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Session 3.1 : Introduction to the geospatial data management cycle

Session 3.1 : Introduction to the geospatial data management cycle. Key terms used in this session. Data: Facts and statistics collected for reference or analysis Information : Facts provided or learned about something or someone

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Session 3.1 : Introduction to the geospatial data management cycle

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  1. Session 3.1: Introduction to the geospatial data management cycle

  2. Key terms used in this session Data: Facts and statistics collected for reference or analysis Information:Facts provided or learned about something or someone Geospatial data or information: Data or information that has a geographic component to it. Data Management: all the disciplines related to managing data as a valuable resource. This covers, but is not limited to: data collection, cleaning, validation, documentation as well as the generation of data products (graphs, tables and maps) Data Manager: Professional in charge of the development and execution of architectures, policies, practices, and procedures that properly manage the full data lifecycle needs of an enterprise

  3. The importance of data and information in Public health Solving problems related to public health priorities requires making important decisions supported by data products (tables, graphs, maps). To be able to generate these data products, data and information are needed. Publih Health problems solutions Data Data products

  4. The data-information-knowledge-decision continuum • Thedata-information-knowledge-decision continuum illustrates the process used in solving public health problems. It emphasizes the need for data to solve public health problems. http://www.healthgeolab.net/DOCUMENTS/Guide_HGLC_Part1.pdf

  5. The Geographic Approach The geographic approach supports the data-information-knowledge continuum Step 1: Ask What is the problem to solve or analyze, where is it located? Step 2: Acquire What data are needed to complete the analysis, where can it be found or generated? Step 3: Examine Visual inspection of data, how is it organized (schema), how does it correspond to other data and physical world (topology), where is it from (metadata). Step 4: Analyze Way data processed and analysed depends on results wanted. Step 5: Act Presentation of results part of the decision making process. Via reports, maps, tables, and charts; printed/digitally – network/web.

  6. The importance of good quality data However, the data and information needed to solve public health problems cannot be just any data, they must be good quality data to be able to generate good quality data products. Garbage in – Garbage out !

  7. Generating and maintaining good quality geospatial data Generating and maintaining good quality geospatial data and generating data products (tables, graphs, and maps) require proper data management standards, processes, and protocols to be defined and implemented. The geospatial data management cycle provides the steps needed to ensure that proper data management standards, processes, and protocols are defined and implemented.

  8. The geospatial data management cycle The geospatial data management cycle defines how to properly acquire the data and information needed to create the data products. Geospatial data management cycle http://www.healthgeolab.net/DOCUMENTS/Guide_HGLC_Part1.pdf

  9. Good geospatial data management Changes in a district in Uganda Source 1 Source 2 Source 1 Source 3 Time

  10. 56 meters • Good geospatial data management Part of good geospatial data management is defining and following standards and protocols. Failure to do so can result in misleading and confusing data. Difference in data collection protocols

  11. The Health GeoLab guidance documents The Health GeoLab Collaborative has created a series of documents that describes the geospatial data management cycle and provides guidance on how to implement each of the steps in the cycle.

  12. The Health GeoLab guidance documents • Part 1 - Introduction to the data-information-knowledge-decision continuum and the geospatial data management cycle • Part 2 - Implementing the geospatial data management cycle: • 2.1 Documenting the process and defining the data needs • 2.2 Defining the vocabulary, the data set specifications, and the ground reference • 2.3 Compiling existing data and identifying gaps • 2.4 Creating geospatial data • 2.4.1 Extracting data from other sources • 2.4.2 Collecting data in the field

  13. The Health GeoLab guidance documents • 2.5 Cleaning, validating, and documenting the data • 2.5.1 Documenting the data using a metadata profile • 2.5.2 Using advanced Microsoft Excel functions • 2.6 Distributing, using, and updating the data. • 2.6.1 Creating good thematic maps using desktop GIS software Audience: Any practitioners directly or indirectly involved in the collection and use of geospatial data in health Freely accessible from: https://healthgeolab.net/resources/reference-materials/

  14. Implementing the Geospatial Data Management Cycle How do you implement the steps in the geospatial data management cycle? The rest of Module 3 discusses how each step of the cycle should be implemented.

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