Systematic data management

2017 ◽  
pp. 75-90
Author(s):  
Cameron Nordell ◽  
◽  
Alastair Franke ◽  
◽  
◽  
...  
Keyword(s):  
Data Management ◽  
Systematic Data

scholarly journals Keeping Track of Scientific Dives in Countries with Incipient Diving Programmes: The Scidive Record Forms

2020 ◽  
Vol 72 (3) ◽  
pp. 29-38
Author(s):  
Bernabé Moreno
Keyword(s):  
North America ◽  
Data Management ◽  
Developed Countries ◽  
Basic Information ◽  
Systematic Data ◽  
Global Standards ◽  
Scientific Diving

Abstract Pre-dive checks and dive logs are fundamental documentation for any diving operation and must be incorporated as mandatory ‘good operating practices’ in scientific diving (SD) projects. Data included in dive logs may vary in detail, however, there is basic information to provide based on global standards. Differently to several developed countries in Europe, North America and Australasia, there are countries with incipient, sometimes non-regulated, SD programmes. In this article the importance of documentation in SD is highlighted and record forms are provided as templates, including versions both in English and Spanish. The Diving Supervisor (DS) is the designated person to fill the ‘Daily SciDive Log’ and ‘SCUBA & surface-supplied LogSheet’ (Table 1, 2 and 3, respectively), whilst every diver is responsible for filing their own ‘SciDiver’s Digital LogBook’ (Table 4). General and specific considerations for all tables are described throughout the text. This effort was done to facilitate systematic data management and start developing the bases towards solid national/regional standards on scientific diving operations, particularly for those countries with incipient (scientific) diving programmes.

scholarly journals Stores Separation Simulation Development: A Roadmap to System Realisation via Intelligent Data Management System

2014 ◽  
Vol 629 ◽  
pp. 333-337
Author(s):  
Shamsul Bahri Faat ◽  
Amzari Zhahir ◽  
Mohamed Tarmizi Ahmad ◽  
M.R. Ajir
Keyword(s):  
Data Mining ◽  
Data Management ◽  
Management System ◽  
Program Review ◽  
Simulation Program ◽  
Data Management System ◽  
Systematic Data ◽  
Simulated Environment ◽  
Store Separation ◽  
And Function

An Intelligent-Data Management System (IDMS) for store separation analysis has been developed for Stores Separation Simulation program. The characteristics of the IDMS generically focuses on gathering, collecting, analysing, reporting, summarising and visualising validated data prior separation activity in simulated environment. The components of IDMS are Aircraft Configuration, Interface Configuration, Stores Geometry, Pylon Configuration and Cube (a multi-dimensional visibility of Form, Fit and Function stores-platform Data Verifier). Overall, this project combined information from separation patterns analysis by integrating multi-dimensional databases, systematic-data orchestration; rules based data mining for stores separation verifier into one data management system. This paper presents the program review of overall store separation simulation program.

Health Informatics: Handle with Caution

1997 ◽  
Vol 36 (02) ◽  
pp. 79-81
Author(s):  
V. Leroy ◽  
S. Maurice-Tison ◽  
B. Le Blanc ◽  
R. Salamon
Keyword(s):  
Health Care ◽  
Data Management ◽  
Medical Informatics ◽  
Health Care Professionals ◽  
Data Security ◽  
Health Informatics ◽  
The Other ◽  
Inappropriate Use

Abstract:The increased use of computers is a response to the considerable growth in information in all fields of activities. Related to this, in the field of medicine a new component appeared about 40 years ago: Medical Informatics. Its goals are to assist health care professionals in the choice of data to manage and in the choice of applications of such data. These possibilities for data management must be well understood and, related to this, two major dangers must be emphasized. One concerns data security, and the other concerns the processing of these data. This paper discusses these items and warns of the inappropriate use of medical informatics.

Data Management in an Epidemiological Study : Experiences from the Iowa 500 Field Follow-up and Family Study

1980 ◽  
Vol 19 (01) ◽  
pp. 37-41
Author(s):  
R. F. Woolson ◽  
M. T. Tsuang ◽  
L. R. Urban
Keyword(s):  
Data Management ◽  
Epidemiological Study ◽  
Family Study ◽  
Data Sets ◽  
Data Handling ◽  
Management Decisions ◽  
Numerous Data ◽  
Made In

We are now conducting a forty-year follow-up and family study of 200 schizophrenics, 325 manic-depressives and 160 surgical controls. This study began in 1973 and has continued to the present date. Numerous data handling and data management decisions were made in the course of collecting the data for the project. In this report some of the practical difficulties in the data handling and computer management of such large and bulky data sets are enumerated.

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