Bangladesh Water Supply and Sanitation Open data Monitoring Platform

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1 Bangladesh Water Supply and Sanitation Open data Monitoring Platform Inception Report Based on the first mission discussion April 2013 C Sunil Kumar Project Manager Emil Saghatelyan

2 TABLE OF CONTENTS 1. Introduction Background Objective Synergy mission to Dhaka Data Framework Methodology Ground level data collection Open data monitoring prototypes Exporting Maps to PDF, MS Word and MS Excel Displaying Data sets on the Map Viewing Maps based on Time series Data Introducing the Reference Features of the Map Module View map data as data templates Central data uploading system Way forward Conclusion Page:2

3 1. Introduction Synergy International conducted a technical mission from 17 th to 25 th March 2013 within the scope of the contract WSS LCG - Open data monitoring system for Bangladesh - No to provide technical/consulting services for WSP Bangladesh in the development of WSP Open data Monitoring platform. The scope of mission was to have a first level discussion to carry out activities related to the collection and compilation of data to develop a WSS sector monitoring platform. This will comprise of an open data platform enabling a range of options for drilling down to understand the nuances of sector performance. This open data platform shall enable new applications to be developed and uploaded to monitor the performance of the water supply and sanitation sector. 2. Background WSS Open data monitoring platform is initiated by WSP under the direction of Policy Support Unit (PSU) of LGD Bangladesh. PSU is responsible for looking after the functioning of the Sector Development Plan (SDP) implementation as well as the institutional and financial issues. It also looks after coordination with the government agencies, the NGOs and the private sector and the functioning of the Sector Information System (SIS) and LCG (Local Consultative Group) of WSS (Water Supply & Sanitation). The WSS Working Group of the LCG is the government- development partner joint platform to coordinate with the two committees. The main challenge facing by LCG is the lack of a comprehensive and real-time open-data coordination mechanism for its joint operations with other WSS stakeholders. There are many organisations (both development, National/International NGO s, Government bodies, Other organisations) working in Bangladesh on WSS sector. These organisations are operating in a rigid mechanism so that sharing of information and data is not taking place. As a result, more than one organization may work in the same area/location on the same activities. This makes the Government and policy makers difficult to coordinate the activities and hence the results of the interventions may not be monitored. This puts a tremendous burden on Government, policy-makers and implementers, who require up-to-date results data and analytics on the country s entire portfolio of WSS activities in order to appropriately meet the WSP s goals for Bangladesh. It is in this regard, the Water and Sanitation Program (WSP) has launched the WSS Open Data Monitoring Platform project, with the goal of producing a joint open data monitoring platform capable of coordinating stakeholders and producing reports on WSS activities in Bangladesh. Page:3

4 3. Objective The overall objective of the project is to develop a joint open data monitoring platform to present regular nuanced reports on the status of the WSS sector for GoB and development partners. Since a large volume of data is available with various organisations working in WSS, the main challenge is to bring the data and information to a common platform and level and use this data in a simple and analytical manner for the various decision making/monitoring and planning of WSS sector projects in the country. This supports the GoB and PSU to have a comprehensive systematic approach on the various activities. Since data is existing with various organisations ion different formats and data sets, the key challenge will be to coordinate a data mining mechanism to bring this information in a unified manner. 4. Synergy mission to Dhaka Based on the contract agreement and discussion with Synergy Inc. and WSP, a mission was organized to Dhaka for a first level need analysis and data coordination activities with PSU, key Government organisations in WSS data collection, LCG member organisations and key stakeholders from 17 th to 25 th March The mission was conducted by C Sunil Kumar, Project Manager Synergy Inc. During the Joint LCG Working group meeting on 19 th February, it was decided to establish a draft data set and discuss the scope of using this data set as a startup in establishing the open data platform. In order to have a discussion on the further level of activities, a first level concept note for the LCG WG co-chairs to share with their members will be developed with broader idea of using the data sets, standardization of the data and data visualization. Based on the discussion with WSP and other stake holders during the mission, Synergy International prepared a concept note for the way forward. The concept note will be used a base tool to define the process for establishing the open source database based on the frame work as detailed Collation of the basic data sets with respect to the reporting functions of the respective LCGs Design of the simple analytical visualization options based on the collated datasets Approach on the strategy of collecting data sets from various organisations Data management system and system support 5. Data Framework Open data monitoring platform will be using the data available with organisations in the WSS sector. Since large volume of data is available in various levels and formats, the system will only make use of this data and no additional data will be created. This emphasis the data mining strategy to be Page:4

