This document discusses the differences between free data and opening data. It argues that opening data, by making it available, relevant, and actionable, unlocks greater value for government and society compared to simply making data free or attempting to generate revenue directly from data. Several examples are provided of open data projects that improved government services, enabled new applications, or supported civic participation and oversight. The key is not just making data available, but making it useful and usable by others.
Open Data: Free Data Isn't the Same as Freeing Datamark madsen
Talk given at the South Tyrol Innovation conference on open data, mainly focused on government open data.
Open data doesn’t mean free data and other maunderings about public data, public goods, and networked data as a resource.
The hidden costs of open data (and how to pay for them).
Beyond transparency (which is where a lot of this started).
Open Innovation - Winter 2014 - Socrata, Inc.Socrata
As innovators around the world push the open data movement forward, Socrata features their stories, successes, advice, and ideas in our quarterly magazine, “Open Innovation.”
The Winter 2014 issue of Open Innovation is out. This special year-in-review edition contains stories about some of the biggest open data achievements in 2013, as well as expert insights into how open data can grow and where it may go in 2014.
Notes from the Observation Deck // A Data Revolution gngeorge
Notes from the Observation Deck will provide you with an examined look at the interesting phenomena and trends taking place around us today. We present them to you with the hope of sparking broader conversations, debates and ideas. Please use this as a resource for knowledge, inspiration and enjoyment.
Achieve Federal Open Data Policy Compliance - SlidesSocrata
The November 1, 2013 deadline for compliance with Executive Order 13642 and OMB Memorandum M-13-13 is fast approaching.
Get your questions answered and accelerate your implementation efforts. Attend a free webinar entitled: How to Achieve Open Data Policy Compliance with Socrata.
http://www.socrata.com/webinars/how-to-comply-with-the-federal-open-data-policy/
Open Data: Free Data Isn't the Same as Freeing Datamark madsen
Talk given at the South Tyrol Innovation conference on open data, mainly focused on government open data.
Open data doesn’t mean free data and other maunderings about public data, public goods, and networked data as a resource.
The hidden costs of open data (and how to pay for them).
Beyond transparency (which is where a lot of this started).
Open Innovation - Winter 2014 - Socrata, Inc.Socrata
As innovators around the world push the open data movement forward, Socrata features their stories, successes, advice, and ideas in our quarterly magazine, “Open Innovation.”
The Winter 2014 issue of Open Innovation is out. This special year-in-review edition contains stories about some of the biggest open data achievements in 2013, as well as expert insights into how open data can grow and where it may go in 2014.
Notes from the Observation Deck // A Data Revolution gngeorge
Notes from the Observation Deck will provide you with an examined look at the interesting phenomena and trends taking place around us today. We present them to you with the hope of sparking broader conversations, debates and ideas. Please use this as a resource for knowledge, inspiration and enjoyment.
Achieve Federal Open Data Policy Compliance - SlidesSocrata
The November 1, 2013 deadline for compliance with Executive Order 13642 and OMB Memorandum M-13-13 is fast approaching.
Get your questions answered and accelerate your implementation efforts. Attend a free webinar entitled: How to Achieve Open Data Policy Compliance with Socrata.
http://www.socrata.com/webinars/how-to-comply-with-the-federal-open-data-policy/
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...Daniel Katz
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and the Modern Information Economy - By Michael Bommarito + Daniel Martin Katz from LexPredict
Cyber break-ins are affecting the private and public sectors at an alarming rate. In fact, intrusions in the federal systems alone saw a 1,121% increase from 2006 to 2014. To address this issue, we partnered with the Partnership for Public Service to publish “Cyber In-Security: Closing the Federal Gap.” This new report outlines the challenges faced by the federal government in building an enterprise-wide, first-class cybersecurity workforce and offers recommendations for a total workforce solution.
My presentation to the XBRL 23 conference, in which I outlined my vision of the "One Report," in which companies would manage internal reporting on a real-time basis using XBRL Global Ledger, then seamlessly compile government & other external reports.
