SARI : A User-Oriented Data Bank System for Medical Applications

1976 ◽  
Vol 15 (02) ◽  
pp. 69-74
Author(s):  
M. Goldberg ◽  
B. Doyon
Keyword(s):  
Data Base ◽  
Personal Data ◽  
Data Bank ◽  
Medical Applications ◽  
Basic Principles ◽  
Base Management ◽  
General Data ◽  
Privacy Problem ◽  
Bank System ◽  
Made In

This paper describes a general data base management package, devoted to medical applications. SARI is a user-oriented system, able to take into account applications very different by their nature, structure, size, operating procedures and general objectives, without any specific programming. It can be used in conversational mode by users with no previous knowledge of computers, such as physicians or medical clerks.As medical data are often personal data, the privacy problem is emphasized and a satisfactory solution implemented in SARI.The basic principles of the data base and program organization are described ; specific efforts have been made in order to increase compactness and to make maintenance easy.Several medical applications are now operational with SARI. The next steps will mainly consist in the implementation of highly sophisticated functions.

Microcomputer Data Base Management of Bibliographic Information

1981 ◽  
Vol 9 (4) ◽  
pp. 461-472 ◽  
Author(s):  
Sandra S. Hutton ◽  
S. Ray Hutton
Keyword(s):  
Social Science ◽  
Data Base ◽  
Word Processing ◽  
Personal Data ◽  
Management Program ◽  
Science Literature ◽  
Data Base Management ◽  
Social Science Literature ◽  
Base Management ◽  
Stored Information

A microcomputer data base management system designed for the personal use of social science researchers is presented. Discussed are data base needs required for a body of social science literature, existing microcomputer hardware and data base management software, development of a microcomputer data base management program suitable for storage retrieval of a body of social science literature, and ways a data base can be useful. Major advantages of establishing a personal data base of literature include permanent storage of information, ease of finding stored information, and the manipulation of information for word processing and other applications.

The implications of data base management systems to paleontology: a discussion of Jurassic ammonoid data

1986 ◽  
Vol 60 (2) ◽  
pp. 327-340 ◽  
Author(s):  
Paul L. Smith
Keyword(s):  
Data Base ◽  
Data Entry ◽  
Data Bank ◽  
Geographic Area ◽  
Multivariate Techniques ◽  
Data Base Management ◽  
Base Management System ◽  
Morphologic Variation ◽  
Data Base Management System ◽  
Base Management

Data from current research dealing with Jurassic ammonoids and stratigraphy of western North America are being stored in a computer file called AMMON using a data base management system. Each ammonite is described by up to 94 descriptors divided into the following six categories: taxonomy, quantitative morphology, qualitative morphology, stratigraphy, locality-catalogue information and general remarks. Data entry is facilitated by the use of a template on a video display terminal, the use of code numbers instead of full names and the bulk entry of hierarchic data. The computer can be used to speed fossil identification and retrieve geologic data by matching lists of descriptor states for a given specimen against those stored in the data bank. By interfacing with statistical analytical systems a ‘profile’ of a given taxon can be generated showing ranges of morphologic variation for any stage of ontogeny. Multivariate techniques are readily employed and subtle patterns of covariation more easily assessed. The data base may also be questioned to instantly generate taxonomic lists by zone, geographic area, lithostratigraphic unit, etc. (or any combination thereof) so that its research potential is considerable.AMMON is a prototype meant to serve as a basis for discussion in developing a globally acceptable ammonoid data base. If code numbers for taxonomic, morphologic and stratigraphic data are standardized, information can be exchanged internationally using magnetic tapes and then decoded by the computer into any language. As data bases proliferate, they will inevitably make paleontological information more readily accessible to the specialist and non-specialist alike.

Computerized Data Bank System for Temporal Bone Histopathology

1988 ◽  
Vol 97 (2) ◽  
pp. 195-198
Author(s):  
Taeko Okuno ◽  
Conrad Wall ◽  
Isamu Sando
Keyword(s):  
Temporal Bone ◽  
Data Bank ◽  
General Information ◽  
Qualitative Information ◽  
General Terms ◽  
Pathologic Findings ◽  
Base Management ◽  
Bank System ◽  
The University ◽  
Digital Equipment

A computerized data bank system to store and analyze temporal bone histopathologic data is described. This system uses the University of Pittsburgh's Digital Equipment Corporation System 10 computer and the System 1022 data base management software. Data on histology cases are divided into five files: General information, otologic information, summary, histopathologic information about the external ear and middle ear, and histopathologic information about the inner ear. Eleven general terms are used to describe pathologic findings, surgery, postmortem degeneration, and artifacts. In addition, provision is made for the inclusion of more precise qualitative information to be entered as text.

The Risk-Based Approach to Data Protection

2020 ◽  
Author(s):  
Raphaël Gellert
Keyword(s):  
Risk Management ◽  
Data Protection ◽  
Personal Data ◽  
Management Tools ◽  
General Data Protection Regulation ◽  
Regulation Theory ◽  
Régulation Theory ◽  
General Data ◽  
Data Protection Law ◽  
The Way

The main goal of this book is to provide an understanding of what is commonly referred to as “the risk-based approach to data protection”. An expression that came to the fore during the overhaul process of the EU’s General Data Protection Regulation (GDPR)—even though it can also be found in other statutes under different acceptations. At its core it consists in endowing the regulated organisation that process personal data with increased responsibility for complying with data protection mandates. Such increased compliance duties are performed through risk management tools. It addresses this topic from various perspectives. In framing the risk-based approach as the latest model of a series of regulation models, the book provides an analysis of data protection law from the perspective of regulation theory as well as risk and risk management literatures, and their mutual interlinkages. Further, it provides an overview of the policy developments that led to the adoption of such an approach, which it discusses in the light of regulation theory. It also includes various discussions pertaining to the risk-based approach’s scope and meaning, to the way it has been uptaken in statutes including key provisions such as accountability and data protection impact assessments, or to its potential and limitations. Finally, it analyses how the risk-based approach can be implemented in practice by providing technical analyses of various data protection risk management methodologies.

scholarly journals Application of Blockchain in Education: GDPR-Compliant and Scalable Certification and Verification of Academic Information

2021 ◽  
Vol 11 (10) ◽  
pp. 4537
Author(s):  
Christian Delgado-von-Eitzen ◽  
Luis Anido-Rifón ◽  
Manuel J. Fernández-Iglesias
Keyword(s):  
Data Protection ◽  
Personal Data ◽  
General Data Protection Regulation ◽  
Certification System ◽  
Proposed Model ◽  
Different Types ◽  
International Regulations ◽  
Innovative Solution ◽  
General Data ◽  
Academic Information

Blockchain technologies are awakening in recent years the interest of different actors in various sectors and, among them, the education field, which is studying the application of these technologies to improve information traceability, accountability, and integrity, while guaranteeing its privacy, transparency, robustness, trustworthiness, and authenticity. Different interesting proposals and projects were launched and are currently being developed. Nevertheless, there are still issues not adequately addressed, such as scalability, privacy, and compliance with international regulations such as the General Data Protection Regulation in Europe. This paper analyzes the application of blockchain technologies and related challenges to issue and verify educational data and proposes an innovative solution to tackle them. The proposed model supports the issuance, storage, and verification of different types of academic information, both formal and informal, and complies with applicable regulations, protecting the privacy of users’ personal data. This proposal also addresses the scalability challenges and paves the way for a global academic certification system.

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