Global Witness and Open Knowledge – Working together to investigate and campaign against corruption related to the extractives industries

Sam Leon - November 17, 2014 in Data Journalism

Sam Leon, one of Open Knowledge’s data experts, talks about his experiences working as an School of Data Embedded Fellow at Global Witness.

Global Witness are a Nobel Peace Prize nominated not-for-profit organisation devoted to investigating and campaigning against corruption related to the extractives industries. Earlier this year they received the TED Prize and were awarded $1 million to help fight corporate secrecy and on the back of which they launched their End Anonymous Companies campaign.

In February 2014 I began a six month ‘Embedded Fellowship’ at Global Witness, one of the world’s leading anti-corruption NGOs. Global Witness are no strangers to data. They’re been publishing pioneering investigative research for over two decades now, piecing together the complex webs of financial transactions, shell companies and middlemen that so often lie at the heart of corruption in the extractives industries.

Like many campaigning organisations, Global Witness are seeking new and compelling ways to visualise their research, as well as use more effectively the large amounts of public data that have become available in the last few years.

“Sam Leon has unleashed a wave of innovation at Global Witness”
-Gavin Hayman, Executive Director of Global Witness

As part of my work, I’ve delivered data trainings at all levels of the organisation – from senior management to the front line staff. I’ve also been working with a variety of staff to use data collected by Global Witness to create compelling infographics. It’s amazing how powerful these can be to draw attention to stories and thus support Global Witness’s advocacy work.

The first interactive we published on the sharp rise of deaths of environmental defenders demonstrated this. The way we were able to pack some of the core insights of a much more detailed report into a series of images that people could dig into proved a hit on social media and let the story travel further.

GW Info

See here for the full infographic on Global Witness’s website.

But powerful visualisation isn’t just about shareability. It’s also about making a point that would otherwise be hard to grasp without visual aids. Global Witness regularly publish mind-boggling statistics on the scale of corruption in the oil and gas sector.

“The interactive infographics we worked on with Open Knowledge made a big difference to the report’s online impact. The product allowed us to bring out the key themes of the report in a simple, compelling way. This allowed more people to absorb and share the key messages without having to read the full report, but also drew more people into reading it.”
-Oliver Courtney, Senior Campaigner at Global Witness

Take for instance, the $1.1 billion that the Nigerian people were deprived of due to the corruption around the sale of Africa’s largest oil block, OPL 245.

$1.1 billion doesn’t mean much to me, it’s too big of a number. What we sought to do visually was represent the loss to Nigerian citizens in terms of things we could understand like basic health care provision and education.

See here for the full infographic on Shell, ENI and Nigeria’s Missing Millions.

In October 2014, to accompany Global Witness’s campaign against anonymous company ownership, we worked with developers from data journalism startup J++ on The Great Rip Off map.

The aim was to bring together and visualise the vast number of corruption case studies involving shell companies that Global Witness and its partners have unearthed in recent years.

The Great Rip Off!

It was a challenging project that required input from designers, campaigners, developers, journalists and researchers, but we’re proud of what we produced.

Open data principles were followed throughout as Global Witness were committed to creating a resource that its partners could draw on in their advocacy efforts. The underlying data was made available in bulk under a Creative Commons Attribution Sharealike license and open source libraries like Leaflet.js were used. There was also an invite for other parties to submit case studies into the database.

“It’s transformed the way we work, it’s made us think differently how we communicate information: how we make it more accessible, visual and exciting. It’s really changed the way we do things.”
-Brendan O’Donnell, Campaign Leader at Global Witness

For more information on the School of Data Embedded Fellowship Scheme, and to see further details on the work we produced with Global Witness, including interactive infographics, please see the full report here.

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Get better feedback from your data training events!

Rahul Ghosh - November 13, 2014 in Impact, Skillhare


“What do we require to evaluate our programs? How do we show that our program is making a difference? Why is getting feedback important for data trainers? How can we get feedback from training events?”

Last week we hosted a School of Data skillshare with our M&E gurus Rahul Ghosh (Open Knowledge) and Oludotun Babayemi (School of Data Fellow) to explore these questions, and share some methods and toolkits for gathering feedback from training events. This skillshare was tailored to data trainers from the School of Data network, but is also general enough to provide some of the basics of feedback collection and useful methods and tools that can be adapted to other contexts.

