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 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.

scholarly journals Whole Earth Telescope Headquarters Standard Data Formats

2003 ◽  
Vol 12 (2) ◽  
Author(s):  
R. L. Riddle ◽  
S. D. Kawaler
Keyword(s):  
Next Generation ◽  
Ccd Photometry ◽  
Data Format ◽  
Final Version ◽  
Standard Data ◽  
Data Formats ◽  
Whole Earth

AbstractAs the WET moves to CCD systems, we move away from the uniformity of the standard WET photometer into an arena where each system can be radically different. There are many possible CCD photometry systems that can fulfil the requirements of a WET instrument, but each of these will have their own unique native data format. During XCov22, it became readily apparent that the WET requires a defined data format for all CCD data that arrives at HQ. This paper describes the proposed format for the next generation of WET data; the final version will be the default format for XQED, the new photometry package discussed elsewhere in these proceedings.

The SAXS/WAXS software system of the DUBBLE CRG beamline at the ESRF

2001 ◽  
Vol 34 (4) ◽  
pp. 519-522 ◽  
Author(s):  
E. Homan ◽  
M. Konijnenburg ◽  
C. Ferrero ◽  
R. E. Ghosh ◽  
I. P. Dolbnya ◽  
...  
Keyword(s):  
Integrated System ◽  
Software System ◽  
Test Bed ◽  
Time Resolved ◽  
X Ray ◽  
Standard Data ◽  
Data Formats ◽  
X Ray Scattering ◽  
Angle Scattering ◽  
Wide Range

The small/wide-angle X-ray scattering (SAXS/WAXS) system on the DUBBLE CRG beamline at the ESRF is used for both static and time-resolved measurements. The integrated system developed for control and data reduction deals effectively with the high rates of incoming data from the different detector systems, as well as the presentation of results for the user. To ensure that the data may be used directly by a wide range of packages, they may be recorded in a number of output formats, thus serving as a practical test bed where developing standards may be compared and contrasted. The software system implements proposals raised at the canSAS meetings to promote a limited set of standard data formats for small-angle scattering studies. The system presented can cope with a volume of results in excess of 10 Gbytes of data per experiment and shows the advantages achieved by minimizing the dependence on raw-data formats.

scholarly journals Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: A new modular toolkit for landslide susceptibility assessment

2021 ◽  
Author(s):  
Jewgenij Torizin ◽  
Nick Schüßler ◽  
Michael Fuchs
Keyword(s):  
Landslide Susceptibility ◽  
Binary Classification ◽  
Project Manager ◽  
Assessment Tools ◽  
Susceptibility Assessment ◽  
Standard Data ◽  
Landslide Susceptibility Assessment ◽  
Data Formats ◽  
Software Distribution ◽  
Hierarchy Process

Abstract. This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python. Primarily developed to conduct landslide susceptibility analyses (LSA), it is not limited to this issue and applies to any other research dealing with supervised spatial binary classification. With its standardized project framework, LSAT PM provides efficient interactive data management supported by handy tools. The application utilizes standard data formats ensuring data transferability to all geographic information systems. LSAT PM has a modular structure allowing to extend the existing toolkit by additional analyses. The LSAT PM v1.0.0b implements heuristic and data-driven methods such as the analytical hierarchy process, weights of evidence, logistic regression, and artificial neural networks. The software was developed and tested over the years in different projects dealing with landslide susceptibility assessment. The emphasis on model uncertainties and statistical model evaluation makes the software a practical modeling tool. Also, it provides the possibility to explore and evaluate different LSA models, even those not created with LSAT PM. The software distribution package includes comprehensive documentation. A dataset for testing purposes of the software is available. LSAT PM is subject to continuous further development.

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.

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