The document discusses how knowledge and learning are social and networked phenomena. It argues that an individual's knowledge is limited to their own network and access to other networks. An effective organization allows knowledge to flow between individuals and groups through social networks. Key individuals who bridge different groups help spread knowledge across the organization. The document advocates that organizations should map their social networks to understand knowledge flow and identify important connectors. This provides insights to improve an organization's ability to learn, adapt, and achieve awareness, alternatives, and action.
The Talis Platform provides a cloud-based multi-tenant data storage service with RDF triplestore and unstructured data storage. It includes features for managing structured and unstructured data through RESTful APIs, extracting and augmenting data through services like search and SPARQL querying, and publishing Linked Data through hosting and public APIs. Current projects using the platform include hosting Linked Data from BBC, government data from the UK and EU, and supporting research into exploring Linked Data applications.
Kasabi is a data platform that aims to make it easy for users to discover, consume, publish and monetize data. It provides a data marketplace to find datasets, standard APIs for consistent access, and click-through licensing to instantly access data. Kasabi also offers data hosting and seeks to generate revenue through fees for high API usage and revenue sharing on commercial data. The overall goal is to build a marketplace that links data to create context and value for users.
The RDF Report Card: Beyond the Triple CountLeigh Dodds
My talk from the Semtech Biz conference in London.
I argued that it is time to move beyond discussing size of datasets and encourage a more nuanced view to understand quality and utility.
The RDF Report Card is offered as one simple, high-level visualization.
Commercial Break: Linked Data for Businesszbeauvais
Linked data and the use of graphs are enabling new business opportunities around data. Companies can directly monetize their datasets by selling them on emerging data marketplaces like Kasabi, which is being built on linked data principles. As data becomes more interconnected and useful, current tools will get smarter and new applications and business models will emerge, fueled by the ability to browse, buy, and leverage linked datasets.
Fanhu.bz is a platform that allows users to annotate and discuss BBC television programs and music using Twitter. It surfaces existing communities around BBC content and enables them to create linked data annotations. The syntax allows users to tag programs, express opinions, and link to reviews and other web pages about different programs. Annotations are stored as semantic triples to connect user-generated content back to BBC data.
Linked Data and semantic technologies have seen a remarkable uptake in recent years. However, there is still a significant divide in organisations and companies between implementers and executive decision makers regarding the adoption of Linked Data. While implementers are early adopters, enthusiastic about new technologies, executives who decide whether or not new and potentially costly projects go ahead tend to be sceptical, thinking in terms of costs and benefits. What is needed to bridge this divide is a kind of “executive whispering”: presenting a potential Linked Data project not in terms of technology, but of the concrete benefits it will bring to a particular organisation or company.
The talk draws from the significant experience of the Talis and Kasabi Consulting team.
The document discusses Kasabi, a linked data marketplace that aims to make it easy to publish and use data and help people get paid for their data. It does this through cloud-based RDF storage, linked data publishing tools, search and browse capabilities for datasets, standard and custom APIs for accessing datasets instantly. The presentation demonstrates Kasabi and outlines future features like usage statistics, dataset analysis, and commercial features. Kasabi's revenue model involves fees for high-volume API usage and revenue sharing on commercial data. In summary, Kasabi is a platform for discovering, consuming, publishing and monetizing linked data.
The document discusses how knowledge and learning are social and networked phenomena. It argues that an individual's knowledge is limited to their own network and access to other networks. An effective organization allows knowledge to flow between individuals and groups through social networks. Key individuals who bridge different groups help spread knowledge across the organization. The document advocates that organizations should map their social networks to understand knowledge flow and identify important connectors. This provides insights to improve an organization's ability to learn, adapt, and achieve awareness, alternatives, and action.
The Talis Platform provides a cloud-based multi-tenant data storage service with RDF triplestore and unstructured data storage. It includes features for managing structured and unstructured data through RESTful APIs, extracting and augmenting data through services like search and SPARQL querying, and publishing Linked Data through hosting and public APIs. Current projects using the platform include hosting Linked Data from BBC, government data from the UK and EU, and supporting research into exploring Linked Data applications.
