Common use of Project Goals Clause in Contracts

Project Goals. Tracking progress. The statewide parcel layer is built in an iterative fashion. V5 will continue to track progress made with investments to local governments, specifically on benchmarks for parcel dataset development instituted with the 2016 WLIP grant application and continued in the 2017 and 2018 grant applications. • Incremental improvement. Improvement of the statewide parcel layer itself, as well as workflow and methods for each step in the aggregation process, with each new version of the layer. As with the database, the hosting and display should keep pace with current technology and be continually improved to meet users’ needs. Intake and aggregation process should become more efficient with time, facilitating other improvements and/or opportunities for value-added products. • Four A’s – Authoritative Automated Asynchronous Aggregation. A long-term goal is to achieve these “four A’s” so county data stewards can submit datasets at any time or interval by automatically merging the local data with the most current statewide database. The objective for this project is to move toward a more efficient, automated process for data aggregation which would require fewer state resources be dedicated to the aggregation process and thereby reduce state costs for sustaining the statewide digital parcel map. • Moving to a contributor model of aggregation. A long-term goal is to move toward a more efficient, automated process for data aggregation (the end of a continuum where the locus of standardization labor is on the data contributors, known as a “contributor model”), rather than an aggregator model requires which requires more state resources be dedicated to the aggregation process. The contributor model should require fewer staff resources and thereby reduce state costs for sustaining the statewide digital parcel map. • Outreach and technical assistance to counties. This may take the form of further development of existing technical tools or the creation of new tools for counties and municipalities to use. It could also involve site visits and direct assistance. • Lean government principles. The V5 Project should seek to create and realize efficiencies in general, eliminate waste, and integrate or collaborate with other state GIS services where possible. • Responsiveness to public needs and economic development goals. Evaluate parcel layer user suggestions and implement improvements where feasible.

Project Goals. Tracking progress. The statewide parcel layer is built in an iterative fashion. V5 V7 will continue to track the progress made with investments to local governments, specifically on benchmarks for parcel dataset development instituted with the 2016 WLIP grant application and continued in the 2017 2017, 2018, 2019, and 2018 2020 grant applications. • Incremental and continuous improvement. Improvement of the statewide parcel layer itself, as well as the workflow and methods for each step in the aggregation process, with each new version of the layer. As with the database, the hosting and display should keep pace with current technology and be continually improved to meet users’ needs. Intake and aggregation process should become more efficient with time, facilitating other improvements and/or opportunities for value-added products. • Four A’s – Authoritative Automated Asynchronous Aggregation. A long-term goal is to achieve these the “four Four A’s” so county data stewards can submit datasets at any time or interval by automatically merging the local data with the most current statewide database. The objective for this project is to move toward a more efficient, automated process for data aggregation which where the locus of standardization labor is on the data contributors rather than the aggregator. Such a process would require fewer state resources be dedicated to the aggregation process and thereby reduce state costs for sustaining the statewide digital parcel map. • Moving to a contributor model of aggregation. A long-term goal is to move toward a more efficient, automated process for data aggregation (the end of a continuum where the locus of standardization labor is on the data contributors, known as a “contributor model”), rather than an aggregator model requires which requires more state resources be dedicated to the aggregation process. The contributor model should require fewer staff resources and thereby reduce state costs for sustaining the statewide digital parcel map. • Outreach and technical assistance to counties. This may take the form of further development of existing technical tools or the creation of new tools for counties and municipalities to use. It could also involve virtual or site visits and direct assistance. • Lean government principlesprinciples and efficiency. The V5 V7 Project should seek to create and realize efficiencies in general, eliminate waste, and integrate or collaborate with other state GIS services where possible. • Responsiveness to public needs and economic development goals. Evaluate parcel layer user suggestions and implement improvements where feasible.