This is a one-hour video to learn all about feedback collection from Rahul and Olu:

Learn the basics of feedback collection with slides

Olu and Rahul prepared these slides with corresponding notes and resources. We hope that this will be useful for you when you run your next training event.


Slide 4: Why collect feedback for training events

Slide 5: Feedback collection methods

Slide 6: Types of data collection designs


Slides 9 – 11: Pre training feedback forms & guide

Slides 13-15: Post training evaluation forms & guide

More details:

This presentation has detailed speaker notes. Open the slide deck to see them.

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Launching of the Indonesia Data Portal

yuandra - November 11, 2014 in Events

Indonesia Data Portal Launch


Exciting news comes from the developing country that is Indonesia: a new data portal! As one of countries with the biggest populations in the world, as well as one of the most varied in terms of culture, one can only imagine what kind of data that Indonesia has. And last September with the launching of the Indonesian national data portal, we finally got a glimpse of that treasure trove of data.

The Indonesian national data portal project started as an effect of Indonesia becoming the Chair of the Open Government Partnership initiative in 2013; holding this position, the Indonesian government started pushing for more domestic projects on open government. As it turned out, one of them happened to be the national data portal. The national data portal project is done under the care of the presidential unit for monitoring, control, and oversight (UKP4), a special unit that has been given presidential mandate to monitor and evaluate government agencies that have been created under the previous president of Indonesia, Susilo Bambang Yudhoyono. The project is also supported by international agencies such as the World Bank.

After much effort, the Indonesian national data portal, aptly named, finally launched! It now host 816 datasets from 24 state institutions & local governments and consisted of many kinds of data such as development data, health data, economic data, and demographic data of Indonesia. All the data is currently licensed under Creative Commons Attribution 2.0.

The launching of the Indonesian data portal marks a very interesting starting point for Indonesians. It shows that data is starting to be regarded as something that has high value for the Indonesian people, and by using the data portal they have started to collect all the data in an organized manner and opened it up freely to everyone. There is still much to do however, with the datasets mainly submitted by a small subset of the state institutions and the local governments; also, all the data is currently in Indonesian only, but nevertheless, it is a good first foray for Indonesians into the world of data.

Check the Indonesia data portal here :

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Education Data Dive in Tanzania

Joachim Mangilima - November 10, 2014 in Data Expeditions, Events

We recently had a round of training in Dar es Salaam to continue growing momentum and capacity around open data in Tanzania, which is part of a bigger commitment by the Tanzanian government to the Open Government Partnership (OGP), a global initiative that aims at promoting transparency, empower citizens, fight corruption and encourage use of new technologies to improve governance. In Tanzania this commitment covers three main sectors: education, health and water.

“Open Data Training: Education Data Dive” workshop was held on 6-10 October 2014, in Dar Es Salaam, with representatives from Ministry of Education and Vocational Training (MoEVT), Prime Minister’s Office- Regional Administration and Local Government, National Examination Council of Tanzania (NECTA), E-Government Agency (EGA), National Bureau of Statistics (NBS) and National Council of Technical Education (NACTE), Tanzania Education Authority and other institutions.

Group photo for training in Dar es Salaam

Group photo for training in Dar es Salaam

This was my first time co-facilitating a workshop of this kind as a School of Data Fellow in Tanzania. And it was a fantastic opportunity for me to sharpen my facilitation skills and also to learn from other facilitators, including the main facilitator and a more experienced among us all, Michael Bauer from the School of Data. It was a wonderful thing seeing all these government agencies responsible for education, in one room, learning and sharing from one another, which even by their own admission is very rare situation. When we were preparing for this workshop we knew that there is an existing expertise and knowledge about specific education datasets, but the challenge is mainly in letting other agencies know this so that they can be able to collaborate between themselves. It was fitting then that we had several datasets from some of the agencies that we used during our workshop to bring participants to a common understanding of open data concepts, teach and practice data wrangling skills and clean and join key datasets that some of them were already familiar with.

We started the workshop by focusing on developing a common understanding of open data and data management with concepts such as improving usability of already available public data providing better metadata and improving data workflows, to open licensing of data. Then we proceeded to introduction of various tools for data cleaning, analysis and visualization, including Open Refine, QGIS, Fusion Tables and Pivot Tables. This was the first time that most of the participants were using these tools, and they were excited to see how these tools opened up a world of possibilities that they did not know that existed with the datasets that they are working with often. An example was clearly illustrated by one participant from the PMO-RALG who was glad to have discovered Pivot Tables, as most of the tasks that he is working on most datasets would be simplified a lot using Pivot Tables skills. These practical hands on sessions were met with enthusiasm by all participants, and despite dedicating two full days, they were still up to spending more time cleaning, merging, analyzing and visualizing their datasets using these tools.