Kasabi is a data platform that aims to make it easy for users to discover, consume, publish and monetize data. It provides a data marketplace to find datasets, standard APIs for consistent access, and click-through licensing to instantly access data. Kasabi also offers data hosting and seeks to generate revenue through fees for high API usage and revenue sharing on commercial data. The overall goal is to build a marketplace that links data to create context and value for users.
The RDF Report Card: Beyond the Triple CountLeigh Dodds
My talk from the Semtech Biz conference in London.
I argued that it is time to move beyond discussing size of datasets and encourage a more nuanced view to understand quality and utility.
The RDF Report Card is offered as one simple, high-level visualization.
Commercial Break: Linked Data for Businesszbeauvais
Linked data and the use of graphs are enabling new business opportunities around data. Companies can directly monetize their datasets by selling them on emerging data marketplaces like Kasabi, which is being built on linked data principles. As data becomes more interconnected and useful, current tools will get smarter and new applications and business models will emerge, fueled by the ability to browse, buy, and leverage linked datasets.
Fanhu.bz is a platform that allows users to annotate and discuss BBC television programs and music using Twitter. It surfaces existing communities around BBC content and enables them to create linked data annotations. The syntax allows users to tag programs, express opinions, and link to reviews and other web pages about different programs. Annotations are stored as semantic triples to connect user-generated content back to BBC data.
Linked Data and semantic technologies have seen a remarkable uptake in recent years. However, there is still a significant divide in organisations and companies between implementers and executive decision makers regarding the adoption of Linked Data. While implementers are early adopters, enthusiastic about new technologies, executives who decide whether or not new and potentially costly projects go ahead tend to be sceptical, thinking in terms of costs and benefits. What is needed to bridge this divide is a kind of “executive whispering”: presenting a potential Linked Data project not in terms of technology, but of the concrete benefits it will bring to a particular organisation or company.
The talk draws from the significant experience of the Talis and Kasabi Consulting team.
The document discusses Kasabi, a linked data marketplace that aims to make it easy to publish and use data and help people get paid for their data. It does this through cloud-based RDF storage, linked data publishing tools, search and browse capabilities for datasets, standard and custom APIs for accessing datasets instantly. The presentation demonstrates Kasabi and outlines future features like usage statistics, dataset analysis, and commercial features. Kasabi's revenue model involves fees for high-volume API usage and revenue sharing on commercial data. In summary, Kasabi is a platform for discovering, consuming, publishing and monetizing linked data.
The document discusses how the web influences data. It describes the structure of Talis Group Ltd, which includes several subsidiary companies. It then discusses how linked data, by linking datasets and data within datasets, allows data to be web native and helps build a web of data. This represents a shift from traditional approaches where data was isolated.
Linked Data uses techniques that are not new, but builds on the existing Web to provide a real implementation of Semantic Web standards. It represents data in a Web-native format and links open, enterprise and commercial data sources. Linked Data adopts an open world modeling approach and adds value through its differences from traditional data modeling, enabling easy reuse and reducing development costs.
Who Should Own Data Governance – IT or Business?DATAVERSITY
The question is asked all the time: “What part of the organization should own your Data Governance program?” The typical answers are “the business” and “IT (information technology).” Another answer to that question is “Yes.” The program must be owned and reside somewhere in the organization. You may ask yourself if there is a correct answer to the question.
Join this new RWDG webinar with Bob Seiner where Bob will answer the question that is the title of this webinar. Determining ownership of Data Governance is a vital first step. Figuring out the appropriate part of the organization to manage the program is an important second step. This webinar will help you address these questions and more.
