What can open data do for you and your organisation? Outline of our practical half-day covering what you need to know to find value in open data for your organisation.
The document summarizes the internship experience of a student at 2Thinknow, an innovation agency in Australia. It discusses the company background, organizational structure, duties performed, and lessons learned. The key points are:
- The student interned as a junior data analyst under Christopher Hire, the Executive Director, and was part of a team conducting research data analysis.
- 2Thinknow has a network structure with no permanent team, hiring based on project needs. Christopher directly oversees all employees and associates.
- The intern's duties included original research on city innovations, compiling layered data on indicators for 500 cities, and creating presentations using Excel functions.
- Through the internship, the student learned
This document discusses SQL commands for creating and altering database tables. It covers creating tables with various data types and column constraints like primary keys, unique constraints, foreign keys, and default values. It also covers altering table structures by adding, modifying, or dropping columns and dropping entire tables.
The document contains a quiz about database normalization with 7 multiple choice questions. Second normal form decomposes tables in first normal form into two or more tables. A foreign key is a field that matches a key field in another table. The relational database model was proposed in the 1970s. Normalization is the process of decomposing a table into more tables to fit the relational model. Third normal form ensures there are no transitive dependencies between non-key fields. A one to many relationship allows each record in one table to have multiple matching records in another table.
The document discusses the extraction, transformation, and loading (ETL) process used in data warehousing. It describes how ETL tools extract data from operational systems, transform the data through cleansing and formatting, and load it into the data warehouse. Metadata is generated during the ETL process to document the data flow and mappings. The roles of different types of metadata are also outlined. Common ETL tools and their strengths and limitations are reviewed.
The document outlines Beltos' approach to data warehouse and business intelligence projects which includes business analysis, architecture design and implementation, and project management. It then discusses a case study where Beltos implemented a data warehouse and BI solution for a large shipping company using their standardized methodology. The project was successful in meeting the customer's goals of integrated, timely reporting and cross-functional analysis.
The document discusses key concepts from Chapter 2 on database environments, including:
1) It describes the ANSI-SPARC three-level architecture for database systems, which separates data into external, conceptual, and internal levels.
2) It explains the roles of various users in a database environment like data administrators, database administrators, and end users.
3) It provides an overview of database languages, data models, and the functions of a database management system.
The document discusses the evolution and components of database systems, describing the advantages of centralized databases managed by a DBMS over conventional file processing, including improved data sharing and consistency. It also outlines the costs and risks of implementing a database, and explains the typical elements of a database environment including data models, DBMS software, database applications, and users.
The document discusses the database development life cycle (DBLC), which follows a similar process to the systems development life cycle (SDLC). The DBLC involves gathering requirements, database analysis, design, implementation, testing and evaluation, and maintenance. It describes each stage in detail, including conceptual, logical, and physical data modeling during the design stage. The goal is to systematically plan and develop a database to meet requirements while ensuring completeness, integrity, flexibility, and usability.
The document summarizes the internship experience of a student at 2Thinknow, an innovation agency in Australia. It discusses the company background, organizational structure, duties performed, and lessons learned. The key points are:
- The student interned as a junior data analyst under Christopher Hire, the Executive Director, and was part of a team conducting research data analysis.
- 2Thinknow has a network structure with no permanent team, hiring based on project needs. Christopher directly oversees all employees and associates.
- The intern's duties included original research on city innovations, compiling layered data on indicators for 500 cities, and creating presentations using Excel functions.
- Through the internship, the student learned
This document discusses SQL commands for creating and altering database tables. It covers creating tables with various data types and column constraints like primary keys, unique constraints, foreign keys, and default values. It also covers altering table structures by adding, modifying, or dropping columns and dropping entire tables.
The document contains a quiz about database normalization with 7 multiple choice questions. Second normal form decomposes tables in first normal form into two or more tables. A foreign key is a field that matches a key field in another table. The relational database model was proposed in the 1970s. Normalization is the process of decomposing a table into more tables to fit the relational model. Third normal form ensures there are no transitive dependencies between non-key fields. A one to many relationship allows each record in one table to have multiple matching records in another table.