Brainstorming during the workshop

Brainstorming during the workshop

One major discussion that resonated throughout the workshop and how these agencies through working together might be able to come up with solutions about this , was the lack of unique codes that can be used to identify schools by different education stakeholders when dealing with education datasets containing schools. Most participants were of the agreement that merging data sets and coming up with analysis and visualizations during the workshop, would have been much easier, if we had unique codes used by every agency whose data sets were used during the workshop.

The latter part of the workshop was mainly spent, collecting feedback about the workshop and jointly plan the way forward for the implementation of what participants learned in their daily workflows. The follow up plan was drafted in which we will have a bi–weekly sessions with some of the participants to work together to implement what they learned during the workshop and also to revise various techniques about the tools learned and to dive deep into techniques we could not cover during the workshop.

Post-it notes from the workshop

Post-it notes from the workshops

The highlight for me of this workshop was the informal discussions that participants were having during breaks in which most of them were of the agreement that Open Data initiatives need not be seen as a foreign based concept imposed on Tanzania, but rather Tanzanians themselves need to see the benefits and take ownership of this concept.

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National Training on Working With Data For Extractive Industries in Indonesia

yuandra - November 7, 2014 in Data for CSOs, Events

Capacity Building Workshop for Publish What You Pay Indonesia

Following on from the Capacity Building workshop held in September 2014 with Publish What You Pay Indonesia (PWYP Indonesia) and supported by South East Asia Technology & Transparency Initiative (SEATTI) – HIVOS, at the beginning of October, I helped lead a a two day national training regarding extractive industries data for CSO in Indonesia, with the same audience. Done in parallel with the national work meeting of the PWYP Indonesia coalition of CSOs, the training was focused on raising awareness of data usage and giving the basics on how to work with data for CSOs in the extractive industries sector in Indonesia. The two day training attracted 20+ participants from various CSO that joined in the PWYP Indonesia coalition and by the end of training we hoped they would have their own data project to continue working on.

The First Day

The first day was dedicated to learning the basics, and the theory! In the beginning, the participants are being given the rough theory and basic stuff on how to work with data & data usage, that is based primarily on the School of Data’s data pipeline. The concept of data work in the pipeline (asking a question, finding data, getting data, cleaning data, analyzing data, and visualizing data) also became the building blocks of the training.

After the participant got a heavy dose of the basic stuff regarding how to work with data, then we went straight into the technical how-to’s, and got their hands dirty. We talked about how to finding data using Google’s advanced search, using the newly launched Indonesian Data Portal, how to create their own forms using Google Docs, and how to get data from PDF using tools like Tabula. After they got their hands full of finding & getting data, then we went to the next step of cleaning data by showing them what we mean by ‘messy data’, and exactly what kind of clean data that they want to achieve in order for the data to be usable, and re-usable by others.

As a session bonus in the end to close the first day, the participants were given a sample demonstration on how they can easily analyze their social media data using Wolfram Alpha. It was really a lot of stuff to chew on the first day, because it was so full of the basics, but the participants felt excited, and a silver lining that can be taken from this session is that actually a lot of the data pipeline concept has already been done by the CSO in their everyday work; the only difference, however, is that they weren’t (yet!) understanding it in terms of the big picture. To understand their work flow better, looking at it through the ‘data pipeline’ framework really helped.

The Second Day

On to the second day!

The second day was done in parallel with the PWYP’s national seminar, and the data training track was put after the keynote and panel discussion regarding transparency in the extractive industries area. Even though the data training session was optional, and scheduled for the afternoon, this did not hinder the energy of the participants of the data training. The session was just packed as the first day’s session!

The materials for the second day focused more on the actual implementation of the theory of the data pipeline that we went through on Day 1. The participants were introduced to the concept of data visualization and the tools that they can use for visualization, then using these tools and everything that was covered on Day 1, they were encouraged to try and create a data project plan using the pipeline as a template.

