Dynamic Metadata Management System for Digital Archives

2005 ◽  
pp. 55-75
Author(s):  
Shien-chiang Yu ◽  
Hsueh-hua Chen ◽  
Chao-chen Chen
Keyword(s):  
Management System ◽  
Metadata Management ◽  
Digital Archives ◽  
Data Types ◽  
Data Format ◽  
Digital Museum ◽  
National Science ◽  
National Science Council

This chapter describes metalogy, an XML/metadata framework that can handle several different metadata formats. Metalogy was developed under the Digital Museum Project funded by the National Science Council of Taiwan. It is common to have different data types and catalog formats even within one organization. In order to accommodate a variety of objects, it is often necessary to adopt several metadata formats. Thus, when designing a metadata management system, one needs to be able to handle heterogeneous metadata formats. XML, being a standard gaining increasing popularity, is also often used as data format so that exchange between data can be done in a uniform way.

scholarly journals A comprehensive, FAIR file format for neuroanatomical structure modeling

2020 ◽  
Author(s):  
A. E. Sullivan ◽  
S. J. Tappan ◽  
P. J. Angstman ◽  
A. Rodriguez ◽  
G. C. Thomas ◽  
...  
Keyword(s):  
Biological Research ◽  
File Format ◽  
Data Types ◽  
Alternative Analysis ◽  
Data Format ◽  
Digital Reconstruction ◽  
Data Files ◽  
Rich Data ◽  
Scientific Questions ◽  
Neuroscience Community

AbstractWith advances in microscopy and computer science, the technique of digitally reconstructing, modeling, and quantifying microscopic anatomies has become central to many fields of biological research. MBF Bioscience has chosen to openly document their digital reconstruction file format, Neuromorphological File Specification (4.0), available at www.mbfbioscience.com/filespecification (Angstman et al. 2020). One of such technologies, the format created and maintained by MBF Bioscience is broadly utilized by the neuroscience community. The data format’s structure and capabilities have evolved since its inception, with modifications made to keep pace with advancements in microscopy and the scientific questions raised by worldwide experts in the field. More recent modifications to the neuromorphological data format ensure it abides by the Findable, Accessible, Interoperable, and Reusable (FAIR) data standards promoted by the International Neuroinformatics Coordinating Facility (INCF; Wilkinson et al. 2016). The incorporated metadata make it easy to identify and repurpose these data types for downstream application and investigation. This publication describes key elements of the file format and details their relevant structural advantages in an effort to encourage the reuse of these rich data files for alternative analysis or reproduction of derived conclusions.

Database Considerations for an ICU Patient Data Management System

1991 ◽  
Author(s):  
N. Fumai ◽  
C. Collet ◽  
M. Petroni ◽  
K. Roger ◽  
E. Saab ◽  
...  
Keyword(s):  
Data Management ◽  
Real Time ◽  
Data Storage ◽  
Relational Database ◽  
Management System ◽  
Patient Data ◽  
Patient Data Management System ◽  
Data Management System ◽  
Data Types ◽  
Management Structure

Abstract A Patient Data Management System (PDMS) is being developed for use in the Intensive Care Unit (ICU) of the Montreal Children’s Hospital. The PDMS acquires real-time patient data from a network of physiological bedside monitors and facilitates the review and interpretation of this data by presenting it as graphical trends, charts and plots on a color video display. Due to the large amounts of data involved, the data storage and data management processes are an important task of the PDMS. The data management structure must integrate varied data types and provide database support for different applications, while preserving the real-time acquisition of network data. This paper outlines a new data management structure which is based primarily on OS/2’s Extended Edition relational database. The relational database design is expected to solve the query shortcomings of the previous data management structure, as well as offer support for security and concurrency. The discussion will also highlight future advantages available from a network implementation.

scholarly journals Research on Metadata Management System of Linkage Service of Scientific Data and Scientific Literature

2018 ◽  
Vol 246 ◽  
pp. 03026
Author(s):  
Xiujuan Wang ◽  
Jiankui Chen ◽  
Xuerong Li
Keyword(s):  
System Architecture ◽  
Management System ◽  
Scientific Literature ◽  
Scientific Research ◽  
Scientific Data ◽  
Metadata Management ◽  
Scientific Content ◽  
Research Environment ◽  
Data Intensive ◽  
Research Organizations

In the data-intensive scientific research environment, the linkage of scientific data and scientific literature forms a complete body of scientific content. The literature and data serve scientific research together, which have become a hot issue of scientific research organizations. Starting from the metadata description elements of scientific data and scientific literature, this paper summarizes and analyses the association models of author association, keyword association and subject category association based on metadata description. On this basis, this paper describes the metadata management system architecture and system functions of linkage service of scientific data and scientific literature, providing some references for the relevant researchers.

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