1. Using DITA Learning Topics for Information Modeling and Learning Content Development for Disaster Risk Preparedness in the Agricultural Sector Jan Beniest World Agroforestry Centre (ICRAF), Nairobi, Kenya Thomas Zschocke & Juan Carlos Villagrán de León United Nations University Institute for Environment and Human Security (UNU-EHS), Bonn, Germany Workshop: Learning Technology Standards for Agriculture and Rural Development - 4th International Conference on Information & Communication Technologies in Bio & Earth Sciences, September 18- 20, 2008, Athens, Greece

2. UNU- BIOLAC Biotechnology and society UNU-CRIS Local & global governance, regional integration UNU-EHS Environment and human security UNU-FNP Food and nutrition capacity building UNU-GTP Geothermal research, exploration and development UNU-IAS Strategic approaches to sustainable development UNU-IIGH Global health UNU-IIST Software technologies for development UNU-ILI Leadership development UNU-INRA Natural resources management UNU-INWEH Water, environment and human health UNU-MERIT Socio-economic impacts of new technologies UNU-WIDER Development economics UNU-HQ UNU-Centre UNU-FTP Postgraduate fisheries research and development United Nations University system

3. Scientist Partners scientist Learner Advisor Mentor Higher education Technical / professional training Community-based capacity building Scientific documentation Technical documentation Training materials PR / PA materials Research output Research article Technical report Working paper Policy paper Thesis work Manuals Guidelines Policies & procedures Case studies Worksheets Technical information sheets Pamphlets Brochures Annual reports Textbooks Exercises Tests / assessments Simulation Models, charts Newsletters Scientists produce content once, and reuse it for different purposes, in different formats and delivery channels Reuse content within an organization (intra) Reuse content across different organizations (inter) Develop a content strategy to integrate both technical data (“information objects”) and training data (“learning objects”) based on open standards, e.g., XML, DITA, SCORM Produce both technical content and learning content from legacy material Produce dual-purpose content for both technical documentation and customized training Generating content knowledge

4. Learning object content model

5. CG LOM Core

6. CGIAR OLR repository

7. CGIAR OLR Moodle LMS

8. Workflow learning content generation

9. DITA basic topic types

10. Reusing DITA topics

11. Writing DITA topic content

13. Exporting DITA topic content

14. Reusing content

15. Analyzing content for reuse

16. DITA learning content

17. Mapping DITA learning content

18. Generating DITA learning content