As always with visualization, the participants were very interested and active in this session. Inevitably, we had a couple of minor glitches regarding internet connectivity, and it came up that some of the visualisation tools that we recommended actually needed an internet connection, but nevertheless the the session turned out nicely offline. After the “Creating your own data project” session facilitated by the PWYP Indonesia team, there was much discussion – which even continued after the time for the training has ended. Such incredible energy for data training!


Overall, there was a lot of interest in the technique of how actually to work with data, and how the usage of data can help the CSO groups to improve their advocacy work. This was great to see – because once you start to learn that data can help you, you will be hooked to learn more and more about data and how to work with them :)

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Capacity Building Workshop for Publish What You Pay Indonesia

yuandra - November 6, 2014 in Events

Capacity Building Workshop for Publish What You Pay Indonesia

In early September, I participated in a workshop together with the Publish What You Pay Indonesia (PWYP Indonesia) coalition, a collection of CSO working for transparency in the extractive industries, and supported by the South East Asia Technology and Transparency Initiative (SEATTI). We focused on how to create and leverage transparency in the extractive industries based on open data and what is the best way to do it – or, the EIOpenData movement.

The workshop provided an introduction to the world of open data, and we looked at how to work with data to create transparency and openness in the extractive industries. It started off with a session from the Indonesian Information Commission on actually how people can create Freedom of Information requests (FoI), which is a useful way to get data from public bodies. Afterwards, the discussion continued with a representative from the Presidential Unit for monitoring, control, & oversight (UKP4) talking about their new plans regarding the Indonesia Data Portal and how they plan to support transparency.The attendance of speakers from the government clearly showed that there is buy-in from the Government of Indonesia (GoI) to support transparency and data use in Indonesia, which is very exciting.

Data Pipeline Following directly after that was a panel discussion where I talked about the data pipeline and how to work with data, together with a representative from PWYP Indonesia who talked about Extractive Industries Transparency Initiative (EITI) data, which is an international movement that push for transparency in extractive industries domain, especially budget data. We were also joined by a representative from the Web Foundation to talk about open data solutions.

The discussion that followed was an exciting one. We brainstormed ideas about how to work with data and open data to strengthen advocacy in the extractive industries side, with very active participants. They were interested in how they can actually use data to help in their cause for advocacy. The world of data and data usage especially for advocacy in Indonesia is very new, so workshops like this, with the goal of raising awareness of data use among CSOs, are hugely beneficial to the Indonesian community.

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School of Data retreat roundup

Zara Rahman - November 5, 2014 in Events, School_Of_Data


A couple of weeks ago, the Knowledge Unit, (Heather Leson, Anders Pedersen, Lucy Chambers, Milena Marin, Sam Leon, Zara Rahman and James Hamilton) met up in person for a face-to-face team meeting. You’ll be hearing about lots of the things that got discussed as we get through the (many!) post-it notes that were produced during the week; but for now, we wanted to share a few initial thoughts and learnings.

  1. Taking the time to sit down and remember why we’re all here, and focus on all the great stuff that School of Data has done, is really important and a great motivator.

  2. Thinking about our ‘users’ or ‘stakeholders’ can be confusing, but is important: who uses School of Data? We’ve thought about it in the past as simply civil society and journalists, but increasingly we’re seeing demand come from the government side, who are recognising that levels of data literacy among their staff is also low.

  3. Out of everything we’ve done and delivered this year, we’re probably most proud of the 2014 School of Data fellowship scheme; we’re now working with 12 incredible data leaders from across the world, who we met up with in person during our first Summer Camp in Berlin this summer. We’re learning more from them than we ever could have imagined, and we hope that bringing together such stellar leaders from around the world is strengthening our collective data training skills!

  4. We need to revamp our website: and this needs dedicated time and effort. However, due to limited human and financial resources and other firm commitments that our team has to deliver this year, we decided to postpone the revamping of the website for January 2015.

  5. The curriculum is an octopus: we have so much curriculum material online, but it is very scattered! Lots of valuable training materials are hiding on the blog, in Google Docs somewhere, on individuals computers; we need to get better at collating and standardising this, so that others can use these materials and build upon them.

  6. On a meta-level: we set high expectations of ourselves, and perhaps we work ourselves a little too hard. Looking after our own well-being is crucial to being able to perform at our highest ability at work – this could include things like taking time off even when we worry that we’ve got too much to do, or taking regular breaks at our laptops to reduce the risk of RSI.