In this session Bob will share:
- What is meant by “the business” when it comes to owning Data Governance
- Why some people say that Data Governance in IT is destined to fail
- Examples of IT positioned Data Governance success
- Considerations for answering the question in your organization
- The final answer to the question of who should own Data Governance
RWDG Webinar: Metadata to Support Data GovernanceDATAVERSITY
This document describes a webinar on using metadata to support data governance. It provides definitions of key terms like data governance, metadata, and non-invasive data governance. It explains that metadata is a byproduct of good governance practices like formalizing accountability and standards. The webinar will cover selecting important initial metadata, using metadata to support the governance program, and incorporating governance into processes to manage metadata. It promotes integrating governance roles and responsibilities into existing methodologies.
Evolution Towards Web 3.0: The Semantic WebLeeFeigenbaum
This was a lecture I presented at Professor Stuart Madnick's class, "Evolution Towards Web 3.0" at the MIT Sloan School of Management on April 21, 2011. Please follow along with the speaker notes which add significant commentary to the slides.
Becoming a data-driven organization in a fast-moving world - SAS italySAS Italy
SAS italy - Per diventare un’organizzazione data-driven è fondamentale mantenere la Governance del “fiume” di dati a disposizione. Una gestione necessaria che deve strutturarsi attraverso 3 fattori chiave: Persone, Processi e Tecnologie. Scopri nella presentazione di Oliver Penel, SAS EMEA Data Management Business Director, le raccomandazioni, i focus e le giuste domande che le aziende devono porsi per non rischiare di farsi travolgere dall’ondata di informazioni a loro disposizione.
Your first choice high speed internet connections today at lv.netkeemojohn
In addition, the High Speed Internet is one of the big challenges of everyone for this. Think, if you are searching something on the internet and in the middle of your internet link is not firm, it can have an effect on your search, it may take time, not exact search can be in front, etc. Let’s make your search easier and fast with high-speed internet connections.
Enlarge influence by Participating in communitiesKim Kao
This is a moon shot journey for me and DDD Taiwan community. In this talk, tried to wake up people who choose developer as their career but lost passion on problem solving.
The document provides an introduction to the Semantic Web by defining it in multiple ways: a) as a family of Web standards to make data easier to use and reuse, b) as an upgrade to the current Web enabling more intelligent applications, and c) as a collection of metadata technologies to improve business software adaptability and responsiveness. It notes what the Semantic Web is not (e.g. not a better search engine or tagged HTML) and provides examples of how the Semantic Web could benefit individuals by making their lives simpler and businesses by empowering new capabilities and reducing IT costs through standardized metadata linking. Finally, it discusses some early examples and implementations as well as next steps for exploring and prototyping with Semantic
Schema.org Structured data the What, Why, & HowRichard Wallis
This document discusses Schema.org structured data, including its origins in the Semantic Web and Linked Open Data movements. Schema.org was created in 2011 to provide a common vocabulary for structured data markup on web pages. It allows search engines and other applications to understand the intended meaning and relationships of information on web pages. The document provides examples of using Schema.org structured data and microdata, and recommends applying it across various page types to help search engines better understand websites.
A slide deck that can be used for introducing some of the main features of Drupal to enterprises. This is a relatively high-level (mostly-non-technical) presentation geared toward an audience that has little or no previous knowledge of Drupal, but it familiar with general concepts of content management systems.
DataIncubator at Linked Data Meetup February 2010Ian Davis
Data Incubator seeks to address obstacles to publishing Linked Data by organizing community expertise to help data owners understand why and how to publish their data as Linked Data. It provides infrastructure like a website and tools to help model, create schemas, and convert data to Linked Data format. The goal is to reach critical mass of Linked Data to make publishing sustainable while ensuring data ends up on the original owner's site and all work is freely available. Challenges include engaging data owners, improving education, and demonstrating the value of Linked Data.
AWSN Melbourne Feb 2020 Event - How cloud is a data governance game changer b...Reshma Devi
Slides from Paul Macey : Data Governance Industry Trends and how cloud is a data governance game changer
Industry regulations such as ISM and GDPR, together with unrelenting new and existing sources of data arriving at greater speed and volume every day, make automation of data security and metadata a necessity for most commercial and public sector organisations.
