readying the public sector for web-scale data challengesAlex Coley
the journey to now and the challenges being met in building flexible connected data ecosystems
Slides from presentation at Government ICT 2.0 Conference in London, County Hall 26th September 2017
Using DBpedia for Thesaurus Management and Linked Open Data IntegrationMartin Kaltenböck
Using DBpedia for Thesaurus Creation and Management as well as Linked Open Data (LOD) Integration with PoolParty Semantic Suite (http://www.poolparty.biz) at Semantic Web Company (SWC, http://www.semantic-web.at).
Conference: 23rd ICE/IEEE ITMC Conference
(ICE2017).
Madeira, Portugal – June 27-30, 2017
Title of the paper: Configuring and Visualizing The
Data Resources in a Cloud-based Data Collection
Framework
Authors: Wael M. Mohammed, David Aleixo, Borja
Ramis Ferrer, Carlos Agostinho, Jose L. Martinez
Lastra
if you would like to receive a reprint of the
original paper, please contact us.
BDE-BDVA Webinar: BigDataEurope Overview & Synergies with BDVABigData_Europe
Short outline of the project's mission and current status & summary of the identified synergies between BDVA and the project, included those at a technical level.
Conference: 15th International
Conference on Industrial Informatics
(INDIN2017). Emden, Germany – July
24-26, 2017
Title of the paper: Development of a
Mobile Application for the C2NET Supply
Chain Cloud–based Platform
Authors: Enbo Chen, Wael M.
Mohammed, Borja Ramis Ferrer, Jose L.
Martinez Lastra
If you would like to receive a reprint of
the original paper, please contact us
Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...BigData_Europe
Where we are and are going for Big Data in OpenScience
Keynote talk at the Big Data Europe SC6 Workshop on 11.9.2017 in Amsterdam co-located with SEMANTiCS2017: The perspective of European official statistics by Fernando Reis, Task-Force Big Data, European Commission (Eurostat).
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...European Data Forum
Selected Talk by Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, Italy at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Toward Personal Big Data passing through user Transparency, Control and Awareness: a Living-Lab Experience
readying the public sector for web-scale data challengesAlex Coley
the journey to now and the challenges being met in building flexible connected data ecosystems
Slides from presentation at Government ICT 2.0 Conference in London, County Hall 26th September 2017
Using DBpedia for Thesaurus Management and Linked Open Data IntegrationMartin Kaltenböck
Using DBpedia for Thesaurus Creation and Management as well as Linked Open Data (LOD) Integration with PoolParty Semantic Suite (http://www.poolparty.biz) at Semantic Web Company (SWC, http://www.semantic-web.at).
Conference: 23rd ICE/IEEE ITMC Conference
(ICE2017).
Madeira, Portugal – June 27-30, 2017
Title of the paper: Configuring and Visualizing The
Data Resources in a Cloud-based Data Collection
Framework
Authors: Wael M. Mohammed, David Aleixo, Borja
Ramis Ferrer, Carlos Agostinho, Jose L. Martinez
Lastra
if you would like to receive a reprint of the
original paper, please contact us.
BDE-BDVA Webinar: BigDataEurope Overview & Synergies with BDVABigData_Europe
Short outline of the project's mission and current status & summary of the identified synergies between BDVA and the project, included those at a technical level.
Conference: 15th International
Conference on Industrial Informatics
(INDIN2017). Emden, Germany – July
24-26, 2017
Title of the paper: Development of a
Mobile Application for the C2NET Supply
Chain Cloud–based Platform
Authors: Enbo Chen, Wael M.
Mohammed, Borja Ramis Ferrer, Jose L.
Martinez Lastra
If you would like to receive a reprint of
the original paper, please contact us
Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...BigData_Europe
Where we are and are going for Big Data in OpenScience
Keynote talk at the Big Data Europe SC6 Workshop on 11.9.2017 in Amsterdam co-located with SEMANTiCS2017: The perspective of European official statistics by Fernando Reis, Task-Force Big Data, European Commission (Eurostat).
