Data and Information for Integrated Water Resources Management (IWRM): Needs and Challenges
Perspectives on data and information sharing and management are varied amongst individuals, organizations and countries. It refers to different needs and challenges among them to collect and keep the data in sustainable ways and practices. The big challenges related to data and information in Integrated Water Resources Management (IWRM) is to acquire and compile data and information in a timely manner. These need to be discussed in order to better understand the needs of data and information to be packaged in the appropriate way for various stakeholders i.e. government, private sector, NGO, academia, public, etc. in order to overcome barriers in data and information sharing exercise. Challenges in differences of software and hardware matters of data and information management are also important to be discussed and streamlined in order to facilitate the implementation of IWRM in our countries and regions. Collaboration among agencies and all related stakeholders is very much needed to realize this aspiration. Collaborative Decision Making (CDM) is seen to be a suitable mechanism for data and information sharing and exchange among agencies, where data and information need to be obtained through consensus and consultation mechanism. CDM needs involvement of relevant stakeholders to work together as partners and make decisions collaboratively in aspects related to various issues in water resources management. CDM will also ensure a more informed and holistic decision-making in water resources management.
Allen, W. and M. Kilvington (1999). Why Involving People is Important: The Forgotten Part of Environmental Information System Management. Proceedings: 2nd International Conference on Multiple Objective Decision Support Systems for Land, Water and Environmental Management (MODSS ’99), 1-6 August 1999, Brisbane, Australia. http://www.webtrendslive.com/redirect.asp? siteID=114789 (14 September 2002).
APEC-VC Japan (2007). APEC Virtual Centre for Environmental Technology Exchange. http://www.apec- vc.or.jp/
Bauer, M.R. and J. Randolph (1998). Exploring the characteristics of Collaborative Environmental Decision Making. Blacksburg: Virginia Tech.
CDR Associates (2002). Environmental and Public Policy Decision Making Program. http://www.mediate.org/ env_pub_pol.htm (18 January 2002).
DOE (2005). Annual Report 2005. Department of Environment, Malaysia.
Elfithri, R., Mokhtar, M.B., Shah, A.H.H. and S. Idrus (2002). Collaborative Decision Making Issues in Sustainable Water Resources Management: A Case Study on Langat Basin. In: Jahi, J.M., Nor, M.M.J., Sopian, K., Sahid, I. and Shah, A.H.H. (Editors). Proceedings of the International Conference on Environmental Management: Ten Years After Rio. Realising Agenda 21. October 22 and 23, 2002. Selangor, Malaysia. pp. 304-314. ISBN 983-2446-64-3.
Elfithri, R., Mokhtar, M.B., Shah, A.H.H. and S. Idrus (2004). Collaborative decision-making as one of best practices in integrated water resources management: A case study on Langat Basin, Malaysia. In: Jahi, J.M., Arifin, K., Surif, S. and Idrus, S. (Editors). Proceedings 2nd Bangi World Conference on Environmental Management. Facing Changing Conditions. 13th-14th September 2004. Selangor, Malaysia. pp. 109-116. ISBN 983-2975-27-1.
Elfithri, R. (2006). Pembuatan Keputusan Kolaboratif dalam konteks Pengurusan Sumber Air Bersepadu (English translation: Collaborative Decision Making within the context of Integrated Water Resources Management). PhD Thesis. Universiti Kebangsaan Malaysia (UKM), Malaysia.
Gale, T. (2007). Implementing a Strategy of Effective Fab Data Management. http://find.galegroup.com/itx (8 July 2007).
Halsall, F. (1997). Data Communication, computer networks and Open Systems. 4th edition. Addison-Wesley. USA.
EPU (2004). Malaysian Quality of Life. Economic Planning Unit. Prime Minister’s Department, Malaysia. www.epu.jpm.my (9 July 2007).
Mokhtar, M.B., Elfithri, R. and A.H.H. Shah (2004a). Collaborative Decision Making as a Best Practice in Integrated Water Resources Management: A Case Study on Langat Basin, Malaysia. In: Proceedings (Technical Papers), First Southeast Asia Water Forum. 17-21 November 2003, Chiang Mai, Thailand, 2: 333-354. ISBN 974-241-776-8.
Mokhtar, M.B., Elfithri, R. and A.H.H. Shah (2004b). Collaborative Decision Making in the Langat River Basin: Potential Indicators for management of Water Resources. In: Ghani, A.A., Zakaria, N.A., Abdullah, R. and Ahamad, M.S.S. (Editors). Rivers’04. Proceedings of the 1st International Conference on Managing Rivers in the 21st Century: Issues and Challenges. 21-23 September 2004. Penang, Malaysia. ISBN 983-3067-08-5. pp. 370-374.
Mokhtar, M.B. and R. Elfithri (2005). Participatory Management for Integrated Water Resources Management Through Collaborative Decision Making. In: IWRM Consultation for Senior Executives in the Public Sector. 27-29 July 2005. Port Dickson, Negeri Sembilan, Malaysia: Malaysian Network on Capacity Building in IWRM
(MyCapNet) and Malaysian Water Partnership (MyWP).
Mokhtar, M.B. and Faizul, N.M.N. (2007). APEC-VC Malaysia. In: Korea Institute of Environmental Science and Technology and APEC-VC Japan. Seeking practical way for exchange of environmental technology information in the APEC-VC Region based on the APE-VC network. APEC Virtual Center Seoul Workshop. Seoul, Korea.
MOSTI (2007). MASTIC Link. https://krste.mastic.gov.my/
Pardo, T.A., Cresswell, A.M., Thomson, F. and J. Zhang(2006). Knowledge Sharing In Cross-boundry Information System Development in the Public Sector. Information Technology Management, 7: 293-313.
Pieterse, J. (2005). Data Ownership. http:www.ittoolbox.com(29 May 2007).
Scofield, M. (1998). Issues of Data Ownership. DM Review Magazine. http://www.DMreview.com/toc.cfm?issueid= 1354 (29 May 2007).
US EPA (2003). Challenges and Data Gap. Technical Document EPA’s Draft Report on Environment 2003. http:/
/www.epa.govEnvindicatorsroepdftdWater2-6.pdf.pdf (7 July 2007).
Wikimedia Foundation Institute. (2007). Data Quality. http:// www.wikipedia.org/wiki/data_quality (29 May 2007).