Open Data Value Framework: Open Data's Four Pillars of ValueSocrata
McKinsey Global Institute estimates that government organizations together can generate $3 trillion dollars in value for themselves and their taxpayers through open data and information transparency initiatives.
Yes, that's a staggering number, but governments like yours are realizing pieces of it already. Are you taking advantage of the enormous economic and social impacts of information transparency?
Review these webinar slides to learn more about the four pillars of value that are reshaping how government thinks not only about open data, but how it's applied and leveraged to cut costs and significantly increase government efficiency.
In these slides you will learn:
-How to immediately start cutting costs and increasing operational efficiency
-How your peers have already implemented similar programs
-How to get get approval and get going quickly
Don't miss out on your piece of the $3 trillion windfall.
O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolrVasu S
An O'Reilly eBook about Creating a Data-Driven Enterprise in Media DataOps Insights from Comcast, Sling TV, and Turner Broadcasting.
https://www.qubole.com/resources/ebooks/ebook-creating-a-data-driven-enterprise-in-media
The objective of this module is to provide an overview of the basic information on big data.
Upon completion of this module you will:
-Comprehend the emerging role of big data
-Understand the key terms regarding big and smart data
- Know how big data can be turned into smart data
- Be able to apply the key terms regarding big data
Duration of the module: approximately 1 – 2 hours
Artificial Intelligence and Law - A Primer Daniel Katz
Artificial Intelligence in Law (and beyond) including Machine Learning as a Service, Quantitative Legal Prediction / Legal Analytics, Experts + Crowds + Algorithms
My presentation to "Transparency Camp 09", about how to go beyond transparency to an integrated strategy based on "democratizing data" (structuring and syndicating it and providing social media analysis tools to share it). This integrated strategy will provide transparency, give workers the real-time information they need, reform government regulation, cut corporate paperwork, and crowdsource innovation. It may, or may not, cure the common cold under certain conditions.
Great quotes from historical leading thinkers (Einstein) to contemporary (Tim O’Reilly & DJ Patil) have to say about the power, use and analysis of data.
Big Data Pushes Enterprises into Data-Driven Mode, Makes Demands for More App...Dana Gardner
Transcript of a BriefingsDirect podcast on how creating big-data capabilities are new top business imperatives in dealing with a flood of data from disparate sources.
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...Daniel Katz
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and the Modern Information Economy - By Michael Bommarito + Daniel Martin Katz from LexPredict
Cyber break-ins are affecting the private and public sectors at an alarming rate. In fact, intrusions in the federal systems alone saw a 1,121% increase from 2006 to 2014. To address this issue, we partnered with the Partnership for Public Service to publish “Cyber In-Security: Closing the Federal Gap.” This new report outlines the challenges faced by the federal government in building an enterprise-wide, first-class cybersecurity workforce and offers recommendations for a total workforce solution.
My presentation to the XBRL 23 conference, in which I outlined my vision of the "One Report," in which companies would manage internal reporting on a real-time basis using XBRL Global Ledger, then seamlessly compile government & other external reports.
Open Data Value Framework: Open Data's Four Pillars of ValueSocrata
McKinsey Global Institute estimates that government organizations together can generate $3 trillion dollars in value for themselves and their taxpayers through open data and information transparency initiatives.
Yes, that's a staggering number, but governments like yours are realizing pieces of it already. Are you taking advantage of the enormous economic and social impacts of information transparency?
Review these webinar slides to learn more about the four pillars of value that are reshaping how government thinks not only about open data, but how it's applied and leveraged to cut costs and significantly increase government efficiency.
In these slides you will learn:
-How to immediately start cutting costs and increasing operational efficiency
-How your peers have already implemented similar programs
-How to get get approval and get going quickly
Don't miss out on your piece of the $3 trillion windfall.
O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolrVasu S
An O'Reilly eBook about Creating a Data-Driven Enterprise in Media DataOps Insights from Comcast, Sling TV, and Turner Broadcasting.
https://www.qubole.com/resources/ebooks/ebook-creating-a-data-driven-enterprise-in-media
The objective of this module is to provide an overview of the basic information on big data.