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...European Data Forum
Selected Talk by Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, Italy at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Toward Personal Big Data passing through user Transparency, Control and Awareness: a Living-Lab Experience
This presentation provides an overview on Linked Data, its underlying principles and applications. It further discusses benefits and business models for enterprises;
Held at the Tiroler IT Tag 2010
Big Data Europe at eHealth Week 2017: Linking Big Data in HealthBigData_Europe
Of the four V's of big data – Volume, Velocity, Variety and Veracity – the most challenging for the health sector is Variety. Health data comes from many sources, formats and standards – how can we bring these together to reap the benefits of big data technologies?
Big Data Europe is tackling this challenge head-on, building a big data infrastructure flexible enough to tackle all seven Societal Challenges identified by Horizon 2020. Here we demonstrate our pilot implementation of Open PHACTS, which integrates life science data for drug discovery.
12 May 2017
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...European Data Forum
Selected Talk by Kush Wadhwa, Senior Partner, Trilateral Research & Consulting at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Addressing risks and opportunities engendered by big data: The BYTE project
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
Invited Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology: at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Public Sector Information (PSI) at European Commission (EC)
EDF2014: Franck Cotton & Kamel Gadouche, France: TeraLab - A Secure Big Data...European Data Forum
Selected Talk of Franck Cotton, Technology Advisor, Institut National de la Statistique et des Etudes Economiques, France & Kamel Gadouche, Director, Centre d'Accès Sécurisé aux Données / Groupe des Ecoles Nationales d'Economie et Statistique, France at the European Data Forum 2014, 19 March 2014 in Athens, Greece: TeraLab - A Secure Big Data Platform, Description And Use Cases
PoolParty Semantic Suite: Management Briefing and Functional Overview Martin Kaltenböck
Slides for the presentation of PoolParty Semantic Suite on 12.11. 2015 at KNVI Congres 2015 in Utrecht, the Netherlands, see: http://congres.knvi.info/ by Martin Kaltenböck in the Big Data & Linked Data Session.
EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, A...European Data Forum
Selected Talk by Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Conquering Data in Austria: a technology roadmap
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
Presentation by M. Kaltenböck of Semantic Web Company given at the Linked Open Data MeetUp Mannheim on 23 February 2014 on: Semantic Information Management using PoolParty 4 - explaining PoolParty Semantic Suite with features and applications and real world use cases...
BDE-SC1 Webinar: OpenPHACTS Re-engineered with Big Data EuropeBigData_Europe
Watch this webinar on YouTube: https://youtu.be/MwG0yhrctDs
Slides for the latest update on our Big Data Europe pilot in Societal Challenge 1: Health, Demographic Change and Wellbeing.
Last year we successfully completed the first phase of this pilot, replicating the functionality of the Open PHACTS Discovery Platform on the BDE infrastructure. The Open PHACTS Discovery Platform brings together pharmacological data resources in an integrated, interoperable infrastructure, and has been developed to reduce barriers to drug discovery for industry, academia, and small businesses.
Learn more about the progress we’ve made, and what’s coming next.
1. General overview of the Big Data Europe project and Societal Challenges it addresses (Ronald Siebes, VU Amsterdam)
2. The Big Data Europe infrastructure, generic components that are being developed, and their flexibility for different applications (Hajira Jabeen, University of Bonn)
3. Latest details of the current state of the Open PHACTS architecture in BDE, and ongoing work (Nick Lynch, CTO, Open PHACTS Foundation)
EUDAT Service Suite Overview - EUDAT Summer School (Shaun de Witt, CCFE)EUDAT
Shaun will give an overview to the EUDAT service suite, explaining the key function and role of the different B2 services and how they interconnect. Examples will be given of how each service has been used by communities to explain the nature and scale of the service provision. We show how the B2 Service Suite can be linked to the data lifecycle and the role of each component in any data management planning. By the end of this talk, users should have a good overview of each of the B2 services and how they do, or will, fit together, and how they can be used as a part of a coherent data management plan.
