Accessibility Settings

color options

monochrome muted color dark

reading tools

isolation ruler

Resource

Topics

A Call for Debate: Taking Open Data and Government to the Next Level

NOAA

Open data: A look at global climate conditions from the U.S. National Oceanic and Atmospheric Administration.

Please close your eyes and imagine a world in which data that describes most human activities in a nation is freely available, reliable, and commonly used by businesses, consumers, journalists, and local, national, and international governments and organizations. This data comes raw and processed from people, sensors, computers, networks, community groups, businesses, blogs and media outlets, political parties, courts, police and fire departments, airplanes, trains, satellites, deep sea and space stations. It flows real-time and batch in every conceivable structured and unstructured format, and every year its velocity, variety, and volume contribute 5-10% of additional GDP growth by enabling new things to happen that could never even be imagined without access to this vital natural resource: knowledge.

The world I describe above was first imagined by the U.S. Government in 2009, when Data.Gov was created. And since then, hundreds of cities, states, and nations around the world have embraced the concept of open data and open government by publishing millions of data sets of dubious quality that few people are aware of and hardly anyone really uses.

Why?

Why is there so much data of questionable quality that less than 1% of the population of the world is using when there could be tremendous demand for extremely valuable data that could make a huge difference in everyone’s lives?

Why aren’t cities, states, and nations publishing data about all their procurement contracts, road construction projects, environmental impact surveys, aggregate weekly business demand, daily housing starts, monthly company earnings reports?

Money.

To publish more data you need more money. And historically, data management is a woefully underfunded organizational activity.

Not just in government. Everywhere.

data portals imageIn most cities and countries the number of people in a government working on open data is normally one or two. And in many countries it is international aid organizations who fund the open data programs. Data.Gov in the United States is run by four people. It has satellite maps that could provide the world’s first comprehensive inventory of global agricultural production for every crop produced by every country. That’s data that many subsistence farming nations don’t even have about their own production. With that data we could end world hunger in a few years and ensure agricultural security in the face of certain climate change over the next decade. Why isn’t it being done?

No money.

Someone somewhere wants a pre-study for a study to build a business case for data to be found, collected, curated, and published to specific audiences for specific purposes to measure, with KPI’s (key performance indicators), exactly how the business case for the investment to hire the resources and build the solution to provide the data should be documented so the committee can reject it due to budget cuts.

Open government and open data are unfunded mandates that could be/should be producing really profound changes in how government institutions are organized, how information is shared between government departments and other governments, how public and private partnerships are created, how new businesses are started, how existing ones develop new products and markets, how communities solve problems, how journalists uncover hidden truths, and how the benefits of governance itself is measured.

But this isn’t being done today and the first step to helping change the world is to study what’s working and what’s not. I see a lot of great organizations discussing parts of the issues in closed communities, councils, and companies. But I think open data and open governance affect everyone and everyone should be included by default in the possibility to contribute to the conversation.

I am not an expert on all the issues, but I do think there are experts who want to participate. The IBM Open Governance Council has been created to enlist experts the world over to participate in a public forum where tough challenges are explored in a fully transparent and open environment that ANYONE can join.

Here are some questions we can start exploring:

  1. How Open changes public and private Governance — the state within states must open up?
  2. How data management can strengthen governing institutions and restore public trust?
  3. How to achieve a hundredfold increase in data management investment?
  4. How to address the need for more and better data science skills?
  5. How to ensure all organizations have and use common standards in records retention, metadata, publication, and archiving?
  6. How to make sure broadband bandwidth keeps pace with cloud data demands over the next decade?
  7. How to include people in policy decisions?
  8. How to open up procurement transactions and eliminate corruption?
  9. How to change organizational behavior sustainably?

Those are some questions I have been thinking about that could be explored. But it’s an open council, with open and fully transparent rules, and I will encourage members to bring their own questions, challenges, solutions, and ideas.

I think we can make a difference. We will self-organize meetups, meetings, conferences, and calls as needed. And we will, if needed, create, endorse, promote, and recommend ideas, standards, pilots, and projects.

There is only one requirement to join. You have to state your agreement with this Open Governance Declaration.

Join us and help make Data the Open, Free and Ubiquitous Natural Resource that Improves Governance, Business, Science, and Human Progress.

P.S. It is only “IBM” because I work for IBM and my company cares about these issues and we think it’s important to step up and make a difference.


AdlerSteven Adler (@DataGov) is chief information strategist for IBM. He is an expert in data science and an innovator who has developed billion-dollar-revenue businesses in the areas of data governance, enterprise privacy architectures, and Internet insurance. He has advised governments and large NGOs on open government data, data standards, privacy, regulation, and systemic risk. 

Republish our articles for free, online or in print, under a Creative Commons license.

Republish this article


Material from GIJN’s website is generally available for republication under a Creative Commons Attribution-NonCommercial 4.0 International license. Images usually are published under a different license, so we advise you to use alternatives or contact us regarding permission. Here are our full terms for republication. You must credit the author, link to the original story, and name GIJN as the first publisher. For any queries or to send us a courtesy republication note, write to hello@gijn.org.

Read Next

Data Journalism

Data Journalism Top 10: Measuring Mask Use, Parental Interruptions, Childbirth Woes, India’s Low Death Rate

How widespread is mask use in your country? Our NodeXL #ddj mapping from July 13 to 19 finds The New York Times mapping the odds of people encountering other mask wearers in the United States, two university professors quantifying the number of interruptions a parent suffers on average every hour while working from home, the Committee to Protect Journalists talking to data journalists about the struggles of reporting on COVID-19, and openDemocracy documenting cases of mistreatment of women in labor around the world since the pandemic started.

Data Journalism

Data Journalism Top 10: Bill Gates Conspiracies, COVID-19 Excess Mortality, Home Deaths Spike, Test Kits

Misinformation has grown ubiquitous during the COVID-19 pandemic, so much so that World Health Organization Director-General Tedros Adhanom Ghebreyesus proclaimed: “We’re not just fighting an epidemic; we’re fighting an infodemic.” Microsoft co-founder Bill Gates has emerged as a favorite target of disinformation actors, according to The New York Times, that we discovered through our NodeXL #ddj mapping from April 13 to 19. We also found The Economist and ProPublica examining the true impact of the pandemic by looking into “excess mortalities” such as home deaths, the Associated Press releasing and updating a coronavirus public dataset for the United States.

Data Journalism

Data Journalism Top 10: Viral Dataviz, DIY Masks, Breaking the Wave, China and US Response to COVID

From “flattening the curve” to “social distancing,” and now “breaking the wave,” the global data journalism community is using new terminology in its attempts to explain the intricacies of COVID-19 to the masses. Our NodeXL #ddj mapping from April 6 to 12 finds Reuters Graphics explaining their “breaking the wave” chart, The Washington Post helping readers figure out the best material to use to make their own masks, the Financial Times comparing the response of China and the United States in handling the pandemic, and Press Gazette highlighting the huge appetite for data-driven visual journalism about COVID-19.

Data Journalism

GIJN’s Data Journalism Top 10: Women and the Oscars, February’s Sad Songs, Hollywood’s Franchises, Moscow’s Elite Owners

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 3 to 9 finds UOL highlighting the lack of gender equality among Oscar winners and G1 looking into problems of ageism in the Best Actress category. This edition also has The Economist analyzing Spotify data to find the most depressing month for listeners, Proekt Media investigating property owners in a prestigious residential area in Russia, and The Financial Times spotlighting the lack of innovation in the movie industry.