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Doria Tai Yun Tyng Principal Assistant Director Geospatial Development and Management Section Lands and Surveys.

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Presentation on theme: "Doria Tai Yun Tyng Principal Assistant Director Geospatial Development and Management Section Lands and Surveys."— Presentation transcript:

1 Doria Tai Yun Tyng Principal Assistant Director Geospatial Development and Management Section Lands and Surveys Department Sabah Malaysia Geospatial Forum 2012 Spatial Data InfrastructureFor E-Governanace Holiday Inn Melaka 6-7 March 2012

2   Background  Sabah SDI Components  RIAM Analysis  Conclusion Key Topics

3  Background

4   Sabah SDI  State Remote Sensing Committee (SRSC) formed in 1990  SRSC revamped as Sabah Geographic Data Coordination Working Committee (SGDC) in 1998  SGDC is under Sabah IT Council  Implemented SDI Project via MyGDI Sabah in 1998 Background

5 5 Structure of SGDC Sabah IT Council Chair : Chief Minister of Sabah SGDC Working Committee Chair : State Secretary of Sabah SGDC Technical Committee Chair : Director of Lands & Surveys Data Infostructure Work Group Chair : Director of Lands & Surveys Framework Deploment Work Group Chair : Permanent Secretary of IT Data Commercialisation Work Group Chair : Permanent Secretary of Finance

6 6 1.Lands and Surveys Department 2.Kota Kinabalu City Hall 3.Agricullture Department 4.Forestry Department 5.Public Works Department 6.Fishery Department 7.Drainage and Irrigation Department 8.Town & Regional Planning Department 9.Mineral & Geoscience Department 10.Statistics Department Agencies chosen for NaLIS Pilot Project in 1999 Agencies joined since 2008 as MyGDI Sabah Agencies 1.Sandakan Town Council 2.Water Department 3.Industrial Research & Development Department 4.Environment Protection Department 5.Sabah Parks 6.Sabah Topo and Mapping Department

7 7 ODBC ODBC OpenGIS Standard Dewan Bandaraya Kota Kinabalu Assessment Property-based Tax Land Use Soil Capability Jabatan Pertanian An Overview Forest Jabatan Perhutanan SALIS Jabatan Tanah dan Ukur Jabatan Kerja Raya Road Network Geology Jabatan Mineral & Geosains Jabatan Perancang Bandar dan Wilayah Planning Jabatan Perairan dan Saliran Coastal Profile Rivers Jabatan Perangkaan Statistics MyGDIClient Sabah.NetAdministrator Sabah.Net Sabah.NetClient Internet MyGDI Gateway (NRE) Fishery Jabatan Perikanan Virtual Natural Resource Environmental Data Repository MPS Assessment Housing Sabah Parks Parks facility Conservations Water Department Water Supply Network EPD Environment Conservation DIDR Industry Planning Factories

8 8 Spatial Data Infrastructure for Sabah - The Vision Towards a holistic and sustainable geo-information infrastructureas thecatalystto elevate the quality of life Towards a holistic and sustainable geo-information infrastructure as the catalyst to elevate the quality of life

9 9 Spatial Data Infrastructure for Sabah - SGDC Mission Statement Framework Data Sets, Metadata, Data Standards, Clearinghouse operations adopting a product-based approach 1.in developing the Framework Data Sets, Metadata, Data Standards, Clearinghouse operations as well as the Institutional Framework by adopting a product-based approach; intensify data developmentbuild-up comprehensive geospatial data sets capacitybuilding maintain currency 2.To intensify data development to build-up comprehensive geospatial data sets as well as capacity building to maintain currency of the same; develop a sustainable geo-spatial infostructure viacontinuous collaborative activities To develop a sustainable geo-spatial infostructure to facilitate Spatial Data Infrastructure (SDI) implementation for the State of Sabah via continuous collaborative activities:

10 10 promote and expedite thesharing, exchange, dissemination and use enabling geo-information for making informed decisions 3.to promote and expedite the sharing, exchange, dissemination and use of spatial information, enabling geo-information for making informed decisions; homogeneous development instilling and educate the significance of SDIsustainable natural resource and environment management 4.for homogeneous development of Spatial Data Infrastructure (SDI) for Sabah through instilling and educate the significance of SDI for sustainable natural resource and environment management. develop a sustainable geo-spatial infostructure viacontinuous collaborative activities To develop a sustainable geo-spatial infostructure to facilitate Spatial Data Infrastructure (GDI) implementation for the State of Sabah via continuous collaborative activities: Spatial Data Infrastructure for Sabah - SGDC Mission Statement

11  Sabah SDI Components

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13 13 1)Framework Data sets makeinformed decision 1)Framework Data sets provide information for analysis to make informed decision. 2)Standardsuniformity in data structure/coding ALL USERS 2)Standards ensure the uniformity in data structure/coding to allow data accessed and used easily by ALL USERS. 3)Metadata “history” of particular spatial data set 3)Metadata simply means data about data, which defines the “history” of particular spatial data set. 1)Clearinghousecommon portalpoint of access who is the owner 1)Clearinghouse is the common portal OR point of access to spatial information available, regardless of “who is the owner”. 2)Institutional Framework“policies to govern” sharingpricingtransferusage protection to custodians 2)Institutional Framework concerns “policies to govern” the sharing, pricing, transfer and usage of spatial data, protection to custodians including data security, copyrights and liability of data usage, access over internet and so forth. Components of Sabah SDI

14 14 6)People and Cultureability to enlist all stakeholders to utilise the infrastructurepolitical supportbusinessobjective in SDI developmentfunding degree of sharingculture 6)People and Culture emphasise on the ability to enlist all stakeholders to utilise the infrastructure which includes the extent of political support, the clarity of the business objective in SDI development, the continuous funding support, the degree of sharing within the context of culture of the community it serves. heartbeat a.People is liken to the heartbeat of the SDI implementation b.major deciding factorsuccessful b.major deciding factor on the successful implementation of SDI Components of Sabah SDI

15  Rapid Impact Assessment Matrix (RIAM)

16  RIAM RIAM provides a basis of comparison of the impacts across all environments. RIAM RIAM was developed Mr Christopher Pastakia when he worked with "VKI, the Danish Water Quality Institute“. The concept of RIAM was developed by him in the late 1980's to demonstrate the degree of change impacting the various environments.

17  RIAM Th e RIAM criteria are placed in two groups: Group A Criteria that are of importance to the condition that can individually change the score obtained Group B Criteria that are of value to the situation that should not be capable of individually changing the score obtained

18  RIAM The RIAM criteria are: A1. Importance of the condition (the spatial aspects of change) A2. Magnitude of change/effect (the size/scale of change) B1. Permanence B2. Reversibility B3. Cumulation

19  RIAM The RIAM criteria are assessed using the formulae: (A1) x (A2) = At (B1)+(B2)+(B3) = Bt (At) x (Bt) = S core The scores are then converted into range bands that define the impact condition.

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21  RIAM Components Considerations Physical / Chemical (PC) Minimum damage to PC sphere of earth Biological / Ecological (BE) Minimise damage to BE Sustainable Development Sociological / Cultural (SC) Improve yield, income & living Economic / Operational (EO) Ensure sufficient funding Ensure improved income Impact Information List

22  Economic / Operational (EO) Components Selected  Change In Cost to develop Framework Data  Change in Cost to maintain Framework Data  Change In Cost to carry Data Analysis  Change In Cost to build Infrastructure  Change In Cost to build Data Center  Change In Cost to maintain Data Center  Change In Cost In Avoiding Duplication  Change In Cost to Government to carry out standards  Change In Cost to Private Companies to comply with standards  Change in Income of Geospatial Personels

23  Sociological / Cultural (SC) Components Selected  Change in Mindset to Data Sharing  Change in Mindset to avoid Data Duplication  Change in Capacity to process Geospatial Analysis