5 adopted in the project. Hence the baseline of the system development is how to organize the existing data and bring it to a common level and format. The first step to be adopted is to identify the required data sets and identify these data sets into a logical framework so that the open data system can be developed on this frame work. This frame work will be used for the management of data sets and will be basis of future addition and expansion of the system. The following is the schematic structure of framework proposes the management of the available data sets starting from Impact to Point of Use (WSS) to Local Governance to Point of Supply (WSS) to Finance to Environment. This is essentially the interface between the data and the options for the visualization of the data. A data table matrix is prepared on the basis of the above frame work. The matrix is: Sl Data table Data type Indicator Source 1 Impact Household & Expenditure Data Upper + lower HCR WB / WFP Nutrition Stunting Wasting Brac MICS Arsenicosis / Diarrhoea DGHS Mortality IMR MICS Page:5

6 2 WSS Point of Use Hard to Reach Area Mapping for Water Shape WSP Supply & Sanitation files+classification Census Density of WSS BBS Water & sanitation facilities Density of public WSS UNICEF/D PHE National MIS for WSS (NMIS) MIS data PSU Access to water & sanitation services Improved Basic UNICEF/B BS School water & sanitation facilities WSP 3 Local governance Own Revenues: UPs OSR/Cap LGD / WSP Tax/Cap Own Revenues: Municipalities OSR/Cap Tax/Cap Contact Details: UP/pourashava/UPZ LGD Political Status: UP/pourashava/UPZ MAB / WSP Population + Area: UP / Pourashava Population + BBS / WSP LG Boundaries: Ward/UP/poura. Area + Shape files LGED 4 Point of Supply Urban utility Benchmarking data Calculated data ( Water & sanitation facilities eg: Op. ratio / % served) WSS facilities LGD / WSP Project 5 Finance Central government expenditure on WSS BBS LGD Local Government expenditure on WSS LGD Development funds for WSS Project Upazila expenditure on WSS AG 6 Environment Ground water resources Survey BWDB Ground water quality JICA Disaster Risk DMB / IWM Page:6

7 6. Methodology Based on the draft frame work, a methodology is presented on the further way forward: 1. The raw data will be collected from various sources and the collected data will be uploaded to a central location. Since the data comes from various sources, there may not be any standardization or common format. 2. The administrative boundaries are as follows: Union Parishats (UP)->Upzilla->Districts->Divisions->National Since the raw data will be of various types and levels, in order to have a feasible visualization of the data, the lowest acceptable level of data level can be Union Parishats (UP) and the top level is countrywide. Fro is the data segregation level of UP, further aggregation of data can be obtained to other boundary levels and GIS maps are available for this boundaries. Hence data visualization can be designed as per below: 3. The raw data will be verified and the data types will be identified from the tables. There may be many number of data types existing in the data tables. Some of the data types may not be not relevant to the open data platform and hence these data types may be identified and removed Page:7

8 from the data tables. This cleaning mechanism is the key factor in identifying the type and nature of data for visualization and reporting through the system. Hence this exercise will be performed under the complete guidance of WSP. The cleaned data sets will be correlated each other to make a meaningful relationship for the database design. In order to establish a correlation, the key fields and fields which can be related each other may be identified. After establishing a successful relationship with each tables, the data tables will be exported to a database for querying and database manipulations. 4. A simple but meaningful visualization system will be established for the data visualization. Data need to be visualized in various formats like maps, charts and reports. Since the identified data sets are in 6 categories, a visulaisation platform may be developed to bring these various data sets to a meaningful system depending on the users requirements. 7. Ground level data collection The key challenge of the Open data system is to collect the raw data from various organisations and clean this data to a standard level in order to make use in the system for monitoring and analysis. The raw data need to be orgnaised by selecting the required data fields and make this to a common level and map this data to various other data sets for making the meaningful visulaisation in a simple and optimum approach. Page:8

9 Based on our discussion, it is suggested that this work can be completed with the support of a local organsiation which has working experience in data collection and data management with various International organisations, NGO s, Government departments and various organizations in the country. Hence it is decided to get the services of a local IT organization for the data collection work to support WSP/PSU and Synergy so that Synergy will use the cleaned data by the local IT company for the development of Open data System. The quality and data integrity of the processed data will be ascertained by WSP and the local company will work as per the guidance of WSP. 8. Open data monitoring prototypes Synergy will work closely with the Policy Support Unit (PSU) and Water and Sanitation Program (WSP), to design an Open data Monitoring Platform application using the IDM platform. This application will serve as a central location for analysis of GIS data, Hard to Reach (HtR) area data, population data, survey data, census and composite service delivery indicator data. Synergy will design an appropriate web-based data visualization interface and establish a user friendly data visulaisation system with data collected from the data mining approach and configure an appropriate and flexible analytical engine for data interrogation. The result, achieved through iterative prototyping of the application and close coordination with users of the envisioned platform, will function as a one-stop shop M&E web dashboard for Open data Monitoring. The most highlighted tool for the development of the data visulaisation will be the Map module in the Open data monitoring system. Decision makers, project managers, project implementers and Page:9