Visit https://eudat.eu/eudat-summer-school
EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...European Data Forum
Selected Talk by Nikolaos Loutas, Manager at PwC Belgium at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Business Models for Linked Government Data: What lies beneath?
A presentation of the Dutch Techcentre for Life Sciences FAIR Data ecosystem given at the BlueBridge workshop, a pre-event of the Research Data Alliance's 9th Plenary
This presentation provides an overview on Linked Data, its underlying principles and applications. It further discusses benefits and business models for enterprises;
Held at the Tiroler IT Tag 2010
Big Data Europe at eHealth Week 2017: Linking Big Data in HealthBigData_Europe
Of the four V's of big data – Volume, Velocity, Variety and Veracity – the most challenging for the health sector is Variety. Health data comes from many sources, formats and standards – how can we bring these together to reap the benefits of big data technologies?
Big Data Europe is tackling this challenge head-on, building a big data infrastructure flexible enough to tackle all seven Societal Challenges identified by Horizon 2020. Here we demonstrate our pilot implementation of Open PHACTS, which integrates life science data for drug discovery.
12 May 2017
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...European Data Forum
Selected Talk by Kush Wadhwa, Senior Partner, Trilateral Research & Consulting at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Addressing risks and opportunities engendered by big data: The BYTE project
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
Invited Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology: at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Public Sector Information (PSI) at European Commission (EC)
EDF2014: Franck Cotton & Kamel Gadouche, France: TeraLab - A Secure Big Data...European Data Forum
Selected Talk of Franck Cotton, Technology Advisor, Institut National de la Statistique et des Etudes Economiques, France & Kamel Gadouche, Director, Centre d'Accès Sécurisé aux Données / Groupe des Ecoles Nationales d'Economie et Statistique, France at the European Data Forum 2014, 19 March 2014 in Athens, Greece: TeraLab - A Secure Big Data Platform, Description And Use Cases
PoolParty Semantic Suite: Management Briefing and Functional Overview Martin Kaltenböck
Slides for the presentation of PoolParty Semantic Suite on 12.11. 2015 at KNVI Congres 2015 in Utrecht, the Netherlands, see: http://congres.knvi.info/ by Martin Kaltenböck in the Big Data & Linked Data Session.
EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, A...European Data Forum
Selected Talk by Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Conquering Data in Austria: a technology roadmap
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
Presentation by M. Kaltenböck of Semantic Web Company given at the Linked Open Data MeetUp Mannheim on 23 February 2014 on: Semantic Information Management using PoolParty 4 - explaining PoolParty Semantic Suite with features and applications and real world use cases...
BDE-SC1 Webinar: OpenPHACTS Re-engineered with Big Data EuropeBigData_Europe
Watch this webinar on YouTube: https://youtu.be/MwG0yhrctDs
Slides for the latest update on our Big Data Europe pilot in Societal Challenge 1: Health, Demographic Change and Wellbeing.
Last year we successfully completed the first phase of this pilot, replicating the functionality of the Open PHACTS Discovery Platform on the BDE infrastructure. The Open PHACTS Discovery Platform brings together pharmacological data resources in an integrated, interoperable infrastructure, and has been developed to reduce barriers to drug discovery for industry, academia, and small businesses.
Learn more about the progress we’ve made, and what’s coming next.
1. General overview of the Big Data Europe project and Societal Challenges it addresses (Ronald Siebes, VU Amsterdam)
2. The Big Data Europe infrastructure, generic components that are being developed, and their flexibility for different applications (Hajira Jabeen, University of Bonn)
3. Latest details of the current state of the Open PHACTS architecture in BDE, and ongoing work (Nick Lynch, CTO, Open PHACTS Foundation)
EUDAT Service Suite Overview - EUDAT Summer School (Shaun de Witt, CCFE)EUDAT
Shaun will give an overview to the EUDAT service suite, explaining the key function and role of the different B2 services and how they interconnect. Examples will be given of how each service has been used by communities to explain the nature and scale of the service provision. We show how the B2 Service Suite can be linked to the data lifecycle and the role of each component in any data management planning. By the end of this talk, users should have a good overview of each of the B2 services and how they do, or will, fit together, and how they can be used as a part of a coherent data management plan.
