using Lumniex arrays.
Data files include experiment data for studies CRC305A, CRC305B, CRC305C and CRC305D part of BioVacSafe projec
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