In this session we will hear from Paul on what he is experiencing first hand around data governance, internal data and security policies, and culture as he meets with organisations across the Australia, New Zealand, and the world.
This is a session for those wanting to understand the common data challenges experienced in many organisations across the world and how, by moving to cloud, these organisations have been able to break down their data silos to produce insights that were previously unachievable and with data security and data classification automatically applied and catalogued.
This is a session for those wanting to understand how IT and data security together with metadata and data cataloguing can be defined, applied and automated in a repeatable, extensible way. Viewers will walk away with an appreciation of how moving to cloud can enable your organisation to work more securely, faster, and at a scale that was previously not possible, and at a fraction of the cost.
Paul is a Specialist Solution Architect at AWS, specialising in Big Data, Analytics, and Insights. Paul has worked in industries including Telecommunications and Banking, and in his current role, he is spending much of his time with Public Sector customers including Federal Government, Utilities, Universities and Health across Australia and New Zealand.
https://www.linkedin.com/in/paulmacey/
Are you spending your summer down by the Data Lake? If so, then you want to make certain that the lake is clean and that you pick the best place to swim. The Data Lake is the new analytical paradise that many organizations are banking on to become that answer to improved insights. And you need to prevent the lake from turning swampy.
In this month’s RWDG webinar, Bob Seiner and a special guest will focus on how to govern the data in your Data Lake. Bob’s interaction with his guests is always lively, fact filled and this month they will help you to successfully swim through major barriers to provide an effective and valuable data resource.
In this webinar, Bob and his guest will discuss:
- The relationship between Data Lakes and Data Governance
- Preventing your Data Lake from becoming a Data Swamp
- Governing the Metadata associated with your Data Lake
- Leveraging governed data to provide trustworthy Analytics
- Measuring the value of a governed Data Lake
Contextual Computing - Knowledge Graphs & Web of EntitiesRichard Wallis
Richard Wallis gave a presentation on contextual computing and knowledge graphs at the SmartData 2017 conference. He discussed how knowledge graphs powered by structured data on the web are providing global context that enables new applications of cognitive and contextual computing. Schema.org plays a key role by defining a common vocabulary and enabling a web of related entities laid out as a global graph. This graph of entities delivers context on a global scale and lays the foundation for the next revolution in computing.
This document introduces Kevin Grace, the CEO and President of AME who has extensive experience founding and selling technology businesses. It then discusses the need to enhance collaboration between organizations in the Fort Worth entrepreneurship ecosystem, which currently operates in silos trapping value. The document proposes an outcome-oriented framework to create shared value through jobs, funding, talent retention and new businesses by building bridges between groups like universities, entrepreneurs, industries and the government. It argues this can be achieved through collaborative events and sustainable, repeatable activities to strengthen the local innovation and technology community.
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
As DATAVERSITY’s RWDG series hurdles into our 12th year, this webinar takes a quick look behind us, evaluates the present, and predicts the future of Data Governance. Based on webinar numbers, hot Data Governance topics have evolved over the years from policies and best practices, roles and tools, data catalogs and frameworks, to supporting data mesh and fabric, artificial intelligence, virtualization, literacy, and metadata governance.
Join Bob Seiner as he reflects on the past and what has and has not worked, while sharing examples of enterprise successes and struggles. In this webinar, Bob will challenge the audience to stay a step ahead by learning from the past and blazing a new trail into the future of Data Governance.
In this webinar, Bob will focus on:
- Data Governance’s past, present, and future
- How trials and tribulations evolve to success
- Leveraging lessons learned to improve productivity
- The great Data Governance tool explosion
- The future of Data Governance
Slides: Beyond Metadata — Enrich Your Metadata Management with Deep-Level Dat...DATAVERSITY
Today’s growing complexity to the data ecosystem requires organizations to understand data at the data element level. Challenges in data collection such as open text boxes/free form text fields added to the velocity of incoming data increases risk for organizations. This risk is amplified when those organizations rely exclusively on metadata scanning when it comes to discovering and actioning their data. The need to look deeper than basic metadata becomes even more pronounced when dealing with semi-structured or unstructured data commonly found in file shares and email systems. Maintaining compliance and driving business value often requires scanning actual files, interpreting data, flagging risks, and integrating that risk into a data catalog. Going beyond metadata to the actual data element level ensures that your data catalog is a source of truth, which ultimately allows organizations to create agile Data Governance programs.
