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Conclusions and Challenges for Session 6.4.1 Data Needs and Data Acquisition

Conclusions and Challenges for Session 6.4.1 Data Needs and Data Acquisition What data should we put in the treasure chest? Convener : Arthur Askew Chair : Gordon Young Rapporteur : Hafzullah Aksoy 21 March 2009 . Contributors. Mr Ünal Sorman ( Middle East Technical University, Turkey)

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Conclusions and Challenges for Session 6.4.1 Data Needs and Data Acquisition

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  1. Conclusions and Challenges for Session 6.4.1 Data Needs and Data Acquisition What data should we put in the treasure chest? Convener : Arthur Askew Chair: Gordon Young Rapporteur : Hafzullah Aksoy 21 March 2009

  2. Contributors • Mr Ünal Sorman (Middle East Technical University,Turkey) • Mr Basanta Shrestha (International Centre for Integrated Mountain Development, Nepal) • Mr Martin Schinnerl (Ott Messtechnik GmbH & Co, Germany) • Mr Ian Cluckie (Swansea University, UK) • Mr Pradeep Aggarwal (International Atomic Energy Agency, Austria) • Ms Sara Ahmed (Gender and Water Alliance, India) • Mr WilhelmStruckmeier (International Association of Hydrogeologists, Germany) • MrStéphaneSimonet (World Water Council, France) • Mr Paul West (The Nature Conservancy & University of Wisconsin, USA) • MrLeHuu Ti (UN Economic and Social Commission for Asia and the Pacific, Thailand)

  3. (1) Aim • Our aim is to improve the lives and livelihoods of people. • For this aim, we must manage our resources well. • To manage the resources well, we must understand the systems concerned. • To understand the systems, we need information based on data.

  4. (2) Recognition of essential nature of the need for data • Collection of data – gathering information together • Data collection is an essential component of Integrated Water Resources Management (IWRM) • Essential because all the rest depends on it. • Therefore; programmes for the collection of data should be • Clearly specified • Well designed • Adequately funded • Give recognition to the data suppliers and feed-back to them

  5. (3) Inclusion of a wide range of types of data • Many interacting systems involved on which we need information. • Geophysical, socio-economic, administrative, legal, etc. • As wide a range of data as possible • – no – as required • The wider the range, the more complicated the data collection process

  6. (4) Development of new data collection methods • Encourage the further development of means to collect data and information • Redesign data application procedures to make most effective use of new data sources. • Be selective in extracting the data needed from large data output e.g. from some satellites.

  7. (5) Detailed aspects • Demand-driven data NOT supply-driven data • Usually need long-term data records • More data is not always better • The scale issue • Disaggregation of data • Spatial disaggregation by province, river basin, etc. • Temporal disaggregation • Disaggregation by age, gender, etc. • Need representative data and information • Be aware of inaccuracies in data • Standardization • - by regulation • - voluntary

  8. (6) Challenges • to collect data relevant to local problems • data loss • duplicate systems and lack of data – metadata issue • the inverted pyramid supported by ever weakening national efforts

  9. Thank you

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