The document discusses the extraction, transformation, and loading (ETL) process used in data warehousing. It describes how ETL tools extract data from operational systems, transform the data through cleansing and formatting, and load it into the data warehouse. Metadata is generated during the ETL process to document the data flow and mappings. The roles of different types of metadata are also outlined. Common ETL tools and their strengths and limitations are reviewed.
The document outlines Beltos' approach to data warehouse and business intelligence projects which includes business analysis, architecture design and implementation, and project management. It then discusses a case study where Beltos implemented a data warehouse and BI solution for a large shipping company using their standardized methodology. The project was successful in meeting the customer's goals of integrated, timely reporting and cross-functional analysis.
The document discusses key concepts from Chapter 2 on database environments, including:
1) It describes the ANSI-SPARC three-level architecture for database systems, which separates data into external, conceptual, and internal levels.
2) It explains the roles of various users in a database environment like data administrators, database administrators, and end users.
3) It provides an overview of database languages, data models, and the functions of a database management system.
The document discusses the evolution and components of database systems, describing the advantages of centralized databases managed by a DBMS over conventional file processing, including improved data sharing and consistency. It also outlines the costs and risks of implementing a database, and explains the typical elements of a database environment including data models, DBMS software, database applications, and users.
The document discusses the database development life cycle (DBLC), which follows a similar process to the systems development life cycle (SDLC). The DBLC involves gathering requirements, database analysis, design, implementation, testing and evaluation, and maintenance. It describes each stage in detail, including conceptual, logical, and physical data modeling during the design stage. The goal is to systematically plan and develop a database to meet requirements while ensuring completeness, integrity, flexibility, and usability.
Column-oriented databases like Infobright Community Edition are well-suited for data warehousing due to their high data compression rates and efficient handling of analytic queries. Infobright uses data packs, knowledge nodes, and an optimizer to retrieve only necessary column data without decompressing entire files. It achieves industry-leading compression of 10-40x by optimizing algorithms for each data type and stores metadata to resolve complex queries without traditional row-based indexing. By integrating with MySQL, Infobright leverages existing connectivity and provides a low-cost option for data warehousing and business intelligence.
This document summarizes a seminar presentation on using data mining techniques for telecommunications. It discusses three main types of telecom data: call summary data, network data, and customer data. It then describes using a genetic algorithm approach to mine sequential patterns from telecom databases. The genetic algorithm uses country codes to represent chromosomes and applies genetic operators and fitness functions to iteratively find sequential patterns in the telecom data. The approach provides non-optimal solutions faster than traditional algorithms.
The document discusses the key components of a database system environment: hardware, software, people, procedures, and data. It describes hardware as the physical devices like computers. It explains that software includes operating systems, database management systems (DBMS), and application programs. People in the environment include administrators, designers, analysts, programmers, and end users. Procedures govern how the database system is designed and used. Data refers to the collection of facts stored in the database.
Modern database management jeffrey a. hoffer, mary b. prescott, BlackIce86
The document summarizes a grading system for a course with the following key points:
- The course grade is made up of exams (40%), a project (15%), and lab exercises (25%)
- Exams include 4 chapter exams worth 10-15% each and a SQL exam worth 10%
- The project is worth 15% and lab exercises are worth 25% of the final grade
This short quote discusses how while external events and circumstances are outside of one's control, an individual can control how they respond to situations. It advises taking time to reflect on a situation rather than immediately reacting, as reflection allows for a more thoughtful response.
Data warehousing combines data from multiple sources into a single database to provide businesses with analytics results from data mining, OLAP, scorecarding and reporting. It extracts, transforms and loads data from operational data stores and data marts into a data warehouse and staging area to integrate and store large amounts of corporate data. Data mining analyzes large databases to extract previously unknown and potentially useful patterns and relationships to improve business processes.
This document provides an overview of data warehousing concepts including dimensional modeling, online analytical processing (OLAP), and indexing techniques. It discusses the evolution of data warehousing, definitions of data warehouses, architectures, and common applications. Dimensional modeling concepts such as star schemas, snowflake schemas, and slowly changing dimensions are explained. The presentation concludes with references for further reading.
