Open Content in Kalimantan Project

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Konten & Pemetaan Kalimantan

Open Content in Kalimantan Project is a joint-project between Wikimedia Indonesia (WMID) and Humanitarian Open Street Map (HOTOSM) in mapping and content production about Kalimantan. It is funded by Making All Voices Count. The project is focused on making mapping module for OSM and making bot articles in Indonesian Wikipedia and Banjar Wikipedia and training for organisation's partner in Kalimantan.

The project is planned to be started in August 2014 and will be finished in the end of July 2015.

Supported by

Project Description

Q Please include a technically sound and realistic approach to addressing the issues of closing the feedback loop
between citizens and government. Explain in which way innovation (e.g. ICT/mobile and internet based applications) 
will play a role in this.

OpenStreetMap and Wikipedia have both previously been shown as strong tools for providing open content and data online both internationally and in Indonesia. Regional governments in Indonesia have data and content, but often it is available only on paper, not digitally or online. By creating a toolkit to assist government in providing open content about their region online through these tools it will be possible for not only citizens to see the information that is already available, but contribute to that information as well.

Both OpenStreetMap and Wikipedia content are available through through the web and with specific mobile version. Wikipedia Zero is also available through some providers in Indonesia so mobile users can access Wikipedia content in both Indonesian and English without incurring data charges.

Not everyone in the communities we will work will have have phones or computers to access the content in these ways though. That is why additionally printing of map is important. FieldPapers will be an important component of the mapping portion of the toolkit.

FieldPapers works through the following process:

  • A region is chosen on the FieldPapers website
  • An atlas is created
  • Pages from the atlas are printed
  • Communities can then write on the map to add missing information and correct mistakes.
  • A picture can then be taking of the atlas page and uploaded.
  • The uploaded map photo then becomes a geographic layer for editing in OpenStreetMap.

Once a detailed map is created then printing a poster sized map occurs so that it can be used by the village.

Wikipedia will create a feedback loop using a different methodology. Initial article structures will be created by use of automated software tools that create articles for geographic locations using existing open data. This will be followed by workshops with Universities and Government to expand the articles with additional information and context. Automated software creation of Wikipedia articles dates back to 2001, the first year of the English Wikipedia project, including content from encyclopedias, geographic databases and other specialist sources. Most relevant is the automatic creation of towns and regions in the United States, and in Europe. The software to create the articles is publicly available. It will need to be adapted to the local language and configured to use the local open data available. Automated Wikipedia article creation in Indonesian language has been undertaken several times in the past, on a small scale. However neither the Indonesian or English Wikipedia community have automated the creation of articles about the geography of Indonesia. As a result English Wikipedia lacks basic articles about the region, such as articles about capital cities of West Kalimantan, and Indonesian Wikipedia lacks articles about districts of West Kalimantan, and even islands with populations of more than 100,000 are missing from Indonesian Wikipedia.

Q Please describe what the issue is you want to address and what you want to change. 
How and why do you see the change occurring? Please indicate the overall objective of your project application, the specific 
objective(s), the expected results and outputs, the planned activities to reach the results anticipated and the inputs 
(financial but also non/financial like human resources) needed for the implementation of the activities.

We propose a multi-step process to create a community around the content that will be created. Primary to this process is having partners and stakeholders in government, universities, NGOs and the local community, secondary we will work with government ensure that there is basic seed data to help groups get started with Wikipedia. The initial testing of the toolkit and methodology will take place in Kalimantan with local partners there. The overall process contains the following steps.

  1. Consolidation of Combined Training Toolkit in Wikipedia and OpenStreetMap.
  2. Collection from Government of Baseline Content to Create Wikipedia Article Outlines.
  3. Creation of Bot Script to Add Outline pages in cooperation with Wikipedia Indonesia community and Wikipedia Bot guidelines.
  4. Workshops in Expanding Wikipedia Content and Editing OpenStreetMap with Local University
  5. Students Assist in Workshops with local communities, government and NGOs.
  6. Creation of Community Mobilizers out of most engaged and establish communications stipend with them.
  7. Follow-up workshop to check-in on toolkit usage
  8. Independent university evaluation of toolkit effectiveness
Q How is inclusiveness guaranteed? How is gender addressed? How does the project address the needs and interests of  
women and other traditionally excluded groups?