Visit https://eudat.eu/eudat-summer-school
EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...European Data Forum
Selected Talk by Nikolaos Loutas, Manager at PwC Belgium at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Business Models for Linked Government Data: What lies beneath?
A presentation of the Dutch Techcentre for Life Sciences FAIR Data ecosystem given at the BlueBridge workshop, a pre-event of the Research Data Alliance's 9th Plenary
In an expert webinar on April 15th 2020 we discussed (in Finnish) how the FAIR data principles affect service development in RDM services. I presented some relevant outputs from the FAIRsFAIR project. These are the slides (in English). The webinar will be published on the fairdata.fi service site https://www.fairdata.fi/koulutus/koulutuksen-tallenteet/
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)EUDAT
EUDAT and PRACE joined forces to help research communities gain access to high quality managed e-Infrastructures whose resources can be connected together to enable cross-utilization use cases and make them accessible without any technical barrier. The capability to couple data and compute resources together is considered one of the key factors to accelerate scientific innovation and advance research frontiers. The goal of this session was to present the EUDAT services, the results of the collaboration activity achieved so far and delivers a hands-on on how to write a Data Management Plan or DMP. The DMP is a useful instrument for researchers to reflect on and communicate about the way they will deal with their data. It prompts them to think about how they will generate, analyse and share data during their research project and afterwards.
Visit: https://www.eudat.eu/eudat-summer-school
| www.eudat.eu | B2FIND Integration Version 4 February 2017: The aim of this presentation is to illustrate how metadata can be published in the B2FIND catalogue and how EUDAT’s B2FIND metadata catalogue can be integrated.
LIBER Webinar: Turning FAIR Data Into RealityLIBER Europe
These slides relate to a LIBER Webinar given on 23 April 2018. Turning FAIR Data Into Reality — Progress and Plans from the European Commission FAIR Data Expert Group.
In this webinar, Simon Hodson, Executive Director of CODATA and Chair of the FAIR Data Expert Group, and Sarah Jones, Associate Director at the Digital Curation Centre and Rapporteur, reported on the Group’s progress.
PlanetData project was presented by Elena Simperl and Barry Norton from Karlsruhe Institute of Technology at the 1st International Symposium on Data-driven Process Discovery and Analysis on June 30, 2011 in Campione d’Italia, Italy
Presentation by Luiz Olavo Bonino, Dutch Techcentre & Vrije University Amsterdam.
As one of the organisations present at the Lorentz workshop in January 2014 where the concept of FAIR Data has been created, the Dutch Techcentre for Life Sciences has, since then, worked on a number of solutions to support the adoption and dissemination of the FAIR Data Principles. This presentation presents the ecosystem on how to support FAIR data.
Apache Kafka and the Data Mesh | Michael Noll, ConfluentHostedbyConfluent
Data mesh is a relatively recent term that describes a set of principles that good modern data systems uphold. A kind of “microservices” for the data-centric world. While the data mesh is not technology-specific as a pattern, the building of systems that adopt and implement data mesh principles have a relatively long history under different guises.
In this talk, we share our recommendations and picks of what every developer should know about building a streaming data mesh with Kafka. We introduce the four principles of the data mesh: domain-driven decentralization, data as a product, self-service data platform, and federated governance. We then cover topics such as the differences between working with event streams versus centralized approaches and highlight the key characteristics that make streams a great fit for implementing a mesh, such as their ability to capture both real-time and historical data. We’ll examine how to onboard data from existing systems into a mesh, modelling the communication within the mesh, how to deal with changes to your domain’s “public” data, give examples of global standards for governance, and discuss the importance of taking a product-centric view on data sources and the data sets they share.
