This document discusses open government and open data principles. It outlines seven principles of open data: making data public, accessible, described, reusable, complete, timely, and managed post-release. It also discusses making datasets and their inventories machine readable by default. Government agencies should plan for openness from the start, integrate openness into their activities, and support implementation of open data programs. The document provides resources for learning more about open government and open data standards.
Edward Perello, CBO of Desktop Genetics, joins us at the Science: Disrupt London Session on Disruptor Stories to talk machine learning, CRSIPR, pivoting and his startup story.
State management can get really complex for scaled Angular applications. And, NgRx can be an answer for the complexity of this problem. This talk will cover some of the best practices of building an NgRx Angular app. We'll go through building a good action hygiene, efficiently using schematics, improving your apps performance with one-way data binding and memoized selectors, reducing the boilerplate with entities/schematics and introducing ngrx-data. After this session, you'll have more control on the NgRx platform with the grasp of entities, memoized selectors, effects and schematics.
Edward Perello, CBO of Desktop Genetics, joins us at the Science: Disrupt London Session on Disruptor Stories to talk machine learning, CRSIPR, pivoting and his startup story.
State management can get really complex for scaled Angular applications. And, NgRx can be an answer for the complexity of this problem. This talk will cover some of the best practices of building an NgRx Angular app. We'll go through building a good action hygiene, efficiently using schematics, improving your apps performance with one-way data binding and memoized selectors, reducing the boilerplate with entities/schematics and introducing ngrx-data. After this session, you'll have more control on the NgRx platform with the grasp of entities, memoized selectors, effects and schematics.
Open Source for Enterprise: Architecting Digital Change. Reading Room
Digital is a strategic competency, not just another channel for your company marketing message.
How can your company use the nature of Open Source as a strategy to cope with change.
Government Data Exchange and Open Government Data PlatformAnveshi Gutta
Governments worldwide have heaps and heaps of data that is
accumulated every minute across different domains - transport,
traffic, public safety, weather, utilities, urban development et al.
This data is growing at a rapid rate as
Governments launch new services and attempt to drive more
inclusiveness for the existing services.
At the same time, Government agencies have been guilty of
working in silos and having very limited cross-agency visibility
and coordination. This observation magnifies itself in the
Emerging markets. In most cases, it is the citizen who bears
the brunt due to an absolute lack of citizen-centricity.
This presentation was delivered at Open Group Conference as an attempt to provide guidance on how governments can adopt a transformation journey that drives value generation from the data that has always been there.
Forecast Pro offers a comprehensive portfolio of tools for solving a wide range of forecasting challenges. Whether you are looking for just the basics or need advanced forecasting techniques and analytics, Forecast Pro has the right tools for you. As a recognized Forecast Pro partner, Valtitude provides rapid implementation for Forecast Pro TRAC in as little as five weeks.
ACMP Canada - Transforming Traditional Approaches to ChangeJason Little
Much of what we know about change is based on models designed in a different era. Things are different today, and there are more modern approaches we can take for how we approach change.
Introducing catalyst.ai and MACRA Measures & InsightsHealth Catalyst
Join Eric Just, Senior Vice President of Product Development, as he will discuss:
How machine learning is now included into our analytics platform and being built into all our applications.
The toolsets we have developed to automate and democratize machine learning tasks both within Health Catalyst clients and to the broader healthcare industry.
Processes to gain clinician buy-in, and engage the best machine learning engine in the world.
Demonstrations and examples of this life-saving technology.
Dorian DiNardo, Vice President, will share how the Health Catalyst® MACRA Measures & Insights product can help you:
Integrate hundreds of measures across financial, regulatory, and quality departments.
Monitor the behavior, activities, and other changing information needed to influence, manage, or change outcomes.
Tactically and strategically identify measures to take on risk in multi-year value-based care contracts.
Systems Design and Workflow
Consider a clinical process or task that you perform on a frequent basis. Do you do it the same every time? Why do you proceed the way you do? Habit? Protocol? Each day nurses complete certain tasks that are considered routine, but have you ever stopped to reflect on why things are done the way they are? Perhaps you have noticed areas where there is a duplication of efforts or an inefficient use of time. Other tasks might pass seamlessly from person to person. In order to design the most efficient flow of work through an organization, it is useful to understand workflow and the ways it can be structured for the most optimal use of time and resources.
Creating a Flowchart
Workflow analysis aims to determine workflow patterns that maximize the effective use of resources and minimize activities that do not add value. There are a variety of tools that can be used to analyze the workflow of processes and clarify potential avenues for eliminating waste. Flowcharts are a basic and commonly used workflow analysis method that can help highlight areas in need of streamlining.