10 any stake holders of WSS can make use of this system for their area of work. The other modules developed will be chart, lists and reports. In the Map module, Users can use the advanced GIS tool for data visualization, mapping and analysis. The map module gives an opportunity to plot data directly on the map and then access that data through the map. Users can also query, aggregate, disaggregate, filter, and edit data on the map, visually capture data at any desired level, from the most general to the most detailed, Union Parishat (UP) to the Division level. The GIS tool offers an impressive array of state-of-the-art, advanced GIS features, such as the ability to zoom freely, to select a point on a map and ask the system to display any category of data within a given radius, which is what is called as buffer zone query. The Map Module allows to visually plot detailed project information on a geographic location. This is accomplished through a GIS component built into the application. If the user hover any Union Parishat s information icon, they will see the related data : Political, Governance, political, survey, impact, time series etc.. of that Union Parishat. Besides, charts can be overlaid on geographic locations, and multiple layers of information can be presented simultaneously for in-depth analysis. The system will facilitate to magnify a section of the map by selecting from the drop-down list, or by clicking the zoom feature, and then clicking the location you want to magnify. Page:10

11 8.1 Exporting Maps to PDF, MS Word and MS Excel Map module has the facility to design map reports and export them in PDF, MS Word and MS Excel formats to have the map reports saved by means of documents of the mentioned types. This feature provides additional analysis scope for users using other software and interoperability. 8.2 Displaying Data sets on the Map In the Map module, it is possible to display aggregate information based on data collected from various organsiations at the project level directly on the map. The system will also facilitate to modify the map by visually displaying aggregate reports on data sets by means of scaling. Users will be offered to overlay charts on geographic locations, and simultaneously present multiple layers of information for in-depth analysis of activities extended in a particular geographical area. The Map module will be provided with the facility to plot data fields (geocoded data) directly on the map and view them with the help of different icons and images. Page:11

12 8.3 Adding Static GIS Layers The Layers feature in the Map Module provides a variety of data to be displayed over the viewing area. The Layers feature is a convenient way to display categories, choose to view data on a scaling map, plot data in the form of different graphs (pie chart or bar chart) and display map features such as governorate or district borders. 8.4 Viewing Maps based on Time series Data The Map module provides the facility to plot different data series on a map and view them in the form of different graphs, such as pie charts or bar charts. For example, users can view survey data for different years and census data in the map as time series data. 8.5 Introducing the Reference Features of the Map Module In the Map Module the Legend feature is used to identify the patterns or colors that are assigned to the selected categories. Viewing the Legend is a convenient way to explain the data series or categories on the map. Page:12

13 It is worth mentioning that each data series or category is represented by a unique pattern or color in the map legend. Users can display that information in the Legend section if you have chosen to apply any category to the map. The data may as well be viewed at the bottom left side of the map if you have selected to view data on the scaling map. 8.6 View map data as data templates The data uploaded in the system can be viewed as Data templates or tables. This feature support users to understand the nature and purpose of data in a meaningful way. Also the DE template will provide the user to have a data management feature in future for the updation/modification of any data field. Page:13

14 9. Central data uploading system In order to collect and upload the data from various sources, a common data uploading mechanism based on ftp protocol was developed. This system enables, all the data providers to upload the data to a common storage, so that this data can be downloaded and cleaned for data visualization. The system works in a simple Window explorer based utility so that files can be uploaded/downloaded easily. (Since ftp, the uploading time will depends upon the internet speed). The system can be accessed on ftp://ftp.synisys.com/ The username and password for ftp server are: Username: ftpuser Password: Den!2gkhBar Page:14

15 10. Way forward This concept note is prepared on the basis of the first level discussion by Sunil during the mission with WSP, PSU and other International organisations. During the mission, a basic frame work on the overall data availability and coordination was discussed with PSU, WSP and other International agencies on how to proceed with the system design and implementation. Even though it is too early at this stage to define a concrete methodology and approach for the system, the objective of the concept note is to have a discussion among all the stake holders of the system on the points suggested by Synergy and elaborate further on it so that the methodology and process can be revisited and updated at this time. Hence it is suggested that, the Concept note can be used as the primary document for further discussion among the stake holders to define a well-structured frame work for the development of open data monitoring system. 11. Conclusion The concept note is the basic primary document for the open data system and hence it is suggested that the methodology and approach described here may be verified and discussed so that it will be flexible and easy to develop a concrete frame work at this stage by making modifications and updations to the methodology and approach described here. Page:15

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