In Indonesia, most of infrastructure is readily available in Jakarta (as capital city) and the Island of Java. Our organizations are learning-centered organizations that value the perspectives and contributions of all people. Since our work will focus on the island of Kalimantan, it will incorporate the needs, assets, and wishes with the perspectives of the people in Kalimantan into design about the information of the area. We will also seed the community lead from the local participant, a guaranteed racial and ethnic composition to the community they will provide service for.

Wikimedia Indonesia has been successful in training and empowers young female leaders in their previous writing competition effort in Jakarta and Semarang. In our experience female student in the age bracket of 20-24 years old are more motivated than men in working for a purpose, and socially better in fostering collaboration in teamwork.

We also feels that It is important to provide tools and incentives for this to be effective, in the previous case mobile phone credit, some transportation fee, and Internet USB modems were provided. Wikimedia Indonesia also provide letter of reference for the student joining the project as one of their achievement. While some tools provided eliminated the barrier to entry for those who may not otherwise have Internet access, letter of reference will help students participating document for their future endeavors.

We also believe if the setup to collaborate was clear, fair and open since the very beginning we announce opportunity to join the project, even traditionally excluded group will have no problem joining in, if they are interested. Until now the member of Wikimedia Indonesia decision makers - board of executives and trustees are still dominated by female from various ethnic and religious background, while the Humanitarian OpenStreetMap Team in Indonesia is majority female.

Who is the target group and how many do you intend to reach? Explain the reasons for the selection of the target group. We have several target group: target group for participation and target group for reach.

  • Target group for participations and direct engagement:
    • Engaging four lecturers in two local universities to enable them to do research about the project.
    • Engaging twenty students majoring in engineering, IT, environmental, agriculture, and social sciences between 18-25 years old in two Kalimantan universities.
    • Target group for reach:
    • Communities in Kalimantan
    • Local Governments who have potential data
    • People interested in visiting Kalimantan
Q Describe your experience working in partnership with another type of organization (i.e. if government, working with 
civil society; if non-profit, with academic institution etc..)

Is your cooperation formalized in a Letter of Commitment? If so, please attach the Letter as documentary proof. Wikimedia Indonesia work in 2011 receive support from Ministry of Communication and Informatics in content creation. In 2013 Wikimedia Indonesia approaches The Coordinating Ministry of People's Welfare to support their program PNPM Pusaka with the goal of empowering citizen to recognize and preserve heritage. We also approaches Ministry of Tourism and Creative Economy in the end of 2013 to introduce how our work could benefit tourism by providing geographic content. Previously our work with other civil society involves introducing open license for their electronic content by signing up Creative Commons usage agreement with 20 NGOs, community, and individual being funded via our small grant program with The Ford Foundation Indonesia. As for Universities, Wikimedia Indonesia has been partnering with 17 Universities in Jakarta, Semarang, and Yogyakarta as an implementing partner for online writing competition in Wikipedia. We intend to expand this partnership to other cities for 2014.

The Humanitarian OpenStreetMap Team (HOT) has been working for the past two and a half years in Indonesia as part of a program to help create base data for disaster preparedness. This project is through the Australia-Indonesia Facility for Disaster Reduction which is a governmental organization co-chaired by the Australian and Indonesian government. During that time we have provided technical guidance and training regarding the use of OpenStreetMap for disaster preparedness and our work has involved further outreach to regional governments at the provincial, district and village level as well. The goal is that communities know their areas best and when they work in collaboration with government, universities and NGOs everyone can benefit from open data for preparedness.

HOT has also worked in collaboration with universities during this time. In our first year we hosted a university mapping competition at the University of Andalas, University of Indonesia, Gadjah Mada University, Bandung Institute of Technology and the Sepuluh Nopember Institute of Technology. We further collaborated with the Gadjah Mada University as part of an evaluation of the OpenStreetMap data collected as part of the program and later the University of Indonesia in a program to create base infrastructure data for the 267 urban villages in Jakarta.

Sustainability of project

Q Describe how the project will achieve sustainability after the project has ended. Indicate the mechanisms for 
long-term sustainability of the project after the grant activity is completed

Wikimedia Indonesia and the Humanitarian OpenStreetMap Team are committed to the growth of open content in Indonesia. Participants in this program will be connected to the broader Indonesian communities and supported in their local champion roles for talking about their successes in the project and informing wider public about possible replication in other areas in Indonesia.