In this Assignment, you select a common event that occurs regularly in your organization and create a flowchart representing the workflow. You analyze the process you have diagrammed and propose changes for improvement.
To prepare:
· Identify a common, simple event that frequently occurs in your organization that you would like to evaluate.
· Consider how you would design a flowchart to represent the current workflow.
· Consider what metrics you would use to determine the effectiveness of the current workflow and identify areas of waste.
To complete:
Write a 3- to 5-page paper which includes the following:
· Create a simple flowchart of the activity you selected. (Review the Sample Workflow of Answering a Telephone in an Office document found in this week’s Learning Resources for an example.)
· Next, in your paper:
o Explain the process you have diagrammed.
o For each step or decision point in the process, identify the following:
§ Who does this step? (It can be several people.)
§ What technology is used?
§ What policies and rules are involved in determining how, when, why, or where the step is executed?
§ What information is needed for the execution of this step?
o Describe the metric that is currently used to measure the soundness of the workflow. Is it effective?
o Describe any areas where improvements could occur and propose changes that could bring about these improvements in the workflow.
o Summarize why it is important to be aware of the flow of an activity.
Learning Resources
Required Readings
McGonigle, D., & Mastrian, K. G. (2015).
Nursing informatics and the foundation of knowledge
(3rd ed.). Burlington, MA: Jones and Bartlett Learning.
Chapter 14, “Nursing Informatics: Improving Workflow .
How Big Data can drive innovative technologies and new approaches in large or...Nick Brown
Presentation by Nick Brown at Big Data in Paris on 8th March 2016. Overview about how we have developed a big data engine around search and unstructured content (with Sinequa) and how this has lead to innovating with mobility, user experience and digital health initiatives. Also provides access to our PitchIT open innovation site.
[DevDay 2016] DevOps – How to push code to production fast -Speaker: Daniel G...DevDay.org
Let’s take a look at the journey of a piece of code, from the developer’s workbench to the hand of our users. What adventures and challenges do we have to master to succeed in fast, frequent and stable releases? How does this influence our team and company culture?
———
Speaker: Daniel Gauch – Head of Development & Vice President at AXON IVY AG
Financial Assets: Debit vs Equity Securities.pptxWrito-Finance
financial assets represent claim for future benefit or cash. Financial assets are formed by establishing contracts between participants. These financial assets are used for collection of huge amounts of money for business purposes.
Two major Types: Debt Securities and Equity Securities.
Debt Securities are Also known as fixed-income securities or instruments. The type of assets is formed by establishing contracts between investor and issuer of the asset.
• The first type of Debit securities is BONDS. Bonds are issued by corporations and government (both local and national government).
• The second important type of Debit security is NOTES. Apart from similarities associated with notes and bonds, notes have shorter term maturity.
• The 3rd important type of Debit security is TRESURY BILLS. These securities have short-term ranging from three months, six months, and one year. Issuer of such securities are governments.
• Above discussed debit securities are mostly issued by governments and corporations. CERTIFICATE OF DEPOSITS CDs are issued by Banks and Financial Institutions. Risk factor associated with CDs gets reduced when issued by reputable institutions or Banks.
Following are the risk attached with debt securities: Credit risk, interest rate risk and currency risk
There are no fixed maturity dates in such securities, and asset’s value is determined by company’s performance. There are two major types of equity securities: common stock and preferred stock.
Common Stock: These are simple equity securities and bear no complexities which the preferred stock bears. Holders of such securities or instrument have the voting rights when it comes to select the company’s board of director or the business decisions to be made.
Preferred Stock: Preferred stocks are sometime referred to as hybrid securities, because it contains elements of both debit security and equity security. Preferred stock confers ownership rights to security holder that is why it is equity instrument
<a href="https://www.writofinance.com/equity-securities-features-types-risk/" >Equity securities </a> as a whole is used for capital funding for companies. Companies have multiple expenses to cover. Potential growth of company is required in competitive market. So, these securities are used for capital generation, and then uses it for company’s growth.
Concluding remarks
Both are employed in business. Businesses are often established through debit securities, then what is the need for equity securities. Companies have to cover multiple expenses and expansion of business. They can also use equity instruments for repayment of debits. So, there are multiple uses for securities. As an investor, you need tools for analysis. Investment decisions are made by carefully analyzing the market. For better analysis of the stock market, investors often employ financial analysis of companies.
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
How to get verified on Coinbase Account?_.docxBuy bitget
t's important to note that buying verified Coinbase accounts is not recommended and may violate Coinbase's terms of service. Instead of searching to "buy verified Coinbase accounts," follow the proper steps to verify your own account to ensure compliance and security.
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and pioneers and resell them to Investors looking forward to hold massive amounts before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade pi coins with.
@Pi_vendor_247
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
However, the developers are working hard to get them released as soon as possible.