We’ll walk you through key considerations for going beyond knowing what metadata you have by:
• Underlining the importance of an enhanced, AI-driven data discovery tool to better understand your data and how it is being used
• Discussing components of an effective Metadata Management strategy including data inventories, data dictionaries, and usage requests
• Highlighting how the OneTrust platform embedded with regulatory intelligence helps you to go beyond metadata and address key use cases around unexpected or at-risk unstructured data
A data-driven organization is imperative for the future. The smartphone and the ubiquitous computing have produced an exponential data explosion. From fueling the recent success of “artificial intelligence” (AI) and the rise of “digital transformation” to its accelerated growth due to Covid-19 to new approaches to its “monetization” to how it makes businesses and consumers both anxious and animated, data dominates our deeds, debates, and dreams. If the last decade was about “software eating the world, this decade is about “data eating the world”. Organizations are now faced with the huge challenge of managing, harnessing, and leveraging all of this data. We are still at the very beginning of the data revolution, and of understanding its second, third, and fourth-order effects. Organizations that are successfully transforming their business, technology, and operations strategy to align with their data strategy are the ones that will have a sustainable competitive advantage.
You can read all about ideal governance models that should work, but what does it really take to run a website in higher ed? This study researched staff structures, roles, and skills at colleges and universities so we could share real examples of how day-to-day website management gets done across higher ed.
The document discusses how the web influences data. It describes the structure of Talis Group Ltd, which includes several subsidiary companies. It then discusses how linked data, by linking datasets and data within datasets, allows data to be web native and helps build a web of data. This represents a shift from traditional approaches where data was isolated.
Linked Data uses techniques that are not new, but builds on the existing Web to provide a real implementation of Semantic Web standards. It represents data in a Web-native format and links open, enterprise and commercial data sources. Linked Data adopts an open world modeling approach and adds value through its differences from traditional data modeling, enabling easy reuse and reducing development costs.
Who Should Own Data Governance – IT or Business?DATAVERSITY
The question is asked all the time: “What part of the organization should own your Data Governance program?” The typical answers are “the business” and “IT (information technology).” Another answer to that question is “Yes.” The program must be owned and reside somewhere in the organization. You may ask yourself if there is a correct answer to the question.
Join this new RWDG webinar with Bob Seiner where Bob will answer the question that is the title of this webinar. Determining ownership of Data Governance is a vital first step. Figuring out the appropriate part of the organization to manage the program is an important second step. This webinar will help you address these questions and more.
In this session Bob will share:
- What is meant by “the business” when it comes to owning Data Governance
- Why some people say that Data Governance in IT is destined to fail
- Examples of IT positioned Data Governance success
- Considerations for answering the question in your organization
- The final answer to the question of who should own Data Governance
RWDG Webinar: Metadata to Support Data GovernanceDATAVERSITY
This document describes a webinar on using metadata to support data governance. It provides definitions of key terms like data governance, metadata, and non-invasive data governance. It explains that metadata is a byproduct of good governance practices like formalizing accountability and standards. The webinar will cover selecting important initial metadata, using metadata to support the governance program, and incorporating governance into processes to manage metadata. It promotes integrating governance roles and responsibilities into existing methodologies.
Evolution Towards Web 3.0: The Semantic WebLeeFeigenbaum
This was a lecture I presented at Professor Stuart Madnick's class, "Evolution Towards Web 3.0" at the MIT Sloan School of Management on April 21, 2011. Please follow along with the speaker notes which add significant commentary to the slides.
