scholarly journals 16thIHIW: Immunogenomic Data-Management Methods. Report from the Immunogenomic Data Analysis Working Group (IDAWG)

2012 ◽  
pp. n/a-n/a ◽  
Author(s):  
J. A. Hollenbach ◽  
C. Holcomb ◽  
C. K. Hurley ◽  
A. Mabdouly ◽  
M. Maiers ◽  
...  
Keyword(s):  
Data Analysis ◽  
Data Management ◽  
Working Group ◽  
Analysis Working Group

150-P: IDAWG - the Immunogenomic Data-Analysis Working Group

2009 ◽  
Vol 70 ◽  
pp. S86
Author(s):  
S.J. Mack ◽  
H.A. Erlich ◽  
M. Feolo ◽  
M. Fernandez-Vina ◽  
P.-A. Gourrauud ◽  
...  
Keyword(s):  
Data Analysis ◽  
Working Group ◽  
Analysis Working Group

scholarly journals Discussion of PET Workshop Reports, Including Recommendations of PET Data Analysis Working Group

1991 ◽  
Vol 11 (1_suppl) ◽  
pp. A140-A146 ◽  
Author(s):  
Stanley I. Rapoport
Keyword(s):  
Data Analysis ◽  
Statistical Methods ◽  
Working Group ◽  
Three Dimensional ◽  
Region Of Interest ◽  
Simulation Models ◽  
Magnetic Resonance Images ◽  
Linear Transformations ◽  
Positron Emission ◽  
Analysis Working Group

On May 1–2, 1989, a PET Data Analysis Working Group convened to consider positron emission tomography (PET) methodology and data analysis. The papers presented and the recommendations of the Group are reviewed. The Group recommended that a standard phantom of the human brain be used by different institutions to examine machine and data reconstruction PET variables. Interinstitutional comparisons could be aided by using a standard three-dimensional coordinate system. Deformations within individual diseased or atypical brains would require nonlinear as well as linear transformations to the standard space, using magnetic resonance images in register with the PET images. Methods for intersubject averaging of pixel-by-pixel or region-of-interest data, as well as appropriate statistical methods, need to be developed. PET data may first be exploratory and hypothesis-generating (with less stringent statistical theory), then later used to test hypotheses (with more stringent statistical criteria). Common databases, obtained by computer simulation models with known inherent structure, or directly by PET measurements on different groups, could be used to compare analytical and statistical methods among institutions.

Big Data management and data analysis: Applied solutions in view of the spheres of the modern economy

2021 ◽  
pp. 281-306
Author(s):  
Larisa A. Ilyina ◽  
Ekaterina V. Lyubimova ◽  
Darya A. Prosvirina ◽  
Anton N. Sunteev
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Management ◽  
Modern Economy

scholarly journals A DIDÁTICA NA ATUALIDADE: UMA PESQUISA SOBRE OS ASSUNTOS ABORDADOS NO GT04 DA ANPED

2018 ◽  
Vol 15 (Especial 2) ◽  
pp. 27-32
Author(s):  
Daniele dos Santos Martins Vieira ◽  
Renata Portela Rinaldi
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Working Group ◽  
The Political ◽  
Pedagogical Practice ◽  
Research Focus ◽  
Research In Education ◽  
Object Of Study

The didactics is configured as a broad field of investigation and has as object of study the teaching process. It encompasses several actions on pedagogical practice, but also involves the conception of education that the teacher possesses, since to human and integral formation it is necessary to consider the political, social, cultural and economic scenario in which the subjects are inserted. In the light of the above, the objective of this article is to analyze from the productions in the field, specifically the Working Group on Didactics (GT04) of the National Association of Postgraduate and Research in Education (ANPED), which reveal about the role of didactics in teacher training. It is based on the qualitative research, of the bibliographic type; the data collection took place in the ANPED database between 2007-2017 and data analysis was performed from a descriptiveanalytical perspective. The results reveal mainly the research focus in the researched area.

scholarly journals A National Research Data Management Strategy for Canada: The Work of the National Data Archive Consultation Working Group

10.29173/iq91 ◽  
2001 ◽  
Vol 25 (3) ◽  
pp. 13
Author(s):  
Yvette Hackett
Keyword(s):  
Data Management ◽  
Working Group ◽  
Management Strategy ◽  
Research Data ◽  
Data Archive ◽  
National Data ◽  
Research Data Management

A National Research Data Management Strategy for Canada: The Work of the National Data Archive Consultation Working Group

Data Analysis and Integration in Healthcare

2019 ◽  
pp. 220-234
Author(s):  
Kara S. Evans ◽  
Elizabeth Baoying Wang
Keyword(s):  
Data Analysis ◽  
Data Integration ◽  
Drug Interactions ◽  
Data Management ◽  
Healthcare System ◽  
Human Body ◽  
Healthcare Providers ◽  
General Wellbeing ◽  
Missed Diagnoses

Healthcare providers treat a plethora of conditions associated with the human body for a patient to achieve optimal healthiness. However, aspects of a patients' entire wellbeing can often be overlooked, which leads to issues such as drug interactions, missed diagnoses, and other gaps in care. Healthcare can benefit from implementing better data management and integration to improve data analysis, which could bridge gaps in care. This chapter will explain data analysis and data integration, why they are pertinent in the healthcare system, and their associated rewards and challenges. After analyzing these healthcare facets, this chapter will conclude with a proposal for healthcare providers to leverage technology for patients' general wellbeing and a healthier population.

scholarly journals Experimental Pipeline (Expipe): A Lightweight Data Management Platform to Simplify the Steps From Experiment to Data Analysis

2020 ◽  
Vol 14 ◽  
Author(s):  
Mikkel Elle Lepperød ◽  
Svenn-Arne Dragly ◽  
Alessio Paolo Buccino ◽  
Milad Hobbi Mobarhan ◽  
Anders Malthe-Sørenssen ◽  
...  
Keyword(s):  
Data Analysis ◽  
Data Management ◽  
Management Platform ◽  
Data Management Platform
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