SWALIM stands for Somalia Water & Land Information Management, and the project aims at improving water and food security. For this a lot of data is needed, and fifteen years of civil strife have contributed to this not being available. There has been loss of and damage to most relevant information collected over the previous half century. This has led to Somalia falling behind other African countries such as South Africa, Kenya, Botswana, Mali and Nigeria in moving towards national SDI. Our objectives now are to collect the data needed for water and land-resources management, to derive user-friendly information from that data, to store the information in easily accessible databases and to disseminate it via both conventional and electronic media. Current activities include an irrigation geo-database, rainfall and climate network stations and data collection and collation of soils, geological and hydrological data. The project aims also at building capacity, so that Somali institutions become capable of taking over SWALIM functions in the future. The project is funded by the European Commission, with a 5% contribution from UNICEF, and implemented by the United Nations Food and Agriculture Organisation (FAO).

Working Together
To achieve its aim, the project is trying to recover lost information from all over the world and in collaboration with partner agencies to re-establish data collection networks, with SWALIM acting as a repository for all information collected. The data and information is freely available to anyone working in related fields in Somalia, through outlets including the website, email request, the project’s information resource centre and dedicated Liaison Offices in Somalia. Dissemination media include Web downloads, searchable catalogue, information CDs, reference library and stand-alone databases and applications. In the long run, emerging and future Somali administrations should take an information-based approach, treating information baselines as priority assets. In the current absence of central government, FAO acts as custodian of the information. We also work with many partner NGOs and international agencies, collecting essential baseline data on a continual basis.

SDI and Somalia
The implementation of a SDI involves, in addition to technical matters, also institutional matters relating to organisational responsibilities, overall national information policies, and financial and human resources. A well-functioning SDI requires common core geo-datasets organised according to widely accepted standards to which other geo-data can be easily referenced. In Somalia such core geo-datasets do not exist. Agencies use their own data-collection methods, and different projections, spheroids and datum. There are no commonly accepted datasets except on a few, rare occasions. Moreover, core data should be readily accessible and available at little or no cost from user-friendly and seamless sources, to meet public needs and encourage conformance with it by producers of other geospatial data. In Somalia many agencies work in isolation and do not share their data. Some agencies sell their data, while others provide it free. There is no warehouse structure set up to act as a data clearinghouse. A good SDI requires also that both core and other geodata is updated according to accepted standards. In Somalia, only in some sectors, such as water resources, are agencies working together to harmonise data collection and avoid duplication of effort.

Benefiting the Most
A good SDI also requires that thematic and tabular data be compatible with the core data. In Somalia, data is available in all kinds of formats and an accepted standard format for data distribution does not exist. What is more, there should compatibility between geo-data produced by one producer and similar data produced by others. SWALIM where possible used international standards; however, this may not be the case with other organisations. A good SDI should also make possible integration of geodata with many other datasets to produce information useful for decision-makers and the public. A great deal of capacity building is needed in Somalia, not only to convert data to information, but also to be able to interpret that information. In addition the responsibility for generating, maintaining and distributing data should be widely shared by different levels of government and the private sector. Governments take advantage of private-sector capabilities available at reasonable prices rather than maintain dedicated capabilities. There is an active private sector in Somalia that flourishes (especially in the Information Technology sector) thanks to lack of government controls. Finally, the costs of generating, maintaining, and distributing such data should be justified in terms of public benefit and/or private gain; overlap and duplication among participating organisations should be avoided wherever possible. The costs of data collection and distribution are justified in Somalia as long as information ends up in the hands of the Somali authorities, where it will be of benefit to the most. Overlap and duplication of effort is largely minimised by considerable donor co-ordination on the part of the Somalia Aid Co-ordination Body (SACB).

Parts In Place
The factors central to the effective use of available geo-information, include:

• clearly defined core (or base) geo-datasets; core datasets involve ‘the minimum primary sets of data that cannot be derived from other datasets and that are required to spatially represent phenomena, objects or themes important for the realisation of economic, social and envir-onmental benefits consistently across Africa at local, national, sub-regional and regional level
  
• adherence of geographic data-sets to known and accepted standards
  
• accessible documentation about existing geo-information (metadata)
  
• policies and practices which promote the exchange and reuse of information
  
• adequate human and technical resources for collecting, maintaining, manipulating and distributing geo-information.

• designation of a full-time, paid co-ordinator with authority to implement state business and strategic plans
  
• a clearly-defined authority for national co-ordination of geospatial information technologies and data production
  
• formal relationship between national co-ordination office and the state’s Chief Information Officer
  
• a champion (politician or executive decision-maker) aware of and involved in the process of co-ordination
  
• assignation of responsibilities for developing the SDI and clearinghouse
  
• state government capacity to work with and co-ordinate local government, academia and the private sector
  
• existent sustainable funding sources to meet projected needs
  
• co-ordinators with authority to enter into contracts and become capable of receiving and spending funds
  
• federal government working through the national co-ordinating authority.

• Gyamfi-Aidoo, J., C. Schwabe & S. Govender, 2005: Determination of the Fundamental Geospatial Datasets for Africa through a User Needs Analysis – A Synthesis Report. EIS Africa.
  
• Lance, K.T., 2003: Spatial data infrastructure in Africa: spotting the elephant behind trees. In: GIS@development: the Asian GIS monthly 7(7): 35-41. http://130.11.63.121/SDIA/KateArticle.pdf
  
• Masser, I. 2005: GIS Worlds: Creating Spatial Data Infrastructures. ESRI Press, Redlands, California, USA.
  
• Nebert, D.D. (Ed) 2004: Developing Spatial Data Infrastructures GSDI Cookbook, Version 2.0. Technical Working Group Chair, GSDI.
  
• U.N. Economic Commission for Africa, 2004. SDI-Africa: an implementation guide. Lance, K. (editor). Accessed online, http://geoinfo.uneca.org/sdiafrica/
  
• Spatial Information Management Toolkit - Module 4: Spatial data priorities, standards and compliance. Australian Local Government Association (ALGA) and ANZLIC - the Spatial Information Council. 2004.

J. Cody is an Environmental/Mechanical Engineer who has worked in the humanitarian sector in Africa for more than eleven years. He has worked as Water Co-ordinator for the SWALIM Project in a consultant capacity for the past two years, during which time he has been responsible for development of water-resources Information Systems.

Dr L. Njeru is an FAO consultant and is currently working on the SWALIM project as an Information Management consultant. He received his PhD degree in Natural Science from the University of Berne, Switzerland, and has worked for over ten years on a watershed research project on Mount Kenya.