scholarly journals P1-43 Bridging electrical data entry sheet and statistical software by standard data model

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A78-A79
Author(s):  
M. Okada
Keyword(s):  
Data Model ◽  
Data Entry ◽  
Statistical Software ◽  
Standard Data ◽  
Electrical 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.

Comparing Oculometer and Head-Fixed Reticle with Voice or Switch for Tactical Display Interaction

1988 ◽  
Vol 32 (2) ◽  
pp. 116-120
Author(s):  
Christopher C. Smyth ◽  
Mary E. Dominessy
Keyword(s):  
Statistical Analysis ◽  
Data Entry ◽  
The Other ◽  
Spatial Accuracy ◽  
Touch Panel ◽  
Standard Data ◽  
Significant Difference ◽  
Air Combat

An experiment with 15 U.S. Army enlisted military subjects was conducted to compare the performance of an oculometer, head-fixed reticle, and touch panel for data entry on a generic tactical air combat display. The subjects used voice or switch to designate data items on the display that were selected with the oculometer or fixed reticle. The touch panel was included as a standard data entry device. Statistical analysis showed a significant difference in performance for the five configurations at the .0001 level. The reticle/switch, oculometer/switch, and touch panel are significantly faster than the reticle/voice, which in turn is significantly faster than the oculometer/voice. The reticle methods are faster than the oculometer methods. The switch action is faster than voice entry. The touch panel is twice as accurate as the other methods, all of which have about the same spatial accuracy whether oculometer or reticle, voice or switch. However, the oculometer/voice has nearly twice as many selection errors as the other methods.

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.

Comprehensive stem cell transplant (SCT) outcome data submission.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 293-293
Author(s):  
Roy B. Jones ◽  
Charles Martinez ◽  
J. Douglas Rizzo ◽  
Dianne Reeves
Keyword(s):  
Data Entry ◽  
Marrow Transplant ◽  
Outcome Data ◽  
Extended Model ◽  
Cell Transplant ◽  
Electronic Data ◽  
Common Data Elements ◽  
Cancer Data ◽  
Standard Data ◽  
Data Elements

293 Background: All U.S. transplant centers must report comprehensive SCT outcome data to a federal registry. The current electronic data capture method requires manual data entry of 700+ unique data elements into an internet application, FormsNet (Center for International Blood and Marrow Transplant Research). Data is routinely copied from program databases or the EMR by manual transcription, an inefficient, inaccurate and expensive process. A method was needed to allow electronic transmission of outcome data directly from these databases to the mandated SCT Outcomes Database (SCTOD). Methods: We designed an interface engine (IE) to transmit structured data through a caGRID subnet (AGNIS) directly to the SCTOD from a proprietary MDACC SCT database using a secure, auditable method. To make this method applicable to other centers, we collaborated with the NCI and others to expand the Biomedical Research Informatics Domain Group (BRIDG) standard data model to support a full set of granular data elements (>1,900) required to describe SCT outcomes. The IE was modified to transmit SCT data from the expanded BRIDG database to the SCTOD. The IE and expanded BRIDG database model will be made available to all centers without charge. In this way centers interfacing data to this new structure can transmit data to the SCTOD without transcription. Results: The BRIDG oversight committee has approved the extended model and made its structure and content publically available. The IE has been used to transmit >4,000 data forms from MDACC to the SCTOD. The full set of SCT common data elements (CDE) has been published in the Cancer Data Standards Repository of the NCI. The American Society of Blood and Marrow Transplantation is publishing an RFA to identify 1-3 vendors qualified to interface data from center-specific systems to the BRIDG database. Conclusions: Comprehensive and direct electronic data transmission to the SCTOD is feasible and can be done without modifying individual center’s legacy applications. The plan will make appropriate tools available to all transplant centers. This paradigm should be applicable to other areas of oncology.

XSDGuide - Automated Generation of Web Interfaces from XML Schemas: A Case Study for Suspicious Activity Reporting

2015 ◽  
Author(s):  
Fabrizio Gotti ◽  
Kevin Heffner ◽  
Guy Lapalme
Keyword(s):  
User Interfaces ◽  
Data Model ◽  
Information Dissemination ◽  
Data Entry ◽  
Web Page ◽  
Intelligent User Interfaces ◽  
Automated Generation ◽  
Web Interfaces ◽  
Suspicious Activity

This article presents XSDGuide, a software prototype aimed at facilitating the creation of user interfaces consistent with a data model expressed as a set of XML schemas. XSDGuide was developed while researching intelligent user interfaces for data entry associated with the production of Suspicious Activity Reports (SARs) conforming to NIEM-SAR, an XML-based information-dissemination framework. These SARs communicate potentially suspicious or unlawful incidents to the appropriate authorities. The XSD schemas defining a specific SAR are fed to XSDGuide, which then automatically creates user interface guides, rendered on a web page. The user can interact with this application to populate the report’s fields, validate the SAR being created and save the report as a valid XML instance. Validation is a two-step process, where a JavaScript ruleset created from the schema pre-validates the document in the browser before it is sent for full validation to the back end, which relies on a traditional full-fledged validator. Despite the prototype’s limitations, the HTML interfaces that are generated allow users to inspect and become familiar with complex schemas and also to produce validated XML instance documents for the purposes of experimentation and testing.

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 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
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