Logical Data Fabric: Architectural ComponentsDenodo
Watch full webinar here: https://bit.ly/39MWm7L
Is the Logical Data Fabric one monolithic technology or does it comprise of various components? If so, what are they? In this presentation, Denodo CTO Alberto Pan will elucidate what components make up the logical data fabric.
Enabling Self-service Data Provisioning Through Semantic Enrichment of Data |...Ahmad Assaf
Publicly available datasets contain knowledge from various domains such as encyclopedic, government, geographic, entertainment and so on. The increasing diversity of these datasets makes it difficult to annotate them with a fixed number of pre-defined tags. Moreover, manually entered tags are subjective and may not capture their essence and breadth. We propose a mechanism to automatically attach meta information to data objects by leveraging knowledge bases like DBpedia and Freebase which facilitates data search and acquisition for business users.
Linked Open Data (LOD) has emerged as one of the largest collections of interlinked datasets on the web. In order to benefit from this mine of data, one needs to access to descriptive information about each dataset (or metadata). This metadata enables dataset discovery, understanding, integration and maintenance. Data portals, which are datasets' access points, offer metadata represented in different and heterogeneous models. We first propose a harmonized dataset model based on a systematic literature survey that enables complete metadata coverage to enable data discovery, exploration and reuse by business users. Second, rich metadata information is currently very limited to a few data portals where they are usually provided manually, thus being often incomplete and inconsistent in terms of quality. We propose a scalable automatic approach for extracting, validating, correcting and generating descriptive linked dataset profiles. This approach applies several techniques in order to check the validity of the metadata provided and to generate descriptive and statistical information for a particular dataset or for an entire data portal.
Traditional data quality is a thoroughly researched field with several benchmarks and frameworks to grasp its dimensions. Ensuring data quality in Linked Open Data is much more complex. It consists of structured information supported by models, ontologies and vocabularies and contains queryable endpoints and links. We propose an objective assessment framework for Linked Data quality based on quality metrics that can be automatically measured. We further present an extensible quality measurement tool implementing this framework that helps on one hand data owners to rate the quality of their datasets and get some hints on possible improvements, and on the other hand data consumers to choose their data sources from a ranked set.
FAIR Data
Principles
FAIR vs Open Data
Implementing FAIR & FAIRmetrics
FAIRness de ASIO-HERCULES
Research Objects
Definition
Standard RO-CRATE
Usage examples
This presentation was given during the 2nd Solid Amsterdam Meetup on January 30th at the VU in Amsterdam about Solid business models and governance aspects.
This presentation was given by Pieter van Everdingen, the community manager of PLDN during a Solid session at the ECP Jaarcongres on November 14th in The Hague. PLDN supports local Solid leads in setting up Solid activities in the Netherlands in collaboration with the Solid project organization.
This PLDN presentation (in Dutch) gives an introduction on the main concepts of Linked Data and of the activities of the open network community Platform Linked Data Netherlands (PLDN). This presentation was used during the Jaarcongres ECP on November 14th at the Fokker Terminal in The Hague at the PLDN information booth.
This presentation was given at the WDCC Meetup Practical Applications of Linked Data on September 26th at the Wageningen University & Research (WUR).
The intention of this presentation was to give the audience an idea of how Linked Data works and what the role of Linked Data can be for better cross border and cross disciplinary research and more open and better connected research data when you want e.g. to build an international open research data infrastructure like EOSC using a GO FAIR approach.
#LinkedData #OpenAcess #OpenScience #OpenResearchData #interoperabilty #connectivity #DataSharing #SmartCollaboration #NoUnnecessaryDataCopies #RDF #triples #URIs #PIDs #taxonomies #thesauri #ontologies #vocabularies #SKOS #RDFS #OWL #SHACL #SPARQL #OpenAPIs #REST #KnowledgeGraphs #DataClouds #CrossBorder #CrossDomain #CrossDisciplinary #FAIR #GOFAIR #FAIRification #FAIRifier #FDPs #FAIRDataPoints #IFDS #InternetOfFAIRDataAndServices #EOSC #EuropeanOpenScienceCloud #Solid #PODS #DataOwnership #GDPR #AVG #CompatibleDataShapes #MetadataShapes
This is one of the presentations from the first Solid The Hague session that was organized by Bart Roorda (Vierde Vrijdag) and Pieter van Everdingen (PLDN). Slide 2 of this presentation has a link to one of the other presentations that was given at this session by Bart (that is not working, but the URL is https://slides.com/bartwr/solid-meetup-1#/).