Once they are available, users will be able to exchange other cryptocurrencies for Pi coins on designated exchanges.
But for now the only way to sell your pi coins is through verified pi vendor.
Here is the telegram contact of my personal pi vendor
@Pi_vendor_247
20. Machine Readable Default
Dataset Inventories
Plan for Openness from the Beginning
Integrate Openness into
Agency Activities
Support for Implementation
21. Machine Readable Default
Dataset Inventories
Plan for Openness from the Beginning
Integrate Openness into
Agency Activities
Support for Implementation
22. Machine Readable Default
Dataset Inventories
Plan for Openness from the Beginning
Integrate Openness into
Agency Activities
Support for Implementation
23. Machine Readable Default
Dataset Inventories
Plan for Openness from the Beginning
Integrate Openness into
Agency Activities
Support for Implementation
29. Resources
Center for Effective Government (Formerly OMB Watch)
http://www.foreffectivegov.org/
National Archives and Records Administration – Open Government
http://www.archives.gov/open/
Data.gov
http://www.data.gov
Project Open Data
http://project-open-data.github.io/
Open Government Partnership
http://www.opengovpartnership.org/
Open Government: Collaboration, Transparency, and Participation in Practice
Edited by Daniel Lathrop and Laurel Ruma
Editor's Notes
Intro
Government transparency, accountability and efficiency are always important, but look no further than the headlines on the NSA wiretapping scandal and the Obamacare marketplace roll out to know that technology is an growing part of the conversation about good governance
Computing has changed the landscape of private and public sectors – the public now expects easy, digital access. This is a challenge for all service providers – including the government
Balancing privacy and access to information is one of the biggest challenges of our times. It will require creative solutions from business and government.
What is open government? It is the radical notion that citizens have the right to access the documents and proceedings of the government to allow for effective public oversight. It is a basic tenant of representative democracy.
As society becomes more digital, so does government – and the data that government agencies create and collect
Making public data more accessible provides the public with information about product safety, environmental conditions, government spending, and other issues that directly affect their lives.
Isn't government already open? Many would argue, myself included, that it's not open enough
Traditional mechanisms for sharing government information – such as scheduled reporting (exp – federal register, congressional quarterly) and Freedom of Information Act requests are out of step with technology and citizen expectations. Government needs reforms to modernize its information practices and reduce the bureaucratic inertia that too often leaves valuable public information locked away.
Open Government is an International movement that's grown with the internet
The US is one of 62 countries participating in The Open Government Project, an international platform for reformers committed to making their governments more open, accountable, and responsive to citizens.
Our Federal Government is taking steps towards better governance – and transparency - in the digital age
On May 23, 2012, President Obama issued a directive entitled “Building a 21st Century Digital Government.” The Administration launched a comprehensive Digital Government Strategy aimed at delivering better digital services – and more transparent governance - to the American people.
Another objective of the Digital Government Strategy is to “Unlock the power of government data to spur innovation.”
Private sector can turn public data into useful – and marketable – products
Example: Weather.com – built on government weather data
Other potential data products:
Optimizing Census Bureau statistics for marketers
Value-added Commerce Department data for exporters
Cross-referenced Housing and Urban Development Department information for building contractors, mortgage brokers and insurance adjusters
Indexed Federal code for retention schedule management software
Open government sounds good – so how does the government “open up” exactly?
The key is Open Data
What is open data? In a nutshell, open data is: available, discoverable, and (re)usable
The Center for Effective Government identifies
7 Principles of open data – I'll review them quickly because they are so key to understanding how sustainably collected public data is so important to the success of open government:
Open Data are:
1. Public. Agencies must shift their thinking about their data. Agencies must assume that all data they create and gather should be open to the public unless there are specific legal or security restrictions on the information. This is a significant shift for many parts of the government.
Open Data are:
2. Accessible. Open data are made available in convenient, modifiable, and open digital formats that can be retrieved, downloaded, indexed, and searched. To the extent permitted by law, these formats should be non-proprietary, and no restrictions should be placed upon their use.
Open Data are:
3. Described.It's impossible to repurpose data if you don't know what you're looking at. Describing datasets involves the use of robust, granular metadata (i.e., fields or elements that describe data), thorough documentation of data elements, creation of data dictionaries, and, if applicable, additional descriptions of the purpose of the collection, the population of interest, the characteristics of the sample, and the method of data collection.
Open Data are:
4. Reusable. Open data are made available under an open license that places no restrictions on their use. This is entirely feasible because all federal work product is exempt from copyright
Open Data are:
5. Complete. Open data are published in their primary forms, with the finest possible level of granularity that is practicable and permitted by law and other requirements. Access to a report is great, but access to the original dataset allows researchers, watchdogs, and businesses to verify findings, and work with data in new ways.