This document discusses data warehousing and OLAP (online analytical processing) technology. It defines a data warehouse as a subject-oriented, integrated, time-variant, and nonvolatile collection of data to support management decision making. It describes how data warehouses use a multi-dimensional data model with facts and dimensions to organize historical data from multiple sources for analysis. Common data warehouse architectures like star schemas and snowflake schemas are also summarized.
The document is a chapter from a textbook on data mining written by Akannsha A. Totewar, a professor at YCCE in Nagpur, India. It provides an introduction to data mining, including definitions of data mining, the motivation and evolution of the field, common data mining tasks, and major issues in data mining such as methodology, performance, and privacy.
This document provides a research proposal for studying how open source information databases could enhance the quality of education. The proposal outlines a theoretical framework and literature review on open source databases and their potential economic and educational impacts. Key points include:
- The research question is whether open source databases can improve the quality of education by increasing access to up-to-date, peer-reviewed information at low or no cost.
- Existing examples like Connexions allow contributors to add educational content in modules that can be collected into personalized courses. Quality is maintained through sign-in requirements, version tracking, and peer review.
- While open source models seem economically puzzling, companies still invest in open source development for strategic reasons
This document proposes research on how open source information databases can enhance the quality of education. The research would analyze existing databases like Connexions for quality, and conduct case studies using personal learning environments. Students would learn through social networks, databases and tools for a year, then provide feedback on their experiences. The proposal estimates the cost of researchers to conduct content analysis and case studies over the course of a year. It concludes that Attic Media could focus on designing programs and tools to navigate open information as formal education requirements change.
This document proposes research on how open source information databases can enhance the quality of education. The research would analyze existing databases like Connexions for quality, and conduct case studies using personal learning environments. Students would learn through social networks, databases and tools for a year, then provide feedback on their experiences. The proposal estimates the cost of researchers to conduct content analysis and case studies over the course of a year. It concludes that Attic Media could focus on designing programs and tools to navigate open information as formal education requirements change.
This document proposes research on how open source information databases can enhance the quality of education. The research would analyze existing databases like Connexions for quality, and conduct case studies using personal learning environments. Students would learn through social networks, databases and tools for a year, then provide feedback on their experiences. The proposal estimates the cost of researchers to conduct content analysis and case studies over the year-long period would be around 60,000 euros. The research could provide relevance for Attic Media by indicating how education may evolve away from formal requirements towards personal learning tailored to open information sources.
This document provides a research proposal for studying how open source information databases could enhance the quality of education. The proposal outlines a theoretical framework and literature review on open source databases and their potential economic and educational impacts. Key points include:
1. The research question is whether open source databases can improve the quality of education by increasing access to up-to-date information at low cost.
2. Open source databases allow anyone to contribute and access educational content digitally without restrictions. Quality is maintained through sign-in requirements, version tracking, and peer review.
3. While commercial firms struggle to profit from open source, money can be made providing interfaces, tools, and other services around open databases. Contributors are
This document summarizes a discussion on new collaboration tools from Office 365 like Groups. Key points include:
1. Groups provides new ways for collaboration but staff may be hesitant to use new technologies. Training and support is needed.
2. Both formal classroom training and informal approaches work well to promote adoption. Embedding training for students and staff is important.
3. Frameworks can provide guidance on digital capabilities but each institution has their own needs. The JISC framework was discussed.
4. Evaluating the impact of new tools and capabilities is important. The UCISA Digital Capabilities survey provides recommendations and opportunities to share best practices.
Requirements Engineering for the HumanitiesShawn Day
This workshop explores how requirements engineering can be employed by digital and non-digital humanities scholars (and others) to conceptualise and communicate a research project.
requirementsEngineeringAs the field of digital humanities has evolved, one of the biggest challenges has been getting the marrying technical expertise with humanities scholarly practice to successfully deliver sustainable and sound digital projects. At its core this is a communications exercise. However, to communicate effectively demands an ability to effectively translate, define and find clarity in your own mind.