24  Biological / Ecological (BE) Components Selected  Change in Carbon emission from Data Center

25  RIAM Scores ProjectSDI ComponentsCode Option/ No: Policy Env.RangeOpt.Graph ComponentsRIAM Criteria ScoresScoreValueNameValue CodeDescriptionA1A2B1B2B3ESRV E/O1Change In Cost to develop Framework Data EE/O 1-5 E/O2Change in Cost to maintain Framework Data DE/O 2-4 E/O3Change In Cost to carry Data Analaysis BE/O 3-2 E/O4Change In Cost to build Infrastructure EE/O 4-5 E/O5Change In Cost to build Data Center DE/O 5-4 E/O6Change In Cost to maintain Data Center DE/O 6-4 E/O7Change In Cost In Avoiding Duplication DE/O 74 E/O8 Change In Cost to Government to carry out standards CE/O 8-3 E/O9 Change In Cost to Private Companies to comply wtith standards BB/E 1-2 E/O10Change in Income of Geospatial Personnels BE/O 102 S/C1Change in Mindset to Data Sharing CS/C 13 S/C2Change in Mindset to avoid Data Duplication BS/C 22 S/C3 Change in Capacity to process Geospatial Analysis BS/C 32 B/E1 Change in Carbon emmission from Data Center BB/E 1-2

26 RIAM Criteria Scores A1A2B1B2B3 Fedearal & State government to provide funding Investement more than Hundreds of Millions Investment is permanentExpenditure is not irrevisible Synergistic in nature Fedearal & State government to provide funding Continuous maintenance cost about Tens of Thousands Expenditure is permanentExpenditure is not irrevisible Synergistic in nature Individual Agency providing the fund Continuous Incidental cost about Tens of Thousands Expenditure is permanentExpenditure is not irrevisible Synergistic in nature Fedearal & State government to provide funding Investement more than Hundreds of Millions Investment is permanentExpenditure is not irrevisible Synergistic in nature Fedearal & State government to provide funding Investement more than Tens of Thousands Investment is permanentExpenditure is not irrevisible Synergistic in nature Fedearal & State government to provide funding Continuous Incidental cost about Tens of Thousands Expenditure is permanentExpenditure is not irrevisible Synergistic in nature Fedearal & State government to provide funding Savings of MillionsExpenditure is permanentMay be reversedSynergistic in nature Fedearal & State government to provide funding Cost to carry out promotion Expenditure is permanentMay be reversedSynergistic in nature Individual Agency providing the fund Continuous Incidental cost about Tens of Thousands Expenditure is permanentMay be reversedSynergistic in nature Individual Agency providing the fund Improvement of Income of RM3000 each Income is permanentMay be reversedSynergistic in nature Personnels within individual agency Positive outlook on Data Sharing Mindset change is permanent May be reversedSynergistic in nature Personnels within individual agency Minimise duplication costing Mindset change is permanent May be reversedSynergistic in nature Personnels within individual agency Improvement of capacity to process analysis Capacity building is permanent May be reversedSynergistic in nature Personnels within individual agency Slight Carbon Emission due to servers' heat Carbon is temporaryMay be reversedSynergistic in nature RIAM Comments

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29  Save Cost from Avoiding Duplication Data Sharing Culture

30  Conclusion

31   RIAM Analysis shows that the SDI components :-  Require Capital Investment from Federal & State governments  Require Continuous Maintenance & Compliance from the agencies  The benefits as a ROI (Return of Investment) shows savings from data duplication avoidance  The increase of data sharing culture  The increase of income from SDI activities (private sector) Conclusion

32   If we were to use 7 words to explain SDI through RIAM results :-  Investment of SDI brings ROI to government and private sectors in the areas of Saving, Sharing and improve Decision Making by using Spatial Data. Conclusion

33   RIAM Analysis can be used as a analysis tool to demonstrate the details to the government in soliciting support and funding.  With more information and details, the RIAM analysis could be re-visited / enhanced and show greater details in the results / scenarios. Conclusion

34  Thank You !


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