scholarly journals The Build and Application of a Storm and Flood Standard Data Model of a Damage Prediction Map

2019 ◽  
Vol 19 (6) ◽  
pp. 237-245
Author(s):  
Somang Lim ◽  
Wansik Yu ◽  
Euiho Hwang ◽  
Hyosok Chae
Keyword(s):  
Data Model ◽  
Damage Prediction ◽  
Standard Data

scholarly journals Research-ready data for multi-cohort analyses: The Dementias Platform UK (DPUK) C-Surv data model

2021 ◽  
Author(s):  
Sarah Bauermeister ◽  
Joshua R Bauermeister ◽  
R Bridgman ◽  
C Felici ◽  
M Newbury ◽  
...  
Keyword(s):  
Data Model ◽  
Data Access ◽  
Data Discovery ◽  
Standard Data ◽  
Technology Standard ◽  
Access Request ◽  
Nested Structure ◽  
Using Data ◽  
Model C ◽  
Cohort Analyses

Abstract Research-ready data (that curated to a defined standard) increases scientific opportunity and rigour by integrating the data environment. The development of research platforms has highlighted the value of research-ready data, particularly for multi-cohort analyses. Following user consultation, a standard data model (C-Surv), optimised for data discovery, was developed using data from 12 Dementias Platform UK (DPUK) population and clinical cohort studies. The model uses a four-tier nested structure based on 18 data themes selected according to user behaviour or technology. Standard variable naming conventions are applied to uniquely identify variables within the context of longitudinal studies. The data model was used to develop a harmonised dataset for 11 cohorts. This dataset populated the Cohort Explorer data discovery tool for assessing the feasibility of an analysis prior to making a data access request. It was concluded that developing and applying a standard data model (C-Surv) for research cohort data is feasible and useful.

scholarly journals GEOSPATIAL DATABASE FOR STRATA OBJECTS BASED ON LAND ADMINISTRATION DOMAIN MODEL (LADM)

2016 ◽  
Vol XLII-4/W1 ◽  
pp. 329-334
Author(s):  
N. N. Nasorudin ◽  
M. I. Hassan ◽  
N. A. Zulkifli ◽  
A. Abdul Rahman
Keyword(s):  
Standard Model ◽  
Real World ◽  
Data Model ◽  
Database Design ◽  
Domain Model ◽  
Standard Data ◽  
Land Administration ◽  
Physical Database Design ◽  
Geospatial Database ◽  
2D And 3D

Recently in our country, the construction of buildings become more complex and it seems that strata objects database becomes more important in registering the real world as people now own and use multilevel of spaces. Furthermore, strata title was increasingly important and need to be well-managed. LADM is a standard model for land administration and it allows integrated 2D and 3D representation of spatial units. LADM also known as ISO 19152. The aim of this paper is to develop a strata objects database using LADM. This paper discusses the current 2D geospatial database and needs for 3D geospatial database in future. This paper also attempts to develop a strata objects database using a standard data model (LADM) and to analyze the developed strata objects database using LADM data model. The current cadastre system in Malaysia includes the strata title is discussed in this paper. The problems in the 2D geospatial database were listed and the needs for 3D geospatial database in future also is discussed. The processes to design a strata objects database are conceptual, logical and physical database design. The strata objects database will allow us to find the information on both non-spatial and spatial strata title information thus shows the location of the strata unit. This development of strata objects database may help to handle the strata title and information.

Code interoperability and standard data formats in quantum chemistry and quantum dynamics: The Q5/D5Cost data model

2013 ◽  
Vol 35 (8) ◽  
pp. 611-621 ◽  
Author(s):  
Elda Rossi ◽  
Stefano Evangelisti ◽  
Antonio Laganà ◽  
Antonio Monari ◽  
Sergio Rampino ◽  
...  
Keyword(s):  
Quantum Chemistry ◽  
Data Model ◽  
Quantum Dynamics ◽  
Standard Data ◽  
Data Formats

scholarly journals FORMALIZED REPRESENTATION FOR THE DATA MODEL WITH THE UNIVERSAL BASIS OF RELATIONS

2019 ◽  
pp. 453-460
Author(s):  
Vitalii I. Yesin ◽  
Mikolaj Karpinski ◽  
Maryna V. Yesina ◽  
Vladyslav V. Vilihura
Keyword(s):  
Relational Database ◽  
Data Model ◽  
Relational Databases ◽  
Subject Domain ◽  
Dynamic Changes ◽  
Standard Data ◽  
The Subject ◽  
Logical Design ◽  
The Creation ◽  
Universal Standard