Team building insights from artificial intelligenceRobert Roan
This document discusses how artificial intelligence can provide insights into building effective teams. It uses concepts from the Turing Test to develop questions about natural language, knowledge, reasoning, and learning that can help construct high-performing teams and decision support systems. The questions are meant to help teams acquire and share knowledge efficiently, make well-informed decisions through structured reasoning processes, and continuously learn and improve.
This document describes the qualifications and experience of Brian Kelly for a Community Engagement Manager position at an organization focused on open data. It outlines Brian's technical skills and experience with open data, social media management of organizational accounts, strong written and oral communication abilities, experience defining metrics and strategies for community engagement, and proven ability to work with diverse professionals and create impact. Brian has over 15 years of experience advocating for open practices through numerous conference talks, published papers, openly licensed resources, and events promoting openness in areas like education and cultural heritage.
The document discusses the benefits of open source software. It notes that open source software is freely available to use, transparent in how it works, and trustworthy as it respects privacy and is developed by communities with shared visions. Large companies widely use high-quality open source software. The document outlines additional advantages like learning opportunities, potential career benefits, and the ability to contribute code and make an impact.
Sparktivity Digital Transformation JumpstartKate Thompson
From the making of things to the making of ideas, all industries and all sectors are now being swept by the rising tide of digital disruption. It's changing the game for everyone, and it's creating a new landscape where only those agile companies will survive. If you’re not embracing these changes and using technology to your best advantage, someone else will.
In this webinar, you'll learn how to jumpstart organizational change. We'll share our proven blueprint for Discovery, and some techniques to activate your team and win back the time you need to get started.
Column-oriented databases like Infobright Community Edition are well-suited for data warehousing due to their high data compression rates and efficient handling of analytic queries. Infobright uses data packs, knowledge nodes, and an optimizer to retrieve only necessary column data without decompressing entire files. It achieves industry-leading compression of 10-40x by optimizing algorithms for each data type and stores metadata to resolve complex queries without traditional row-based indexing. By integrating with MySQL, Infobright leverages existing connectivity and provides a low-cost option for data warehousing and business intelligence.
This document summarizes a seminar presentation on using data mining techniques for telecommunications. It discusses three main types of telecom data: call summary data, network data, and customer data. It then describes using a genetic algorithm approach to mine sequential patterns from telecom databases. The genetic algorithm uses country codes to represent chromosomes and applies genetic operators and fitness functions to iteratively find sequential patterns in the telecom data. The approach provides non-optimal solutions faster than traditional algorithms.
The document discusses the key components of a database system environment: hardware, software, people, procedures, and data. It describes hardware as the physical devices like computers. It explains that software includes operating systems, database management systems (DBMS), and application programs. People in the environment include administrators, designers, analysts, programmers, and end users. Procedures govern how the database system is designed and used. Data refers to the collection of facts stored in the database.
Modern database management jeffrey a. hoffer, mary b. prescott, BlackIce86
The document summarizes a grading system for a course with the following key points:
- The course grade is made up of exams (40%), a project (15%), and lab exercises (25%)
- Exams include 4 chapter exams worth 10-15% each and a SQL exam worth 10%
- The project is worth 15% and lab exercises are worth 25% of the final grade
This short quote discusses how while external events and circumstances are outside of one's control, an individual can control how they respond to situations. It advises taking time to reflect on a situation rather than immediately reacting, as reflection allows for a more thoughtful response.
Data warehousing combines data from multiple sources into a single database to provide businesses with analytics results from data mining, OLAP, scorecarding and reporting. It extracts, transforms and loads data from operational data stores and data marts into a data warehouse and staging area to integrate and store large amounts of corporate data. Data mining analyzes large databases to extract previously unknown and potentially useful patterns and relationships to improve business processes.
This document provides an overview of data warehousing concepts including dimensional modeling, online analytical processing (OLAP), and indexing techniques. It discusses the evolution of data warehousing, definitions of data warehouses, architectures, and common applications. Dimensional modeling concepts such as star schemas, snowflake schemas, and slowly changing dimensions are explained. The presentation concludes with references for further reading.