Upon completion of this module you will:
-Comprehend the emerging role of big data
-Understand the key terms regarding big and smart data
- Know how big data can be turned into smart data
- Be able to apply the key terms regarding big data
Duration of the module: approximately 1 – 2 hours
Artificial Intelligence and Law - A Primer Daniel Katz
Artificial Intelligence in Law (and beyond) including Machine Learning as a Service, Quantitative Legal Prediction / Legal Analytics, Experts + Crowds + Algorithms
My presentation to "Transparency Camp 09", about how to go beyond transparency to an integrated strategy based on "democratizing data" (structuring and syndicating it and providing social media analysis tools to share it). This integrated strategy will provide transparency, give workers the real-time information they need, reform government regulation, cut corporate paperwork, and crowdsource innovation. It may, or may not, cure the common cold under certain conditions.
Great quotes from historical leading thinkers (Einstein) to contemporary (Tim O’Reilly & DJ Patil) have to say about the power, use and analysis of data.
Big Data Pushes Enterprises into Data-Driven Mode, Makes Demands for More App...Dana Gardner
Transcript of a BriefingsDirect podcast on how creating big-data capabilities are new top business imperatives in dealing with a flood of data from disparate sources.
Sogeti on big data creating clarity - Report 1-4 on Big Data - Sogeti ViNTRick Bouter
Since 2005, when the term “Big Data” was launched, Big Data has become an increasingly topical theme. In terms of technological development and business adoption, the domain of Big Data has made powerful advances; and that is putting it mildly.
In this initial report on Big Data, the first of four, we give answers to questions concerning what exactly Big Data is, where it differs from existing data classification, how the transformative potential of Big Data can be estimated, and what the current situation (2012) is with regard to adoption and planning.
VINT attempts to create clarity in these developments by presenting experiences and visions in perspective: objectively and laced with examples. But not all answers, not by a long way, are readily available. Indeed, more questions will arise – about the roadmap, for example, that you wish to use for Big Data. Or about governance. Or about the way you may have to revamp your organization. About the privacy issues that Big Data raises, such as those involving social analytics. And about the structures that new algorithms and systems will probably bring us.
http://www.ict-books.com/books/inspiration-trends
Web scraping, a technique to extract data from websites, plays a pivotal role in gathering information from government sites and the public sector. This data holds immense value for making informed decisions across various industries and enhancing public services.
Government websites are treasure troves of information, offering insights into policies, regulations, public spending, demographics, and more. By scraping data from these sources, analysts can monitor changes in legislation, track government expenditures, and identify emerging trends.
For example, in healthcare, web scraping can be used to collect data on public health initiatives, disease outbreaks, hospital performance metrics, and pharmaceutical regulations. Analyzing this data enables policymakers and healthcare providers to allocate resources effectively, improve patient care, and develop targeted interventions.
Similarly, in finance and economics, scraping data from government websites provides access to economic indicators, budget allocations, trade statistics, and labor market trends. This information aids investors, economists, and businesses in making strategic decisions, assessing market conditions, and forecasting economic trends.
In the education sector, web scraping facilitates the collection of data on school enrollment, academic performance, funding allocations, and educational policies. This data helps education policymakers, administrators, and researchers identify areas for improvement, allocate resources efficiently, and implement evidence-based reforms.
Furthermore, web scraping empowers governments and organizations to enhance public services by gathering feedback and sentiment data from social media, forums, and review websites. Analyzing this data enables policymakers to understand public opinion, identify issues, and address citizen concerns effectively.
However, web scraping also raises ethical and legal considerations, especially when scraping data from government websites. It's crucial to ensure compliance with data protection regulations, respect website terms of service, and obtain consent when necessary. Additionally, data quality and accuracy must be carefully evaluated to prevent misinformation and bias in decision-making processes.