The goal of the article is to develop a universal (standard) data model that allows you to get rid of the need for a costly policy of doing extra work when developing new ones or transforming existing relational databases (RDBs) caused by dynamic changes in the subject domain (SD). The requirements for the developed data model were formulated. In accordance with the formulated requirements, the data model was synthesized. To simplify the process of creating relational database schemas an algorithm for transforming the description of the subject domain into the relations of the universal basis of the developed model was proposed. The scientific novelty of the obtained results is: a data model that, unlike known ones, allows us to simplify the creation of RDB schemas at the stage of logical design of relational databases, under the conditions of dynamic changes in subject domains, due to the introduced universal basis of relations, as a means of describing structures and the presentation of data for various SDs has been developed.

Mapping Food Allergy Data to a Standard Data Model

2021 ◽  
Vol 147 (2) ◽  
pp. AB118
Author(s):  
Mark Wlodarski ◽  
Ruchi Gupta ◽  
Lucy Bilaver ◽  
Shruti Sehgal ◽  
Justin Starren ◽  
...  
Keyword(s):  
Food Allergy ◽  
Data Model ◽  
Standard Data

scholarly journals Research-ready data for multi-cohort analyses: The Dementias Platform UK (DPUK) C-Surv data model

2021 ◽  
Author(s):  
Sarah Bauermeister ◽  
Joshua R Bauermeister ◽  
Ruth Bridgman ◽  
Caterina Felici ◽  
Mark Newbury ◽  
...  
Keyword(s):  
Data Model ◽  
Data Access ◽  
Data Discovery ◽  
Standard Data ◽  
Technology Standard ◽  
Access Request ◽  
Nested Structure ◽  
Using Data ◽  
Model C ◽  
Cohort Analyses

Abstract Research-ready data (that curated to a defined standard) increases scientific opportunity and rigour by integrating the data environment. The development of research platforms has highlighted the value of research-ready data, particularly for multi-cohort analyses. Following user consultation, a standard data model (C-Surv), optimised for data discovery, was developed using data from 12 Dementias Platform UK (DPUK) population and clinical cohort studies. The model uses a four-tier nested structure based on 18 data themes selected according to user behaviour or technology. Standard variable naming conventions are applied to uniquely identify variables within the context of longitudinal studies. The data model was used to develop a harmonised dataset for 11 cohorts. This dataset populated the Cohort Explorer data discovery tool for assessing the feasibility of an analysis prior to making a data access request. It was concluded that developing and applying a standard data model (C-Surv) for research cohort data is feasible and useful.

scholarly journals Standard Data Model Representation for Taxonomic Information

2006 ◽  
Vol 10 (2) ◽  
pp. 220-230 ◽  
Author(s):  
J. Kennedy ◽  
R. Hyam ◽  
R. Kukla ◽  
T. Paterson
Keyword(s):  
Data Model ◽  
Model Representation ◽  
Standard Data ◽  
Taxonomic Information

SPASE 2.0: a standard data model for space physics

2010 ◽  
Vol 3 (1-2) ◽  
pp. 67-73 ◽  
Author(s):  
Todd King ◽  
James Thieman ◽  
D. Aaron Roberts
Keyword(s):  
Data Model ◽  
Space Physics ◽  
Standard Data

The Visualization for SMT Based on Raster Data Engine

2012 ◽  
Vol 532-533 ◽  
pp. 1056-1059
Author(s):  
Chen Liu ◽  
An Tang Zhang ◽  
Tao Liu ◽  
Hui Sen He
Keyword(s):  
Data Model ◽  
Three Dimensional ◽  
Visual Display ◽  
Data Access ◽  
Computer Time ◽  
Vector Data ◽  
Standard Data ◽  
The Cost ◽  
Engine Method ◽  
Consistent Approach

This paper proposes a raster-based data visualization engine method for the visualization of SMT, through COM technology, using standard data access interface and a consistent approach to separate data management and data analysis, this method try to transform EDA vector data into bitmaps, the aim to provide a fast and efficient to create three-dimensional data model PCB substrate, the resault is that removing the adverse vector graphics technology,reducing the complexity of the algorithm, reducing the cost of computer time and improving surface mount visual display speed.

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