This document discusses data warehousing and OLAP (online analytical processing) technology. It defines a data warehouse as a subject-oriented, integrated, time-variant, and nonvolatile collection of data to support management decision making. It describes how data warehouses use a multi-dimensional data model with facts and dimensions to organize historical data from multiple sources for analysis. Common data warehouse architectures like star schemas and snowflake schemas are also summarized.
The document is a chapter from a textbook on data mining written by Akannsha A. Totewar, a professor at YCCE in Nagpur, India. It provides an introduction to data mining, including definitions of data mining, the motivation and evolution of the field, common data mining tasks, and major issues in data mining such as methodology, performance, and privacy.
This document provides a research proposal for studying how open source information databases could enhance the quality of education. The proposal outlines a theoretical framework and literature review on open source databases and their potential economic and educational impacts. Key points include:
- The research question is whether open source databases can improve the quality of education by increasing access to up-to-date, peer-reviewed information at low or no cost.
- Existing examples like Connexions allow contributors to add educational content in modules that can be collected into personalized courses. Quality is maintained through sign-in requirements, version tracking, and peer review.
- While open source models seem economically puzzling, companies still invest in open source development for strategic reasons
This document proposes research on how open source information databases can enhance the quality of education. The research would analyze existing databases like Connexions for quality, and conduct case studies using personal learning environments. Students would learn through social networks, databases and tools for a year, then provide feedback on their experiences. The proposal estimates the cost of researchers to conduct content analysis and case studies over the course of a year. It concludes that Attic Media could focus on designing programs and tools to navigate open information as formal education requirements change.
This document proposes research on how open source information databases can enhance the quality of education. The research would analyze existing databases like Connexions for quality, and conduct case studies using personal learning environments. Students would learn through social networks, databases and tools for a year, then provide feedback on their experiences. The proposal estimates the cost of researchers to conduct content analysis and case studies over the course of a year. It concludes that Attic Media could focus on designing programs and tools to navigate open information as formal education requirements change.
This document proposes research on how open source information databases can enhance the quality of education. The research would analyze existing databases like Connexions for quality, and conduct case studies using personal learning environments. Students would learn through social networks, databases and tools for a year, then provide feedback on their experiences. The proposal estimates the cost of researchers to conduct content analysis and case studies over the year-long period would be around 60,000 euros. The research could provide relevance for Attic Media by indicating how education may evolve away from formal requirements towards personal learning tailored to open information sources.
This document provides a research proposal for studying how open source information databases could enhance the quality of education. The proposal outlines a theoretical framework and literature review on open source databases and their potential economic and educational impacts. Key points include:
1. The research question is whether open source databases can improve the quality of education by increasing access to up-to-date information at low cost.
2. Open source databases allow anyone to contribute and access educational content digitally without restrictions. Quality is maintained through sign-in requirements, version tracking, and peer review.
3. While commercial firms struggle to profit from open source, money can be made providing interfaces, tools, and other services around open databases. Contributors are
This document summarizes a discussion on new collaboration tools from Office 365 like Groups. Key points include:
1. Groups provides new ways for collaboration but staff may be hesitant to use new technologies. Training and support is needed.
2. Both formal classroom training and informal approaches work well to promote adoption. Embedding training for students and staff is important.
3. Frameworks can provide guidance on digital capabilities but each institution has their own needs. The JISC framework was discussed.
4. Evaluating the impact of new tools and capabilities is important. The UCISA Digital Capabilities survey provides recommendations and opportunities to share best practices.
Requirements Engineering for the HumanitiesShawn Day
This workshop explores how requirements engineering can be employed by digital and non-digital humanities scholars (and others) to conceptualise and communicate a research project.
requirementsEngineeringAs the field of digital humanities has evolved, one of the biggest challenges has been getting the marrying technical expertise with humanities scholarly practice to successfully deliver sustainable and sound digital projects. At its core this is a communications exercise. However, to communicate effectively demands an ability to effectively translate, define and find clarity in your own mind.