  7. We need to get better at documenting what we do: sitting down to write a blog post or a write-up of a training often falls to the bottom of the priority list, but this can cause us problems when we’re trying to prove that we are, in fact, doing a lot! We’re trying to do this better now ourselves and within the network, too.

  8. Governance of the School of Data network is tricky, and we need advice on how to do it best: so, we’re going to seek advice from experts and build an Advisory Board. School of Data has grown so organically and so quickly that it’s almost taken us by surprise; but we want more than anything to make sure that engaged and active members of the School of Data community can shape the way that School of Data evolves in the future.

  9. We’ve done some pretty great things this year; from launching the fellowship scheme, organising the first School of Data summer camp, to producing topic-specific curriculum, working with organisations such as Global Witness to produce influential data-driven advocacy work, seeing School of Data grow into 5 different languages (English, Spanish, Portuguese, French and Greek), organising the School of Data journalism track in Perugia, not to mention tens (or hundreds?!) of workshops and training sessions literally across the world. And of course, none of this would be possible without the support and engagement of such a wonderful community, for which we are very grateful, humbled and honoured!

We hope you’ll join us on the next stage of the School of Data evolution, and we will of course be in touch with you very soon to gather your opinions and learn from your expertise. Thank you!

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School of Data Goes to MozFest 2014 ! – Part 2

yuandra - October 31, 2014 in Data Expeditions, Events

Part 2 of our MozFest recap: check out the first blog post for our Day 1 adventures…

Third Day Recap – Second School of Data Session!

After our first successful session, the School of Data team went in excitedly for the second session on Day 3! The floors were packed in the morning because the organizers made the surprising decision of giving (we think everyone) who attended the Mozilla Festival a Firefox OS Flame phone. A sweet phone, which caused long queues in the Ravensbourne building.

With the sessions now in full steam, the second School of Data session was scheduled in the afternoon, and we brought a familiar School of Data format: that is, the data expedition! The theme for today session is “Analysing Data Using Spreadsheets”, and we went ahead, data sherpa style!

The theme chosen for this data expedition session was all about the re-enacting the Titanic. We provided data on the passengers of the Titanic, and from there we tried to work the data through the familiar School of Data data pipeline. We split the participants into two groups based on the operating system that they use, and then we started hacking! We started by first using a lot of post it notes to try finding questions that we could answer using the data, and after that we used spreadsheet tools such as Excel to find some answers, and last but not least, visualize those answers.

We had an interesting mix of participants in this session, with some them having already worked with spreadsheets a lot, which led to the wonderful situation where participants were teaching with other about various things such as pivot table techniques, formulae, and even the super useful but hard to notice text to column button in Excel (and we also learn new things too) – as following the collaborative learning spirit of Mozilla Festival.

In the end, this is what we made : A visualization of titanic, showing the survival rate of the passengers, separated by gender and passenger class. Really nice expedition :)

School Of Data @ Mozilla Festival London

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School of Data Goes to MozFest 2014 ! – Part 1

yuandra - October 31, 2014 in Events

It’s October, which means it’s time for Mozilla Festival! The annual event that is hosted by the Mozilla Foundation is now in its 5th year, and it just keeps getting bigger. The festival took place at Ravensbourne College in London on 24-26 October 2014. Occupying the whole 9 floors of the Ravensbourne building, and with 11 tracks to choose from, the festival this year attracted more than 1600 educators, collaborators, developers, and enthusiasts working towards an open and creative web. This year, the Mozilla Foundation generously supported the School of Data team to conduct sessions regarding data as part of the Science and the Open Web track, which were “Dealing With Messy Data” & “Analyzing Data Using Spreadsheets”. Without giving any too many spoilers away, it was a blast!

First Day Recap – Opening Science Fair

The first day of MozFest was the opening night with the science fair coming in with a full entourage. There was an airblimp, digital guitar, particle shooter and much more! Of course, we had a school of data table at the fair (shown below), together with the Mozilla Science track section and together with the very nice people from the OpenScience.

School Of Data @ Mozilla Festival London

There was a lot of excitement that night, and a lot of people were asking around about the School of Data, and expressed interest in learning data related skills. The team answered all the questions excitedly, and also gave information about School of Data activities including the School of Data fellowship programme, which has taken the School of Data to a whole new international level, with 12 of us fellows operating internationally.

Second Day Recap – First School of Data Session!

