1Land Initiative Working Group

Manitoba Land Initiative

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Office of Information Technology

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The Working Group Formed four months ago

OIT lead

Cross departmental

Cross functional

Conservation,

Land Titles Offices,

Agriculture and Food,

Intergovernmental Affairs,

Industry, Trade and Mines,

Land Management Services,

Highways and Government Services,

Culture, Heritage and Tourism (indirectly)

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to develop and recommend a government wide framework for the management of land-related information

what did we do... put knowledge together reviewed existing systems examined best practices and models from other

organizations defined and discussed our issues defined our common vision - the Manitoba Land Initiative,

its goals and framework proposed an initial set of recommendations

mandate

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Geographic Information Systems (GIS) the business of collecting, storing and displaying

geographical information rapidly growing IT segment (twice of the average

growth rate of the US economy) expected to be a key component of the national and

global information highways of the 21st century cost/benefit ratio: 1:4 benefits in economic activities

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Integrated approach to land management …

Governments around the world are building land information frameworks to avoid duplication of effort and information

The trend - to provide integrated land related information to decision-makers to support cross-government initiatives

3 basic requirements: ability to integrate information readily accessible and reliable data minimal effort to access

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benefits of integrated approach… Raising the profile of land related systems Integrated and on-line access to land data Improvements in data currency Timely and improved decision making Raising business cooperation between departments Providing the basis for electronic transactions Access to sophisticated systems for smaller departments cost savings:

Reduced costs of exporting, copying, loading, and updating data Greater efficiencies with professional staff working together More efficient use of hardware resources

government will spend public money more

wisely, getting more value for it

ultimate result

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Our situation...

Tremendous investment in GIS

Data collection

Each department is at a different point of GIS implementation cycle

GIS hardware and software - 80% standardized

Barriers not technical but institutional

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meaning...data must flow data must be consistent, standardized, widely known about and collected only once

To ensure the most efficient use of our land data, we need:

to systematically manage what we knowgeospatial info that correlates human concerns with

spatial issuesa common vision, application of universal standards

and a more integrated approach to land management

Our goals...

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Manitoba Land Initiative A program to develop, manage and maintain a land information framework necessary to harmonize and share government's geospatial databases, and make them available on the Intranet.

Manitoba Land Initiative framework

Partners StandardsLand Data Access

To provide integrated land information to every desktop in the government for planning and operational decision making without having to interact with a GIS specialist or a Data Analyst

Ultimate goal

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Partners

All provincial departments and agencies involved in management of land related information

MB Hydro

municipal and federal governments

private sector and academia participants

out of scope for this review

but important and necessary future participants in developing a province-wide land information environment

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Access

An inventory of all land related data managed by the Provincial Government (metadata catalogue)

A central database (some data centrally stored, some locally)

Intranet data sharing = web page

Each department custodian and responsible for maintenance and quality control of its own data

All releasable data - corporate asset

“Collect once, closest to source and use many times”

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Inventory - Metadata Catalogue To find needed data + determine how best to use it It captures:

who has been collecting what information to what standards using what procedures

Metadata standards - allow for exchange of collected information about data between different partners (municipal, federal, provincial)

All land data in the Government to be described in the catalogue (6 months - 1 year)

Data providers (custodian departments) to be responsible for managing and maintaining the metadata about their products

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MB Government Intranet

Manitoba Land Initiative

Conservation

Hwys & GS

Intergov.Affairs

IT&M

Core Datatopologycadastralortographyland usetransportation……..

Metadata catalogueLand related knowledge

- best practices- departmental projects- experts

Different applica-

tions

DATABASE … controlled electronic exchange of land related information, regardless of location,

technology, and managing organization...

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Future...

Manitoba Land InitiativeCore Data

topologycadastralortographyland usetransportation……..