Team building insights from artificial intelligenceRobert Roan
This document discusses how artificial intelligence can provide insights into building effective teams. It uses concepts from the Turing Test to develop questions about natural language, knowledge, reasoning, and learning that can help construct high-performing teams and decision support systems. The questions are meant to help teams acquire and share knowledge efficiently, make well-informed decisions through structured reasoning processes, and continuously learn and improve.
This document describes the qualifications and experience of Brian Kelly for a Community Engagement Manager position at an organization focused on open data. It outlines Brian's technical skills and experience with open data, social media management of organizational accounts, strong written and oral communication abilities, experience defining metrics and strategies for community engagement, and proven ability to work with diverse professionals and create impact. Brian has over 15 years of experience advocating for open practices through numerous conference talks, published papers, openly licensed resources, and events promoting openness in areas like education and cultural heritage.
The document discusses the benefits of open source software. It notes that open source software is freely available to use, transparent in how it works, and trustworthy as it respects privacy and is developed by communities with shared visions. Large companies widely use high-quality open source software. The document outlines additional advantages like learning opportunities, potential career benefits, and the ability to contribute code and make an impact.
Sparktivity Digital Transformation JumpstartKate Thompson
From the making of things to the making of ideas, all industries and all sectors are now being swept by the rising tide of digital disruption. It's changing the game for everyone, and it's creating a new landscape where only those agile companies will survive. If you’re not embracing these changes and using technology to your best advantage, someone else will.
In this webinar, you'll learn how to jumpstart organizational change. We'll share our proven blueprint for Discovery, and some techniques to activate your team and win back the time you need to get started.
This presentation aims to teach others how to use the user centered design methodology known as personas.
Personas are archetypes (models) that represent groups of real users who have similar behaviors, attitudes, and goals. A persona describes an archetypical user of software as it relates to the area of focus or domain you are designing for as a lens to highlight the relevant attitudes and the specific context associated with the area of work you are doing.
Social software lets employees connect and share in new ways, and can dramatically improve the effectiveness of your organization. But social technologies like microblogging, social networking, automated activity feeds, social spreadsheets, wikis, etc. are new to most organizations, and most IT departments don’t have experience with how to successfully implement them.
Success with social software involves a lot more than simply finding the product that best fits your needs. It involves framing the problem appropriately in the first place, defining your business goals, and choosing a rollout methodology designed to meet those goals. It involves selling your CFO, changing behavior across your organization, and more.
This paper is designed to help you learn from the mistakes of others before you, so you can avoid the common pitfalls of social software, and get fast business value.
Responses to Other Students Respond to at least 2 of your fellow .docxronak56
Responses to Other Students: Respond to at least 2 of your fellow classmates with at least a 40-50-word reply about their Primary Task Response regarding items you found to be compelling and enlightening. To help you with your discussion, please consider the following questions:
DISCUSSION 1
What did you learn that you did not already know?
This has been like some of the other material that we have covered. I have had exposure to many of the concepts in my master’s program but with this material I am provided both reinforcement of those concept understandings and present new perspectives on them. The from Management Information Systems: Managing the Digital Firm was particularly helpful. Material such as this can often require several iterations of review to begin to develop an understanding of how it can be applied. I have had exposure to similar material but being able to understand how to apply these concepts benefits considerably form exposure to new sources. This material is not abstract but at times being able to apply it in a practice manner almost does seem abstract. Being able to read this material helps me solidify thoughts and ideas on how to concretely implement them in real life situations, this type of process for me is something that requires deeper understanding of the “theory of operations”, for a lack of better words. In course I have gotten a lot of that.
What are some problems that are apparent in the field?