Becoming a data-driven organization in a fast-moving world - SAS italySAS Italy
SAS italy - Per diventare un’organizzazione data-driven è fondamentale mantenere la Governance del “fiume” di dati a disposizione. Una gestione necessaria che deve strutturarsi attraverso 3 fattori chiave: Persone, Processi e Tecnologie. Scopri nella presentazione di Oliver Penel, SAS EMEA Data Management Business Director, le raccomandazioni, i focus e le giuste domande che le aziende devono porsi per non rischiare di farsi travolgere dall’ondata di informazioni a loro disposizione.
Your first choice high speed internet connections today at lv.netkeemojohn
In addition, the High Speed Internet is one of the big challenges of everyone for this. Think, if you are searching something on the internet and in the middle of your internet link is not firm, it can have an effect on your search, it may take time, not exact search can be in front, etc. Let’s make your search easier and fast with high-speed internet connections.
Enlarge influence by Participating in communitiesKim Kao
This is a moon shot journey for me and DDD Taiwan community. In this talk, tried to wake up people who choose developer as their career but lost passion on problem solving.
The document provides an introduction to the Semantic Web by defining it in multiple ways: a) as a family of Web standards to make data easier to use and reuse, b) as an upgrade to the current Web enabling more intelligent applications, and c) as a collection of metadata technologies to improve business software adaptability and responsiveness. It notes what the Semantic Web is not (e.g. not a better search engine or tagged HTML) and provides examples of how the Semantic Web could benefit individuals by making their lives simpler and businesses by empowering new capabilities and reducing IT costs through standardized metadata linking. Finally, it discusses some early examples and implementations as well as next steps for exploring and prototyping with Semantic
Schema.org Structured data the What, Why, & HowRichard Wallis
This document discusses Schema.org structured data, including its origins in the Semantic Web and Linked Open Data movements. Schema.org was created in 2011 to provide a common vocabulary for structured data markup on web pages. It allows search engines and other applications to understand the intended meaning and relationships of information on web pages. The document provides examples of using Schema.org structured data and microdata, and recommends applying it across various page types to help search engines better understand websites.
A slide deck that can be used for introducing some of the main features of Drupal to enterprises. This is a relatively high-level (mostly-non-technical) presentation geared toward an audience that has little or no previous knowledge of Drupal, but it familiar with general concepts of content management systems.
DataIncubator at Linked Data Meetup February 2010Ian Davis
Data Incubator seeks to address obstacles to publishing Linked Data by organizing community expertise to help data owners understand why and how to publish their data as Linked Data. It provides infrastructure like a website and tools to help model, create schemas, and convert data to Linked Data format. The goal is to reach critical mass of Linked Data to make publishing sustainable while ensuring data ends up on the original owner's site and all work is freely available. Challenges include engaging data owners, improving education, and demonstrating the value of Linked Data.
AWSN Melbourne Feb 2020 Event - How cloud is a data governance game changer b...Reshma Devi
Slides from Paul Macey : Data Governance Industry Trends and how cloud is a data governance game changer
Industry regulations such as ISM and GDPR, together with unrelenting new and existing sources of data arriving at greater speed and volume every day, make automation of data security and metadata a necessity for most commercial and public sector organisations.
In this session we will hear from Paul on what he is experiencing first hand around data governance, internal data and security policies, and culture as he meets with organisations across the Australia, New Zealand, and the world.
This is a session for those wanting to understand the common data challenges experienced in many organisations across the world and how, by moving to cloud, these organisations have been able to break down their data silos to produce insights that were previously unachievable and with data security and data classification automatically applied and catalogued.
This is a session for those wanting to understand how IT and data security together with metadata and data cataloguing can be defined, applied and automated in a repeatable, extensible way. Viewers will walk away with an appreciation of how moving to cloud can enable your organisation to work more securely, faster, and at a scale that was previously not possible, and at a fraction of the cost.