Project Goals. Tracking Meet statutory objectives and track progress. The statewide parcel layer is built in an iterative fashion. V5 V10 will continue to track the progress made with investments to local governments, specifically on benchmarks for parcel dataset development instituted with development. A goal is to design an appropriate monitoring and evaluation framework to evaluate progress on the 2016 WLIP grant application four benchmarks for parcel data: ◾ Benchmark 1 – Parcel and continued in the 2017 Zoning Data Submission ◾ Benchmark 2 – Extended Parcel Attribute Set Submission ◾ Benchmark 3 – Completion of County Parcel Fabric ◾ Benchmark 4 – Completion and 2018 grant applications. Integration of PLSS • Incremental and continuous improvement. Improvement of the statewide parcel layer itself, as well as the workflow and methods for each step in the aggregation process, with each new version of the layer. Exploration of areas for improvement should be based on research. As with the database, the hosting and display should keep pace with current technology and be continually improved to meet users’ needs. Intake and aggregation process should be replicable and become more efficient with time, facilitating other improvements and/or opportunities for value-added products. • Four A’s – Authoritative Automated Asynchronous Aggregation. A long-term goal is to achieve these “four A’s” so county data stewards can submit datasets at any time or interval by automatically merging the local data with the most current statewide database. The objective for this project is to move toward a more efficient, automated process for data aggregation which would require fewer state resources be dedicated to the aggregation process and thereby reduce state costs for sustaining the statewide digital parcel map. • Moving to a contributor model of aggregation. A long-term goal is to move toward a more efficient, automated process for data aggregation (the end of a continuum where the locus of standardization labor is on the data contributors, known as a “contributor model”), rather than an aggregator model requires which requires more state resources be dedicated to the aggregation process. The contributor model should require fewer staff resources and thereby reduce state costs for sustaining the statewide digital parcel map. • Outreach and technical assistance to counties. This may take the form of further development of existing technical tools or the creation of new tools for counties and municipalities to use. It could also involve virtual or site visits and direct assistance. • Lean government principlesprinciples and efficiency. The V5 V10 Project should seek to create and realize efficiencies in general, eliminate waste, and integrate or collaborate with other state GIS services where possible. An objective for this project is to move toward a more efficient, automated process for data aggregation where the locus of standardization labor is on the data contributors rather than the aggregator. Such a process would require fewer state resources be dedicated to the aggregation process and thereby reduce state costs for sustaining the statewide digital parcel map. • Responsiveness to public needs and economic development goals. Evaluate parcel layer user suggestions and implement improvements where feasible.

Project Goals. Tracking Meet statutory objectives and track progress. The statewide parcel layer is built in an iterative fashion. V5 V11 will continue to track the progress made with investments to local governments, specifically on benchmarks for parcel dataset development instituted with development. A goal is to design an appropriate monitoring and evaluation framework to evaluate progress on the 2016 WLIP grant application four benchmarks for parcel data: ◾ Benchmark 1 – Parcel and continued in the 2017 Zoning Data Submission ◾ Benchmark 2 – Extended Parcel Attribute Set Submission ◾ Benchmark 3 – Completion of County Parcel Fabric ◾ Benchmark 4 – Completion and 2018 grant applications. Integration of PLSS • Incremental and continuous improvement. Improvement of the statewide parcel layer itself, as well as the workflow and methods for each step in the aggregation process, with each new version of the layer. Exploration of areas for improvement should be based on research. As with the database, the hosting and display should keep pace with current technology and be continually improved to meet users’ needs. Intake and aggregation process should be replicable and become more efficient with time, facilitating other improvements and/or opportunities for value-added products. • Four A’s – Authoritative Automated Asynchronous Aggregation. A long-term goal is to achieve these “four A’s” so county data stewards can submit datasets at any time or interval by automatically merging the local data with the most current statewide database. The objective for this project is to move toward a more efficient, automated process for data aggregation which would require fewer state resources be dedicated to the aggregation process and thereby reduce state costs for sustaining the statewide digital parcel map. • Moving to a contributor model of aggregation. A long-term goal is to move toward a more efficient, automated process for data aggregation (the end of a continuum where the locus of standardization labor is on the data contributors, known as a “contributor model”), rather than an aggregator model requires which requires more state resources be dedicated to the aggregation process. The contributor model should require fewer staff resources and thereby reduce state costs for sustaining the statewide digital parcel map. • Outreach and technical assistance to counties. This may take the form of further development of existing technical tools or the creation of new tools for counties and municipalities to use. It could also involve virtual or site visits and direct assistance. • Lean government principlesprinciples and efficiency. The V5 V11 Project should seek to create and realize efficiencies in general, eliminate waste, and integrate or collaborate with other state GIS services where possible. An objective for this project is to move toward a more efficient, automated process for data aggregation where the locus of standardization labor is on the data contributors rather than the aggregator. Such a process would require fewer state resources be dedicated to the aggregation process and thereby reduce state costs for sustaining the statewide digital parcel map. • Responsiveness to public needs and economic development goals. Evaluate parcel layer user suggestions and implement improvements where feasible.