I am going to inject some major bias at this point as my masters was in software engineering and focused on enterprise architecture, IT systems research, software project management, and object-oriented paradigm. To me one of the biggest problems in the industries I have been in is shear negligence in researching the concepts of what software engineering is and how to manage information systems or information technology. The decision-making process is often left to those who have no technical background, two who’s motivations are at best questionable, and three have no concept of the magnitude or time line of projects. There is an abundant source of research, magazines, and various other forms of literature explicitly addressing these things in a practical manner oriented strictly towards helping organizations undertake such endeavors. I by no means consider myself to be an expert but I often find myself in a situation where I ask what should be some basic questions about projects and in return I receive an answer akin to “what are you talking about” or “I have never heard of that” or “I don’t know I never thought about that”.
What are might be some opportunities for research on the topics covered and how might you perform the appropriate research?
The above rant was a segue into this section because I feel that big data is becoming more prevalent and both the elements of software engineering and systems for big data could become victim to similar issues as stated before. Some issues for research in software engineer ...
IBM has over 340,000 employees working across 168 countries and 2,000 locations, with around 50% being mobile workers. Enterprise social software at IBM aims to drive innovation, increase productivity and knowledge sharing, and harness expertise. Critical success factors for enterprise social networking include skills, tools, motivation, trust, awareness and identifying contributors and seekers of information. IBM's "BlueIQ" program promotes social software use internally through resources, communities of experts, targeted consulting and communications.
This material gives you the secret sauce for creating a pitch video to submit to any hackathon + CodeTheCurve hackathon that closes its application process on April 15th.
Web 2.0 infomral online learning professional development program conducted as a trial at TNQIT - this presentation nwas made to the Ve-Mentoring netywork of TAFE Qld Australia
The document discusses the goals and plans for developing "The Knowledge Hub", which is a project aimed at facilitating knowledge sharing across local governments in the UK. The key goals are to make it easier for local governments to access experiences from other councils, encourage collaboration and problem solving, and help councils improve performance. The project will involve developing web and social media platforms to better aggregate, filter and share knowledge. It will focus on user-generated content and narratives over static documents. Challenges include incentivizing contribution and ensuring staff have needed training.
Similar to Open data, so what? Finding the value in open data (20)
The document outlines plans for the Open Data Institute (ODI) Leeds node to implement recommendations from a development review in order to further develop the organization. It discusses plans to: 1) develop a new website to provide more information and promote projects/events; 2) work with ODI HQ to optimize resources and training; and 3) publish a clearer vision, strategy, and 12-24 month business plan on the new website. It also notes initial steps taken to expand membership and engagement, identify resource needs, increase transparency, review the events program, and formalize governance arrangements with an advisory board.
This document provides information about Paul Connell and the Open Data Institute (ODI) Leeds node. It lists the founder and contact details for ODI Leeds. It then summarizes that ODI HQ has been open for 3 years, and ODI Leeds has been located at Munro House in Leeds for 2 years. The rest of the document outlines some of the activities and events that ODI Leeds has hosted over the past year, including hackathons and water data challenges, and announces an upcoming startup event.
The document discusses open data in the UK. It introduces Tom Forth, a software engineer, and ODILeeds, an associate and head of a challenge team. It notes that while open data is not new, quickly building products with open data is a recent development. It states that open data can help address some of the UK's biggest challenges by making data available on issues like housing, empty shops, education, health, and transportation where data is currently poor. Open data allows arguments to be made and assumptions to be challenged, and helps inform consultations. Overall, open data can help build better solutions and policies through collaboration.
Paul connell odi leeds open day october 2015odileeds
Paul Connell is the founder of ODI Leeds, an organization focused on open data. Open data refers to data that is freely available for anyone to access, use, and share. Connell believes that open data can help create a dynamic economy through long-term investments in skills, science, and infrastructure as outlined in the 2015 UK Budget. However, he stresses the importance of having fun and being ambitious, like civic entrepreneurs during the Industrial Revolution, and avoiding negative northern stereotypes.
Paul Connell is the founder of ODI Leeds, an organization focused on open data. Open data refers to data that is freely available for anyone to access, use, and share. Connell believes that open data can help create a dynamic economy through long-term investments in skills, science, and infrastructure as outlined in the 2015 UK Budget. However, he stresses the importance of having fun and being ambitious, like civic entrepreneurs during the Industrial Revolution, and avoiding negative northern stereotypes.
