Foreword
Introduction
1 Scope
2 Normative references
3 Definitions
3.1 Resources
3.2 Data categories
3.3 Data modelling
3.4 Applications
4 Terminology Management Systems
4.1 General description
4.2 Types of Terminology Management Systems
5 Project phases
5.1 Overview
5.2 Conducting a pre-feasibility study
5.3 Conducting a feasibility study
5.4 Conducting a use-case analysis
5.5 Establishing system requirements
5.6 Analyzing cost-effectiveness
5.7 Designing the system
5.8 Developing the system
5.9 Deploying the system
5.10 Testing
5.11 Populating, using, and maintaining the TMS
6 User-centered design
6.1 General
6.2 User-based approaches
6.2.1 Identify the users and their needs
6.2.2 Identifying output products
6.2.3 Analyze the tasks to be performed and create
use cases
6.2.4 List and prioritize the requirements
6.2.5 Conduct a competitive evaluation
6.2.6 Prepare and evaluate a design prototype
6.2.7 Adjust the design according to user feedback
6.2.8 Perform a beta assessment
7 Terminological data categories
7.1 General introduction to data categories
7.2 Principles governing data category selection and use
7.2.1 Concept orientation of terminological entries
7.2.2 Contextual or semantic data categories
7.2.3 Term autonomy
7.2.4 Repeatability
7.2.5 Granularity
7.2.6 Data category elementarity
7.3 Types of data categories
7.3.1 Open, closed, and simple data categories
7.3.2 Mandatory, optional, automatic, and default
data categories
7.3.3 Access levels: read, read-write, and hidden
data categories
7.3.4 Multimedia files
7.3.5 Shared resources
7.3.6 Relations between entries
7.4 Database and data entry structures
7.5 Factors affecting data category selection
7.6 Translation-specific data categories
7.7 Prescriptive data categories
7.8 Data categories indicating workflow stages
7.9 Standardized data category names and meanings
8 Data modelling for Terminology Management Systems
8.1 Concept orientation
8.2 The terminological meta-model
8.3 Application-oriented data modelling
8.3.1 Approaches to data modelling
8.3.2 Data modelling
8.3.3 Considerations for legacy data
8.4 Partially equivalent concepts
9 Implementation
10 Deployment
10.1 Overview of deployment activities
10.2 Documentation, help, and educational materials
10.3 Support and maintenance
10.4 Interdependencies
10.5 Announcements and ongoing promotion
10.6 Delivery
10.7 Training
10.8 User satisfaction
11 User interfaces
11.1 General
11.2 Display and arrangement of terminological data
11.2.1 Display of terminological data categories
11.2.2 Display and arrangement of terminological
entries
12 Inputting and editing data
12.1 Data input
12.1.1 Manual data input
12.1.2 Importing data
12.2 Editing data
12.3 Data validation
12.4 (Semi)automatic generation or modification of field
content
12.5 Character encoding
12.6 Cross-references
12.7 Multimedia files
13 Search functions
13.1 General
13.2 Searching for a concept entry
13.3 Complex search and filtering
13.4 Browsing
13.5 Display of search results
14 Data output
14.1 Multiple search results
14.2 Sorting
14.3 Production of printouts and printed vocabularies
14.4 Data output for other applications
15 Organizing and administering the system
15.1 General
15.2 Data flow management
15.2.1 Importance of data flow management
15.2.2 Data structures and maintenance
15.2.3 Data security
15.2.4 Access control
15.2.5 Interchange procedures
15.3 Organization
15.3.1 Staff infrastructure
15.3.2 User support
15.3.3 Copyright and other legal aspects
15.3.4 Cost control and resource management
Annex A (informative) - Alphabetical index of terms
Annex B (informative) - Case studies: Data categories and
data modelling
Bibliography