In conclusion, web scraping plays a vital role in collecting data from government sites and the public sector to inform decision-making and enhance public services across various industries. By leveraging this technique responsibly, organizations can gain valuable insights to drive positive change and improve societal outcomes.
Since 2005, when the term “Big Data” was launched, Big Data has become an increasingly topical theme. In terms of technological development and business adoption, the domain of Big Data has made powerful advances; and that is putting it mildly.
In this initial report on Big Data, the first of four, we give answers to questions concerning what exactly Big Data is, where it differs from existing data classification, how the transformative potential of Big Data can be estimated, and what the current situation (2012) is with regard to adoption and planning.
VINT attempts to create clarity in these developments by presenting experiences and visions in perspective: objectively and laced with examples. But not all answers, not by a long way, are readily available. Indeed, more questions will arise – about the roadmap, for example, that you wish to use for Big Data. Or about governance. Or about the way you may have to revamp your organization. About the privacy issues that Big Data raises, such as those involving social analytics. And about the structures that new algorithms and systems will probably bring us.
http://www.ict-books.com/books/inspiration-trends
Data privacy awareness is on the rise. Users become more and more concerned with how online service providers collect and protect their personal information. And so should you. Discover how to balance the risks and benefits of collecting data in the age of customer centricity.
The success of an organization increasingly depends on their ability to draw conclusions regarding the various types of data available. Staying ahead of competitors requires many times to identify a trend, problem or opportunity microseconds before anyone else. That's why organizations must be able to analyze this information if they want to find insights that will help them to identify new opportunities underlying this phenomenon.
People are spontaneously uploading large amounts of information on the internet and this represents a great opportunity for companies to segment according to their behavior and not only socio-demographic factors. Companies store transactional information from their customers by making them fill in forms but the challenge for brands is to enrich these databases with information describing their customer’s behavior and daily habits. This info can be obtained through the online conversation and can be processed, crossed and enriched with many other types of information through different models based on Big Data. Following this procedure, we can complement the information we already have from our customers without having to ask them directly and therefor providing more value-added proposals to clients from a brand perspective.
Using the same technology with the right platform and the correct tactic, companies can achieve more ambitious goals that provide valuable information for the brand, which in turn could also enrich the customer’s experience, improving the customer journey for all types of clients.
less
Presentation on open data to the Association for Local Government IT Managers in New Zealand, 23 Nov 2010. Covers examples of open data applications, and what they in local government IT can be doing.
Noggin - World's first marketplace for Personal DataNoggin Asia
Direct marketing is expensive; and customer details are usually unknown. Customer on other hand is worried about personal data. Noggin is a marketplace to connect these two. Discover us at www.nogginasia.com. Consumers can earn by sharing personal data
Is Dirty Data Clogging your Marketing Engine? Do what high performance companies do; implement a data management program with InsideView. The sooner you do, the lower the cost.
In this paper, I talk about three distinct areas: Big Data, Crowdsourcing, and Public Sector. Each of the these areas is vast on its own but through this paper I want to argue that it is the intersection of the three which offers unique and immense possibilities that can truly make the world a better place.
Data Mining vs Data Analysis: The Key Differences You Should Knowcalltutors
Are you interested in knowing the comparison between Data Mining vs Data Analysis? If yes, then here you will know about Data Mining vs Data Analysis in detail.
Similar to Free Data Isn't the Same as Freeing Data - Mark Madsen - Third nature, USA (20)
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
When stars align: studies in data quality, knowledge graphs, and machine lear...
Free Data Isn't the Same as Freeing Data - Mark Madsen - Third nature, USA
1. Free
Data
Isn’t
the
Same
as
Freeing
Data
September,
2013
Mark
Madsen
www.ThirdNature.net
@markmadsen
2. Copyright
Third
Nature,
Inc.
A
Quick
Intro
One
of
my
past
jobs…
In
some
ways
it
was
similar
to
how
people
view
open
data:
get
free
puppies
and
sell
grown
dogs.
But
selling
data
like
a
data
syndicator
is
a
bad
model
for
public
data.