While OpenStreetMap communication in Indonesia occurs primarily in Facebook with the group containing over 900 members, a component of the training will be to connect participants to this group. Indonesian language Wikipedia group have 3,978 members , while fan page in facebook reaches up to 55,732 fans. Even though this pages are not controlled directly by Wikimedia Indonesia as an organization, it shows the wide support from general public. The toolkit will point to these resources to connect participants ot the national communities. Controlled directly by Wikimedia Indonesia is Wikimedia Indonesia website whose main page has been accessed more than 259.701 since its establishment in 2008 , Wikimedia Indonesia facebook fan page with 3,884 fans , and twitter with more than 700 followers. Although the participant will not realize this in the beginning, their contribution will be preserve in Indonesian news section of the main page in Wikimedia Indonesia and their name will pop up via google search for credibility. Wikimedia Indonesia also have past experiences where we connect local champion with mainstream media where their stories with the project will show in local/ national newspaper.

In addition to having a support network in place for participants after the program is completed it is important the toolkit has a life afterwards as well. By releasing the materials openly online in local language it will allow remixing and updating of the toolkit by anyone. This allows the project to take a life of its own. Previous materials released by HOT include the LearnOSM.org website which was initially released in Indonesian and English, now it has been translated to eight languages. By making the toolkit easy to reuse and remix it will continue to survive after the program is over. Wikimedia Indonesia potentially will also seek scaling grants to take the toolkit to other places in Indonesia and other parts of the world. We would see the next possible country for these materials at the Phillippines as it has similar resources organizationwise.

Monitoring and Evaluation

Q Based on past experience (if applicable), present how you will monitor the grant project implementation
(please include data collection exercises and reporting)

In our past experience frequent short reports assist in more frequent data gathering. Statistics regarding edits and views will be collected on a monthly basis. To monitor the progress of the grant we will create quarterly reports with the following information:

  • Number of Wikipedia pages created by participants trained
  • Number of Wikipedia Page Views of the Pages Created
  • Number of Edits in OpenStreetMap by Participants Trained
  • Summary of Activities for the Month
  • Summary of Interactions with Participants. (Technical Support and Other Communication)
  • Problems Previous or Potential Problems and Mitigations

By frequent recording the data available for the final report will be more detailed and accurate. We will also be able to anticipate potential challenges. The final report will utilize the monthly reports as inputs, in addition there will be more complex analysis.

  • Measurement of Usages of Wikipedia Pages Overtime Relative to Content Added
  • Analysis of Participant Edits Overtime
  • Lessons Learned from Implementation of the Project.

In addition to this the financial accounting of the project will be completely open. Wikimedia Indonesia as the local organization administering projects utilizes Mediawiki to record all transactions and expenses publicly. This allows anyone to know at anytime what the status of the project is from a financial perspective.

Q Describe your current M&E capacity in terms of human resources and budget available 
(please also clearly indicate M&E budget in the application's budget)

The base M&E of the program will be looking at the contributions of content overtime to OpenStreetMap and Wikipedia. Through our training program we will collect user accounts so this can be monitored. This only allows one portion of the story to be told though, the contribution of content but not the usage of that content. Usage can be more difficult to measure in Wikipedia page views can be tracked, however readership numbers as impact can only be determined as useful or not useful after the articles exist for more than two years. In OpenStreetMap we do not have such capacity directly on OpenStreetMap.org. Quality can requires analysis to measure.

That is why an independent evaluation through a university is necessary. Previously HOT has worked with the Gadjah Mada University for this type of evaluation. The focus of the faculty we worked with was related to Geodesy, so for a more full evaluation we will look for a partner that can more broadly look at the OpenStreetMap and Wikipedia content.

We will also ask other partners to evaluate the toolkit we have built in their own context. There has been a strong connection of sharing between OpenStreetMap Philippines and the Humanitarian OpenStreetMap Team, we engage them to evaluate the toolkit for their own use. Previously Yayasan Lontar as one of the NGO Wikimedia Indonesia worked with experience the benefit of having a bot articles made in Indonesian language Wikipedia have also previous worked together so we will also ask for their evaluation was well.