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DITA,
Topic-Based Authoring, and Information Mapping: What Authors Need to Know
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March 2007 |
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Vol. 15, No. 1 |
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DITA, Topic-Based Authoring, and Information
Mapping®: What Authors Need to Know
By Cynthia Whitty, Public Relations Specialist
Introduction
Why so much buzz about Darwin Information Typing Architecture, or DITA,
at training and documentation conferences? Why is it gaining popularity
among technical writers? And how can authors use DITA and Information
Mapping together to create usable, reusable content? A frequent speaker
at conferences throughout the country, Deborah Kenny, Vice President and
General Manager of Learning Solutions at Information
Mapping, Inc., answers these questions and others.
Topic-Based Authoring
According to Kenny, topic-based authoring is “… the process
of systematically organizing content into independent units that contain
the information users need to know on a single subject.”
Kenny explains that topic-based authoring was first
developed by Information Mapping’s founder, Robert E. Horn, in the
late 1960s, based on research and studies on the way people remember and
learn complex information. Horn developed the Information Mapping method
(The Method™) as a systematic way to teach people to develop topics
or, as he called them, “Information Maps.” Kenny says that
topics should usually contain between five and nine related ideas. They
contain more than a traditional paragraph, but less than what would normally
be contained in a section or chapter.
Writing information in topics has many benefits. It
saves organizations time and money by increasing information reuse and
making information easier to manage and maintain. A single topic can be
used in many formats, such as print, Web, and Help and, because it is
written in small, modular chunks, is easier to translate and customize.
Topic-based authoring is usually based on clear standards for organizing
information, which improves the effectiveness of the information and greatly
increases consistency.
The Challenges Authors
Face
Most authors are used to writing narratives that string paragraphs together
in a specific context to form sections and chapters. They often do not
have experience writing small pieces of stand-alone topic-level content
that will work equally well for different audiences, different purposes,
and different media. Authors who need to write reusable, modular content,
struggle to
- agree to and comply with new standards
- learn complex authoring tools, and
- tag content effectively.
Moving to topic-oriented writing takes training and
a new way of thinking.
Two Approaches: DITA and
Information Mapping
Kenny describes two approaches that can help authors reuse topic-based
content: DITA and Information Mapping.
The
DITA Approach
DITA is a mark-up language and document architecture developed by IBM
to meet the need for reuse, shorter development cycles, and cost savings.
DITA was designed to be used for technical information, especially complex
product documentation and is now being managed as an open source standard
by a technical committee at the Organization for the Advancement of Structured
Information Standards (OASIS),
a nonprofit, international consortium.
DITA is based on the concepts of XML, DITA Topics, Minimalism,
Information Types, DITA Maps, and Specialization and Inheritance.
XML
As an Extensible Markup Language (XML) standard,
DITA provides a set of element tags, attribute tags, and architectural
specifications that allow authors to describe the structure of their content
in a consistent, format- and media-independent way.
DITA Topics
DITA embraces Information Mapping’s concept of the topic
as the optimal unit of information for reuse. Topics are defined in DITA
through XML element tags and related architectural guidelines that define
what types of information can and cannot be included in a topic. The illustration
shows the structure and element tags for a base topic as defined by DITA.

Minimalism
Minimalism is an instructional design theory
proposed by John M. Carroll that suggests that people learning new software
systems should be focused on completing real tasks, rather than reading
unnecessary conceptual information. The theory says that this approach
best-reflects how people naturally prefer to learn, and that users will
learn more if they have an opportunity to explore the software and recover
from their own mistakes. Minimalism is reflected in the DITA standard
through the strong emphasis on creating tasks that are supported by and
separate from concepts and reference information.
Information Types
DITA identifies the following three specialized “information
types” which identify and provide rules for topics
based on their purpose for the user.
| Topic Type |
Function |
| Concept |
Provides the background information needed to complete a task. |
| Task |
Explains how to do something. |
| Reference |
Provide features, facts, lists, or similar information that users
might need to look up. |
DITA
Maps
DITA Maps enable authors to create one or more
tables of contents that connect and reference topics in different ways
for different audiences, purposes, or outputs. The “Map” provides
the links to the locations of the topics to be used for a specific purpose.
Specialization and Inheritance
DITA can be customized to a company’s needs by defining or extending
specialized information types or element tags,
using the existing ones as a base. New elements inherit
the properties of their base elements. Because only the differences need
to be described, it is relatively easy to create and define a DITA specialization
for a new purpose.
Advantages
and Limitations of DITA
By combing the concepts of topic-based authoring, minimalism, information-types,
and XML, DITA provides a simplified standard for technical documentation
that can be used across a wide range of organizations to facilitate the
sharing and reuse of task-based content. However, DITA simply describes
the structure of the content and requirements for tagging it. It does
not provide authors with help determining how to author content in this
new way, and, unless they use extensive specialization, authors are forced
to stay within DITA’s very rigid and limited assumptions about how
information should be developed and used.
Continued
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