The second day of the Mozilla Festival (which is actually the first “main” session day) started with opening talks. Then, the sessions started in earnest, and we held our first School of Data session at the Mozilla Festival! Our session was in the science track on the 7th floor, and to start with, we did a session titled “Dealing with Messy Data”.

School Of Data @ Mozilla Festival London

As with the title said, this session is all about messy data. We had about 30 participants in this session, and after some group exercises, we asked questions to the participants, such as: if data were an animal, what kind of animal would it be? A lot of interesting answers came up, including one saying that data was like a mythical beast. Next, we split the participants up into groups, and started hacking on messy data.

First we gave them a dataset (a messy one of course), a lot of post-its, and we gave them time to see what it is that made the data messy. After a lot of post it stacks later, we finally gathered around and made this very nice wall of post it full of messy data elements.

School Of Data @ Mozilla Festival London

With the messy data element properly explained, it was then time to get hands on, technical style with the messy data! True to MozFest collaborative spirit, we got a lot of help from various people such as from Software Carpentry & ROpenScience, so we had about 6 tables, each of which were focusing on a specific technique such as Open Refine, R, Regular Expression, and Python. It was really great and we learned a lot – we hope our participants did too!

But this was just the start of the School of Data team adventure in MozFest;stay tuned for the report of our second session, Analyzing Data via Spreadsheets, in part 2!

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Catch us if you Can: The #OpenData party moves to Calabar!

olubabayemi - October 28, 2014 in Events

So what’s the fuss about this #Opendata party in the South South of Nigeria – It will be held in one of the cleanest city in AfricaCalabar, and will be hosted in a state that has the most comforting tourist attraction in West Africa – the Obudu Mountain Resort! If you think there is another like it in the region, please comment below ;) and one other thing about Calabar is the attributes to their women, and just for clarification – Calabar remains the capital city of Cross River State.

Right on time at the popular Mirage Hotel on October 15, 2014 was the Open data party that had 15 participants from different NGOs, citizens and this time we had some government officials – thus making it interesting. Whenever you have these three groups locked on a round table – questions like: why didn’t you make the data available, why didn’t  you reply our FOIA, didn’t we make funding available for you to monitor, what happened to all the international aid you get, all come up, and as a facilitator – you are lost!

Break out session at the Open Data Party in Calabar

Break out session at the Open Data Party in Calabar

With my experience teaching data with NGOs, journalists and citizens, it is still clear that few of the practitioners know where even the little data available is hidden online. “It is appalling that we all here don’t know where the federal government budget is being published” affirmed Onoche Mokwunye. I get this answer often in all my sessions, which makes us conclude at times that the simple skill of finding data (secondary) itself and what their interest was in data, remains important.

In trying to figure out what kind of data they were interested in 40% of the participants were interested in budget data of the country; 30% were interested in contract data  (in essence, the issue of money, and how it’s been used is important), while the remaining 30% was shared amongst election data, environmental data, infrastructure data, and transport data (which seems not to be available). Going forward did they really know where to find this data? KNOW! Well, it will be important to state that the Nigerian government has recently focused on some open data initiatives, even though it is not as if these portals make data available in machine readable format.

See what kind of data our participants were interested in

See what kind of data our participants were interested in

One may think, since we wouldn’t know where to find, or how to get the data, analyzing data might be a great challenge, of course NO! This group had great knowledge of diving into excel spreadsheets – maybe I knew only one way of handling some task before, now I learnt two more ways – that was the most interesting part of this data party! So what else, how do we present this datasets using several visualizations and infographic. “I have seen several colourful visualizations (online) that people in our communities cannot relate with, as such we still need to break it down in the language they will understand (offline) – maybe that’s an added task for us” explained Benny from AfterSchool Peer Mentoring Project

Just before the end of the sessions, participants already concluded to have another 2-day Open Data Party,, while they declared having step down training in their own communities. When our Open Data party ends within 8 hours, participants are at times heartbroken! “Are we going to continue tomorrow, I seem to be an information and skill overload in a short time” – mentioned Ndoma Mayor in a phone call with me. Truly, does our party end in 8 hours? What happens to the” party” behind Open data – we always rock the club, after all, we are in Calabar, where the female become goddess at night! And if you want to know where our next open data party will be happening: most definitely – Abuja, No thanks to Connected Development [CODE] and Indigo Trust UK

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