Paul is a Specialist Solution Architect at AWS, specialising in Big Data, Analytics, and Insights. Paul has worked in industries including Telecommunications and Banking, and in his current role, he is spending much of his time with Public Sector customers including Federal Government, Utilities, Universities and Health across Australia and New Zealand.
https://www.linkedin.com/in/paulmacey/
Are you spending your summer down by the Data Lake? If so, then you want to make certain that the lake is clean and that you pick the best place to swim. The Data Lake is the new analytical paradise that many organizations are banking on to become that answer to improved insights. And you need to prevent the lake from turning swampy.
In this month’s RWDG webinar, Bob Seiner and a special guest will focus on how to govern the data in your Data Lake. Bob’s interaction with his guests is always lively, fact filled and this month they will help you to successfully swim through major barriers to provide an effective and valuable data resource.
In this webinar, Bob and his guest will discuss:
- The relationship between Data Lakes and Data Governance
- Preventing your Data Lake from becoming a Data Swamp
- Governing the Metadata associated with your Data Lake
- Leveraging governed data to provide trustworthy Analytics
- Measuring the value of a governed Data Lake
Contextual Computing - Knowledge Graphs & Web of EntitiesRichard Wallis
Richard Wallis gave a presentation on contextual computing and knowledge graphs at the SmartData 2017 conference. He discussed how knowledge graphs powered by structured data on the web are providing global context that enables new applications of cognitive and contextual computing. Schema.org plays a key role by defining a common vocabulary and enabling a web of related entities laid out as a global graph. This graph of entities delivers context on a global scale and lays the foundation for the next revolution in computing.
This document introduces Kevin Grace, the CEO and President of AME who has extensive experience founding and selling technology businesses. It then discusses the need to enhance collaboration between organizations in the Fort Worth entrepreneurship ecosystem, which currently operates in silos trapping value. The document proposes an outcome-oriented framework to create shared value through jobs, funding, talent retention and new businesses by building bridges between groups like universities, entrepreneurs, industries and the government. It argues this can be achieved through collaborative events and sustainable, repeatable activities to strengthen the local innovation and technology community.
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
As DATAVERSITY’s RWDG series hurdles into our 12th year, this webinar takes a quick look behind us, evaluates the present, and predicts the future of Data Governance. Based on webinar numbers, hot Data Governance topics have evolved over the years from policies and best practices, roles and tools, data catalogs and frameworks, to supporting data mesh and fabric, artificial intelligence, virtualization, literacy, and metadata governance.
Join Bob Seiner as he reflects on the past and what has and has not worked, while sharing examples of enterprise successes and struggles. In this webinar, Bob will challenge the audience to stay a step ahead by learning from the past and blazing a new trail into the future of Data Governance.
In this webinar, Bob will focus on:
- Data Governance’s past, present, and future
- How trials and tribulations evolve to success
- Leveraging lessons learned to improve productivity
- The great Data Governance tool explosion
- The future of Data Governance
Slides: Beyond Metadata — Enrich Your Metadata Management with Deep-Level Dat...DATAVERSITY
Today’s growing complexity to the data ecosystem requires organizations to understand data at the data element level. Challenges in data collection such as open text boxes/free form text fields added to the velocity of incoming data increases risk for organizations. This risk is amplified when those organizations rely exclusively on metadata scanning when it comes to discovering and actioning their data. The need to look deeper than basic metadata becomes even more pronounced when dealing with semi-structured or unstructured data commonly found in file shares and email systems. Maintaining compliance and driving business value often requires scanning actual files, interpreting data, flagging risks, and integrating that risk into a data catalog. Going beyond metadata to the actual data element level ensures that your data catalog is a source of truth, which ultimately allows organizations to create agile Data Governance programs.