Open Data are:
6. Timely. Open data are made available as quickly as necessary to preserve the value of the data. Frequency of release should account for key audiences and downstream needs.
Open Data are:
7. Managed Post-Release. A point of contact must be designated to assist with data use and to respond to complaints about adherence to these open data requirements.
Where is the federal government in terms of “opening up”? A variety of websites have launched in recent years, offering greater access to.
Data.gov shows significant progress towards more transparent, participatory, and collaborative approach the agency data?
Data.gov was launched May 2009, with a staff of 5 – to serve as liasons between agencies and developers looking for data
Data.gov staff work with 400 “data stewards” across 175 agencies and subagencies – they have posted 91,071 unique datasets.
Some of these datasets have been used by government and non-profits to develop hundreds of mobile and desktop applications.
Agencies have a lot of their plates - what is the driver for government-wide implementation?
In May 2013, President Obama signed Executive Order 13642 titled, “Making Machine Readable the New Default for Government information”. The new policy builds off previous data and web policy reforms instituted by the Obama administration.
This is a very exciting policy directive, with a painfully dull name – essentially, “Machine readable default” means that creating – and sharing – government data is the new standard opeating procedure for agencies.
The executive order sets a number of deliverables for federal agencies
The policy requires
1. Dataset Inventories: by this month (Nov 2013), agencies prepare and make public an inventory of agency datasets. The inventory will indicate whether the data can be made public and whether it is currently available. In addition, the policy requires agencies to consult with the public to determine priorities for expanding and improving available data. Currently, there is a “chicken-and-egg problem that leaves the public unable to provide input on which agency datasets should be released first because the we don't know what datasets agencies possess.
The policy requires
2. a Plan for Openness from the Beginning: Agencies need to plan from the earliest stages of data collection for public use and reuse of data down the road. This means that agencies will need to plan their IT systems with access in mind. This will require significant investment in system re-design for some agencies.
The policy requires
3. Agencies to Integrate Openness into their Activities, such as strategic planning and performance reporting. The policy also addresses potential challenges – for instance, by noting that thoughtful planning for openness may cost more upfront but should be considered a capital investment because it will result in long-term savings to the agency.
The policy provides
4. Support for Implementation: The Machine Readable Default order created Project Open Data to provide a resources to agencies, including checklists, specific guidelines, and ready-to-use software. Also, the inter-agency CIO Council will create a working group to assist and encourage agencies in implementing the new policy. This will ensure that agencies with limited resources or technical know-how will have outside support in complying with these requirements.
I want to share a bit more on Project Open Data, because it's pretty cool.
Project Open Data is a public-private partnership: (PeaceCorps for Programmers)
It uses Github, a content repository management service that provides version control for collaborative code development and revision
It's a web-portal for programmers – some working for government, some volunteering their time and expertise - to develop software tools to implement the Open Government Directive in federal agencies.
Project Open Data is a collaborative work — commonly known as “open source” — and is supported by the efforts of an entire community.
Project Open Data may seem like a pie in the sky idea, but this collaborative “crowd source” model of volunteer cod-development has led to many stable, usable, and cost-affective software products – including these.
At the onset, the General Services Administration will provide daily oversight and support for Project Open Data, but over time, the GSA hopes that contributors both inside and outside of government will be empowered to take on additional leadership roles.
Moving towards open government is challenging. It requires a shift in the culture and philosophy of agencies, and a re-tooling of IT systems and procedures.
It is important to keep in mind that some government limitations are legitimate For example, government oversight and review take time - procedural delays in data for QA, aggregating data to protect private/sensitive personal data, ADA compliance, National Security Council review. These are all things we WANT gov't to do before releasing data!
Also, Agencies have shown variable interest in making their data open – for example, the EPA and NARA are very motivated, because data-sharing is consistent with their missions.
I've presented a lot of information. What I would like to you to take away is this:
Open data solutions are the best path towards open, accountable government.
Proprietary software firms often do not provide open data-friendly solutions
Embracing – and cultivating - opensource, non-proprietary software is the key for making- and keeping – government and its data open.
These solutions can be MUCH cheaper “out of the box,” but they require dedicated IT staff to support users
What will happen in federal open government initiatives in the future? Stay tuned!
The only constant in government is change
Amazon and Google have set the bar for customer experience online. The public has high expectations, and poor understanding of “how the sausage is made.” This is governance in a nutshell!
If government is going to fulfill citizen expectations, governments will need to employ – and support - more IT and IG professionals
I'll close with something close to home - State Reps Mike Duffey and Christina Hagan submitted four bills on October 28th to create a home-grown version of open government data – if these bills pass, we'll have our own DataOhio initiative!