Metadata catalogueLand related knowledge

- best practices- departmental projects- experts

INTERNETpublic access

STOREFRONT

INTRANET

pricing distribution

licenses copyright requirements

FIPPA

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Land Data… Base Mapping - primary levels:

Topography (1:20K, 1:50K,1:1M) Orthography Quarter Section Grid Cadastral

Land Ownership & Interest: PIN ( Polygon Identification Number) - Unique parcel identifier Comprehensive Cadastral Layer (location, owners, interests,

and value)

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Comprehensive Cadastral Layer (location, owners, interests, and value) NR- cadastral parcel mapping info No ownership or value information in GIS Cadastral data is constantly changing (update within

hours/minutes) Responsibility for maintenance spread among a

number of departments: Crown Lands Registry (NR), Agriculture Crown Land (Agriculture), LTO (CCA), LMS (GS), Assessment Branch (RD)

Need for Implementation of development and maintenance of GIS mapping of ownership and assessed values

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Benefits... Key to integration of land data Without corporate approach each department would be

required to do it alone Consistent, high quality data in a single view

promote use among non-governmental stakeholders (easier to supply)

lead to a standard for spatial data in MB open new revenue opportunities for government

Issues... More complex than a layer owned by one department Likely one of the most expensive and resource intensive

activities FIPPA issues when sharing ownership info

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Suggested strategy...

Catalogue first (cadastral data exists for many communities in MB)

Identify the most efficient way of consolidation, development and maintenance of cadastral layer across all departments and agencies involved

Estimate cost and resource

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Summary - Incremental Approach No costing for program implementation has been considered Data sharing: integration and exchange of existing

information Database: OIT would supply the central hardware and web

design requirements Direct and active involvement of all - human resource

commitments from all affected departments Some of the recommendations will result in additional

workload that departments may not be able to handle without added resource - the next phase

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Summary - Recommendations

ALL DATA - CORPORATE ASSETPARTICIPATION OF ALLCUSTODIAN DEPARTMENTS RESPONSIBLE FOR MAINTENANCEACKNOWLEDGE DIFFERING NEEDS

LIWG to manage MLITECHNICAL SUBGROUPS

PARTNERSHIPMB HYDRO

MUNICIPAL & FEDERAL GOVPARTICIPATION AND MONITORING

•WEBPAGE•PILOT (Mines +IJC)

•CORE DATA

DATABASE (Short term)

•PIN•COMPLETE INVENTORY

•IDENTIFY THE BEST APPROACH

CADASTRAL LAYER

•METADA CATALOGUE•IMPLEMENT STANDARDS

•ACCURACY AND COMPATIBILITY OF ALL

LAYERS - PRIMARY LEVELS

INVENTORY (Medium term)

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Key success factors:A clear understanding of a common vision Keeping the vision dynamic and non-technical

Data sharing has to be built upon mutual benefits and trust should not disrupt existing processes, but build on them (using the existing

technology)

A clear understanding of the key business requirements - cross business program teamwork

Active involvement of all

A continuous learning process based on consensus and incremental implementations

Creating an environment to encourage experts to be innovative, keep it interesting

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LandData BC (started 10 years ago)

objective to build an infrastructure which permits the exchange of land related information, regardless of location, technology, and managing organization

Land Data BC set standards manages the land-related information and provides selected land information for the users.

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Land Information Ontario (LIO) (implementation plan 1998-2000)

The Office of Land Information Ontario (OLIO) established to manage this initiative & A number of focused Working Groups

Data Themes priority areas Land parcel administration ( Ontario Parcel) Natural resource and environmental data themes

Access Infrastructure (all will) Develop tools and standards for “metadata” Develop a metadata on the Internet Design and development of a prototype “ Data

Clearinghouse”

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SaskGIS (started 15 years ago, completition in 1999)

Committees and working groups from all user groups throughout the province

distributed network of independent but compatible GIS and LIS

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Crown corporation Responsible for:

land titles system integrated provincial

survey mapping and GIS Land Title Automated

Network Development Project (LAND)

Sask. Land Info Services (October 1999)

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Nova Scotia: "GeoNova”

Corporate management to support data

sharing and reduction of duplication.

The Department of Housing and Municipal Affairs coordinates the activities is responsible for the data standards sell the data to users outside the government responsible for negotiating any agreements

In 1998: Personal Property Registry System and Property Records Database on the Internet.

all data - a corporate asset free exchanges mandatory participation custodianship and maintenance

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Australia and New Zealand Land Info Council “ANZLIC” (Formed in 1986)

four core components: institutional framework

standards

fundamental datasets

clearinghouse network (Spatial Data Directory) launched in1998, accessible over the Internet)

If the existing infrastructure had not been in place costs to users would have been six times higher ($5 billion) (The Price Waterhouse Benefit Study)

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USA: National Spatial Data

Infrastructure (NSDI) (1994)

The technology, policies, standards and human resources necessary to acquire, process, store, distribute, and improve the use of geospatial data

Canadian Geospatial Data Infrastructure (CGDI)

European Spatial Data Infrastructure (ESDI) (1993)