We’ll walk you through key considerations for going beyond knowing what metadata you have by:
• Underlining the importance of an enhanced, AI-driven data discovery tool to better understand your data and how it is being used
• Discussing components of an effective Metadata Management strategy including data inventories, data dictionaries, and usage requests
• Highlighting how the OneTrust platform embedded with regulatory intelligence helps you to go beyond metadata and address key use cases around unexpected or at-risk unstructured data
A data-driven organization is imperative for the future. The smartphone and the ubiquitous computing have produced an exponential data explosion. From fueling the recent success of “artificial intelligence” (AI) and the rise of “digital transformation” to its accelerated growth due to Covid-19 to new approaches to its “monetization” to how it makes businesses and consumers both anxious and animated, data dominates our deeds, debates, and dreams. If the last decade was about “software eating the world, this decade is about “data eating the world”. Organizations are now faced with the huge challenge of managing, harnessing, and leveraging all of this data. We are still at the very beginning of the data revolution, and of understanding its second, third, and fourth-order effects. Organizations that are successfully transforming their business, technology, and operations strategy to align with their data strategy are the ones that will have a sustainable competitive advantage.
You can read all about ideal governance models that should work, but what does it really take to run a website in higher ed? This study researched staff structures, roles, and skills at colleges and universities so we could share real examples of how day-to-day website management gets done across higher ed.
Similar to Data on the web the benefits of linking (20)
The document outlines a 6-step process for starting a linked data project: 1) survey data assets, 2) start with obvious hubs of information, 3) organize and involve stakeholders, 4) identify a project team, 5) refine data models to enable reuse, and 6) produce and iterate.
The document discusses the challenges of extracting value from vast amounts of content created quickly by The Press Association. It proposes using a content and metadata pattern to simplify abstracting the different types of content, like text, images, video and data. Standardizing identifiers for entities and using "wild" data could help increase the sustainability of the Semantic Web by furthering standards development within communities like the W3C and IPTC.
The Stanford Workshop focused on creating plans to expedite a shift in how knowledge and information resources are managed and discovered through linked data. The goal was to identify capabilities and design new tools, processes, and systems that move beyond current metadata practices to link related resources and provide improved navigation and discovery through open feedback. A number of organizations from around the world participated in the workshop to discuss these issues.
1) The document discusses a vision for linking CRIS (Current Research Information Systems) and OAR (Open Access Repositories) data as Linked Data to improve interoperability in scholarly communication.
2) It proposes using common vocabularies and assigning persistent URIs to entities like publications, authors, projects and organizations to reduce duplication and improve data sharing across domains.
3) Next steps include adopting the KE CRIS-OAR data model and vocabulary and exploring how Linked Data approaches could be used to link publications, research data, and CRIS and OAR domains as part of the OpenAIREplus project.
This document discusses the Linked Open Data University of Münster (LODUM) project. The project aims to provide data about the University of Münster such as information about faculties, students, professors, courses, buildings and other resources as linked open data to increase transparency, visibility, and enable new types of research. It provides an example of searching for reference data from Iceland and discusses next steps such as launching the LODUM data portal and establishing links to data from other universities.
Talis has experience providing Linked Data services for several government agencies in the UK, including Data.gov.uk, the UK Parliament, the BBC, Ordnance Survey, and the Office for National Statistics. Talis hosts and serves Linked Data for over 60 customers using its Prism and Aspire platforms. The UK government aims to be a world leader in open data and transparency through initiatives like Data.gov.uk.
This document provides a high-level history of Talis and the evolution of the internet from 1969 to today:
- It traces the key developments in computing and the internet from 1969 to the present day, including the creation of ARPANET in 1969, email in 1971, the World Wide Web in 1989, and popular sites like Google, Wikipedia, Facebook and YouTube.
- It outlines the founding of Talis in 1969 as BLCMP Co-operative and its transition to a for-profit company in 1999, development of its semantic platform beginning in 2006, and launch of 3 SaaS services in 2008.
- The document describes Talis' philosophy, structure as an employee-owned group with subsid
The document discusses the key concepts of linked data, including identifying things with URIs, representing relationships between things using RDF triples, and using URIs to merge and link data across systems. Linked data relies on web standards like HTTP and RDF, and there are many open datasets and tools available to work with linked data.
This document discusses examples of Linked Data being used in real world applications. It describes how the BBC Wildlife Finder application uses Linked Data to describe different types of animals. It also mentions a problem with search results not being properly returned or described using existing data standards.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
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.