3. Copyright
Third
Nature,
Inc.
Some
of
the
secrets
in
this
session
Open
data
does
not
always
mean
free
data.
Open
data
=
beKer
government
When
you
open
data
you
unlock
value
in
the
market
that
is
more
important
than
gaining
revenue
directly.
4. Copyright
Third
Nature,
Inc.
Some
open
data
examples
These
projects
fall
into
a
few
different
types:
▪ Make
data
available
▪ Make
data
pre*y
▪ Make
data
ac-onable
8. Copyright
Third
Nature,
Inc.
Publicdata.eu
Sample
app
showing
staNsNcal
data.
AKracNve,
but
how
useful?
9. Copyright
Third
Nature,
Inc.
Open
data
app
<>
“make
data
preKy”
There’s
more
to
data
than
simply
showing
numbers.
e.g.
many
“data
+map”
applicaNons
If
your
data
looks
like
the
populaNon,
you
haven’t
found
the
relevant
parts
yet.
10. Copyright
Third
Nature,
Inc.
What’s wrong with the
City of Oakland
CrimeWatch web site?
Figuring out what to do
Doing it once you figure
out how
Many problems with:
Navigation
Control
Display
Exceptions
City
of
Oakland
Crimewatch
And the reported price was over a quarter of a
million dollars for the city, plus annual maintenance.
15. Copyright
Third
Nature,
Inc.
MassachuseKs
Bay
Transit
Authority
(MBTA)
Actionable, immediate
16. Copyright
Third
Nature,
Inc.
MBTA:
Why
not
sell
the
data?
Does
the
government
know
how
to
be
in
the
business
of
selling
data?
What
data
is
valuable
and
what
isn’t?
How
to
price
it?
How
to
negoNate
the
contracts?
PrivaNzing
data
is
almost
always
bad:
▪ Translink
in
Vancouver
sold
their
transit
data
to
Google.
Now
they
have
no
transit
applicaNons
and
can’t
make
any.
▪ Admin
Office
of
the
US
Courts,
spent
$30M
to
get
digital
access
to
its
own
records,
that
it
sold
for
less
▪ Same
office
paying
$156M
to
publish
the
same
material
online
▪ The
US
GAO
and
Thomson
West
legislaNve
history,
similar
tale
▪ Amazon
and
the
US
naNonal
archives
videos,
similar
tale
▪ WestLaw
and
LexisNexis
make
~$2B
annually
from
this
data
19. Copyright
Third
Nature,
Inc.
Value
from
open
data:
Private
is
a
cost
Available
is
good
Relevant
is
beKer
AcNonable
is
best
20. Copyright
Third
Nature,
Inc.
The
benefits
of
open
data
fit
into
a
few
categories:
Tangible,
direct:
▪ Save
money
–
less
work,
lowered
cost
of
service
▪ Make
money
–
direct
revenue
(unlikely)
Intangible,
indirect:
▪ Improved
services
▪ Civil
/
Social
▪ Indirect
revenue
and
benefits
through
market
growth
or
market
efficiencies
24. Copyright
Third
Nature,
Inc.
Delivering
data
consistently
isn’t
always
simple
Most
IT
organizaNons
have
the
skills
and
tools
to
extract
and
publish
data.
Most
do
not
have
the
skills
and
tools
to
create
applicaNons
on
the
data.
Anthony David Giordano
25. Copyright
Third
Nature,
Inc.
Who
bears
the
cost?
Supplier
Producer
Consumer
The
cost
quesNon
is
a
red
herring:
different
parNes
benefit
based
on
their
parNcipaNon,
and
costs
vary
by
party.
26. Copyright
Third
Nature,
Inc.
The
Economics
of
Scarcity
is
About
Rivalry
for
Resources
Rivalry:
the
more
I
use
the
less
you
have.
Data
is
not
a
finite
resource.
Exclusion:
intellectual
property
law
is
exclusion;
you
can’t
use
it
unless
you
pay
me
first
27. Copyright
Third
Nature,
Inc.
