What are the the top three most promising open data sources that you would like to combine for an innovative app or data analysis?
Please let us know and we will try to make it easy for you.
Continue reading “Three Open Data Sources Made Easy”If Open Data is Like Open Source (20 Years Ago) 5/5: Inner Data
In five posts, I want to speculate about the next twenty years of open data based on the past twenty years of open source. The idea is to transfer what we learned from open source in one way or another to open data.
This is part 5 on inner data, that is, the collaborative creation and sharing of data within one company.
If this sounds easy, please meet the “modern” corporation with internal competition, phlegmatism and personal antipathy, all of which ensure the corporate silo structure.
Continue reading “If Open Data is Like Open Source (20 Years Ago) 5/5: Inner Data”If Open Data is Like Open Source (20 Years Ago) 4/5: Creating and Leading Open Data
In five posts, I want to speculate about the next twenty years of open data based on the past twenty years of open source. The idea is to transfer what we learned from open source in one way or another to open data.
This is part 4 on creating and leading open data projects.
Continue reading “If Open Data is Like Open Source (20 Years Ago) 4/5: Creating and Leading Open Data”If Open Data is Like Open Source (20 Years Ago) 3/5: Contributing to Open Data
In five posts, I want to speculate about the next twenty years of open data based on the past twenty years of open source. The idea is to transfer what we learned from open source in one way or another to open data.
This is part 3 on contributing to open data projects.
Continue reading “If Open Data is Like Open Source (20 Years Ago) 3/5: Contributing to Open Data”If Open Data is Like Open Source (20 Years Ago) 2/5: Using Open Data
In five posts, I want to speculate about the next twenty years of open data based on the past twenty years of open source. The idea is to transfer what we learned from open source in one way or another to open data.
This is part 2 on using open data.
Continue reading “If Open Data is Like Open Source (20 Years Ago) 2/5: Using Open Data”If Open Data is Like Open Source (20 Years Ago) 1/5: Definition
In five posts, I want to speculate about the next twenty years of open data based on the past twenty years of open source. The idea is to transfer what we learned from open source in one way or another to open data.
This is part 1 on the definition of open data.
Please note that beyond this intellectual exercise, some of this is already here and some of it is simply different.
Continue reading “If Open Data is Like Open Source (20 Years Ago) 1/5: Definition”Enabling Open Innovation with Open Data using the JValue Open Data Service
Today I gave my JValue Open Data Service talk at USM (University of Sciences, Malaysia, at Penang). I am grateful for the opportunity and the recording.
Abstract: Open data has the potential to create significant practical value for its users through open innovation. Yet, to realize this value, we need an open ecosystem, next to open data, that allows app developers to create that value. In this talk I present my view of this open ecosystem of open data and how it should be structured. I then present the JValue Open Data Service (ODS), an open source software under development at my research group, that provides a key piece of this ecosystem. The goal of the JValue ODS project is to enable open innovation through app developers.
Continue reading “Enabling Open Innovation with Open Data using the JValue Open Data Service”Open Data: Source of Public Income or Invaluable Common Good?
Not surprisingly, this huddling panel at the 2018 Berlin Open Data Day came to no specific conclusion, just different opinions on business models and who should earn what income.
Some nuggets of insight: Leave it to public institutions to decide for themselves — open data should be freely available, otherwise some commercial business models break down — cities should be neutral to startups and establish collaborations for everyone’s benefit — leave it to companies to generate value from open data and they will give back #muwhaha — don’t monetarize open data at all — if users don’t pay, public institutions won’t have the funds to provide open data — open data should be considered public infrastructure and follow established practices — the data belongs to the public anyway — selling data is too expensive for a city.
In related news, some cheap laughs for public institution bashing from one panelist. Personally, I find this less than helpful.
One amusing quote from another panelist:
In theory, we all agree, in practice, we do not.
I guess more sustainability research is needed.
Impressions from the Berlin Open Data Day 2018
If you think it is funny that the German government declares itself a leader in open data, please note that verbally the slide was declared as aspirational rather than current reality.
Continue reading “Impressions from the Berlin Open Data Day 2018”
Open Data is Moving, Slowly but Surely
I’ve been participating in various workshops and working groups on open data now. It is hard scrabble, but things are moving. Today I participated in a workshop of the open data task force of Bitkom which I am a member of. The highlight of the day was the participation of Saskia Esken who explained some and handled questions and answers on the new open data for government law that is coming up in Germany.
In related news, the task force finished its open data manifest, a collection of quality attributes of what good open data are and what to ask of providers and the government. A small handbook is in work as well.