The document discusses Yorkshire Water's open data policy and initiatives. It provides an overview of Yorkshire Water's operational areas and strategic business objectives of ensuring clean water, adequate supply, effective waste water management, environmental protection, good customer service, and affordable bills. It describes a data dive event where water meter and consumption data was shared to promote open data concepts. Challenges around data privacy and security are noted. Water saving programs including free water saving packs are highlighted. Additional open datasets made accessible are also summarized.
YWS open data presentation #WaterChallengeodileeds
- Yorkshire Water held a data dive event on July 10-11 to introduce the concept of open data and discuss challenges and opportunities.
- They shared water usage data to help meet regulatory requirements to reduce per person water use. This included daily meter readings and non-metered customer consumption data.
- Yorkshire Water's vision is to take responsibility for the water environment, but opening data comes with challenges regarding privacy, reputation, and activist groups they must address under UK data protection laws.
Leeds datacity intro for data thing 17.06.15odileeds
A smart city uses digital technologies and data to improve city services, reduce costs and resource consumption, and better engage with citizens. It needs three things: 1) an ongoing register of its assets and resources, 2) a connected community to discuss needs and wants, and 3) a way to implement solutions to meet community goals. Leeds aims to become a smart, data-driven city by creating a platform to solve problems using open data and turning these solutions into products and services for all.
“What is open data, why should I publish it and what does publishing do for me and my organisation?”
“What is open data, why should I use it and what can it do for me and my organisation?”
What can open data do for you and your organisation?
Slides from our practical half-day course run by open data experts, exploring the benefits, issues and impacts of open data through case studies and practical, hands-on activities.
The document discusses plans to create an Open Data Institute civic lab in Leeds, England. It would provide a neutral physical space to host projects using open data and start-up models to accelerate innovation and growth. Members would include Leeds City Council and other local organizations working with open data. The lab would aim to catalyze the power of open data for Leeds citizens through collective intelligence, hosting events, and acting as a start-up incubator and accelerator in a low-cost, high-impact way.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Open data, so what? Finding the value in open data
1. Open Data - So What?
Finding the Value in Open Data
“What is open data, why should I publish it and what does publishing do for me and my
organisation?”
“What is open data, why should I use it and what can it do for me and my organisation?”
What can open data do for you and your organisation? In our practical halfday
course run by
open data experts, you’ll explore the benefits, issues and impacts of open data through case
studies and practical, handson
activities.
image courtesy of theodi.org
You don’t need any prior knowledge of open data to get the best out of this introductory
course. Our experts will provide a concise overview of open data and the tools you need to
remove barriers, reduce risk and inspire you to get started with open data in your
organisation.
Over fours hours, you will learn:
● What open data is and its impact
● The benefits of publishing open data, what to consider and where to publish
● The benefits of using open data, what to consider and where to find it
● Case studies and lessons learned from open data projects
2. Through practical knowhow,
case studies and creative activities, our experts will guide you
through the basics of open data and provide practical tools so you can start making open data
projects a reality within your organisation.
By the end of the course, you will be able to:
1. Describe open data, what it is and what it’s not
2. Describe value and what it means to your organisation
3. Explain the value of publishing open data within your organisation
4. Explain the value of using open data within your organisation
5. Outline the issues with publishing open data within your organisation
6. Outline the issues with using open data within your organisation
7. Discuss open data case studies related to your organisation
8. Construct a list of potential open data for publication by your organisation
9. Construct a list of potential open data to be used by your organisation
Who is the course for?
Employees and entrepreneurs from government departments, the public, private and
voluntary sectors.
What prior knowledge do you need?
Good computer literacy and knowledge of using the web and spreadsheets is essential. You
will get the most out of the course if you have a highlevel
understanding of the information
available within your organisation and how it’s used. Technical or Information Technology
skills are not required.
What should you bring?
A wifi enabled laptop and software to open spreadsheets is essential. You will not need to
install any software for this course.
This work is licensed under the Creative Commons Attribution 4.0 International License. To
view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.