The
Economics
of
Networked
Data
Require
New
Principles
An@-‐rivalry:
there
is
no
consumpNon,
only
use.
Open
licensing
is
a
way
of
addressing
the
change
in
this
dynamic.
Inclusivity:
the
network
effects
of
inclusion
mean
more
use
=
more
value;
and
as
cost
goes
down,
usage
and
value
go
up.
Open
data
value
is
driven
by
network
effects
29. Copyright
Third
Nature,
Inc.
Which
would
you
rather
have?
Open
data
can
make
the
pie
larger,
parNcularly
for
markets
with
many
parNcipants,
like
regional
tourism.
The
ra@onale
for
sharing
and
collabora@ng:
open
data
is
not
a
zero-‐sum
game
30. Copyright
Third
Nature,
Inc.
For
most
public
data,
public
domain
Open
data
licensing
creates
a
network
resource
rather
than
an
arNficially
limited
resource.
With
completely
open
licensing,
there
is
the
possibility
for
many
people
to
explore
and
innovate,
more
quickly,
resulNng
in
more
chances
to
find
the
value
in
data.
31. Copyright
Third
Nature,
Inc.
How
do
you
get
a
fancy
open
data
app?
You
build
it
yourself.
▪ Aler
training
or
hiring
the
staff
and
acquiring
the
technology
to
do
it
repeatably
and
at
scale.
32. Copyright
Third
Nature,
Inc.
How
do
we
get
a
fancy
open
data
app?
You
hire
a
vendor
to
build
it
for
you.
▪ Oakland
showed
how
well
that
usually
works.
▪ If
you
don’t
have
the
skills
to
do
something,
you
may
not
have
the
skills
to
evaluate
the
vendor
doing
it
either.
33. Copyright
Third
Nature,
Inc.
How
do
we
get
a
fancy
open
data
app?
You
open
the
data
and
someone
else
writes
it
for
you.
And
then
someone
else
builds
a
beKer
one.
34. Copyright
Third
Nature,
Inc.
The
government’s
job
isn’t
to
be
a
for-‐profit
business.
It’s
to
maintain
the
infrastructure
of
a
society.
Open
data
can
make
government
more
effecNve,
creaNng
a
public
good.
35. Copyright
Third
Nature,
Inc.
Some
references
Sharing
data
on
the
open
web
-‐
hKps://bmark.us/bmark/
readable/88ce9a65bebc38
ExtracNng,
Linking
and
IntegraNng
Data
from
Public
Sources:
A
Financial
Case
Study,
IEEE
Data
Engineering,
September,
2011
Business
Models
for
PSI
Re-‐Use:
A
MulNdimensional
Framework,
Enrico
Ferro,
Michele
Osella,
IsNtuto
Superiore
Mario
Boella,
Via
Boggio,
61
–
10138
Torino,
Italy
OpendefiniNon.org
36. Copyright
Third
Nature,
Inc.
CC
Image
AKribu@ons
Thanks
to
the
people
who
supplied
the
creaNve
commons
licensed
images
used
in
this
presentaNon:
dog_peek_fence_bw.jpg
-‐
hKp://www.flickr.com/photos/roome/3031410585/
shady_puppy_sales.jpg
-‐
hKp://www.flickr.com/photos/brizzlebornandbred/5001120150
child_whisper.jpg
-‐
hKp://www.flickr.com/photos/cannonball_jane/120325556/
XKCD
Heatmap
-‐
hKp://xkcd.com/1138/
school
small
world
bank
hKp://www.flickr.com/photos/worldbank/2765585037/sizes/o/
beer_free_beer2.jpg
-‐
hKp://flickr.com/photos/fzero/173386050
laptop
face.jpg
-‐
hKp://flickr.com/photos/sd/7746599/
child_alone.jpg
-‐
hKp://flickr.com/photos/beija-‐flor/129669668/
children
playing.jpg
-‐
hKp://www.flickr.com/photos/beija-‐flor/52292046/