And the complete set of tags that I wanted to add is (20+):
#LinkedDataNL #Solid #Inrupt #movement #community #ecosystem #decentralization #universality #freedomofchoice #permissionlessinnovation #PODS #apps #decoupled #nodatalockin #interoperability #openstandards #rdf #turtle #sparql #jsonld #datashapes #layeredcompatibility #recognisableshapes #developerexperience #ldflex #dsl #expressionlanguage #hiddencomplexity #sparqlunderthehood #sparqllibraries #sparqltooling #await #clientsidequeries #shapes #forms #footprints #flexibility #shapedrivendevelopment #bestpractices #reuse #share #collaborate #play #interact #datamarkets #appmarkets #opencompetition #fortheweb #webwewant
More from Platform Linked Data Netherlands (PLDN) (13)
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
Italy Agriculture Equipment Market Outlook to 2027harveenkaur52
Agriculture and Animal Care
Ken Research has an expertise in Agriculture and Animal Care sector and offer vast collection of information related to all major aspects such as Agriculture equipment, Crop Protection, Seed, Agriculture Chemical, Fertilizers, Protected Cultivators, Palm Oil, Hybrid Seed, Animal Feed additives and many more.
Our continuous study and findings in agriculture sector provide better insights to companies dealing with related product and services, government and agriculture associations, researchers and students to well understand the present and expected scenario.
Our Animal care category provides solutions on Animal Healthcare and related products and services, including, animal feed additives, vaccination
Understanding User Behavior with Google Analytics.pdfSEO Article Boost
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
1. FAIR Data: The New DefaultFAIR Data: The New Default
Wouter Beek ( )
h ps://triply.cc
wouter@triply.cc
2. We always show the cost…We always show the cost…
…but never the bene t.…but never the bene t.
3. Tim Berners-Lee “Tabulator Redux” (2007)
“The Seman c Web has lacked an
essen al element which the WWW
had from the start: the immediate
gra fica on for informa on
providers to see the results of their
efforts on a screen.”
4. FAIR dataFAIR data
“The FAIR Guiding Principles for scien fic data
management and stewardship”
6. FindableFindable
1. [F1] (Meta)data are assigned a globally unique
and eternally persistent iden fier.
2. [F2] Data are described with rich metadata.
3. (Meta)data are registered or indexed in a
searchable resource.
4. Metadata specify the data iden fier.
7. AccessibleAccessible
1. (Meta)data are retrievable by their iden fier using
a standardized communica ons protocol.
2. [A2] The protocol is open, free, and universally
implementable.
3. The protocol allows for an authen ca on and
authoriza on procedure, where necessary.
4. Metadata are accessible, even when the data are
no longer available.
8. InteroperableInteroperable
1. [I1] (Meta)data use a formal, accessible, shared,
and broadly applicable language for knowledge
representa on.
2. (Meta)data use vocabularies that follow FAIR
principles.
3. (Meta)data include qualified references to other
(meta)data.
9. Re-usableRe-usable
1. Meta(data) have a plurality of accurate and
relevant a ributes.
2. (Meta)data are released with a clear and
accessible data usage license.
3. (Meta)data are associated with their provenance.
4. [R4] (Meta)data meet domain-relevant
community standards.
10. [F1] Linked Data cost/bene t[F1] Linked Data cost/bene t
CostCost
(Meta)data are assigned a globally unique and eternally
persistent iden fier.
Bene tBene t
Zero-cost data integra on.
11. [F1] Zero-cost data integration[F1] Zero-cost data integration
Combining energylabels and buildings.
12. [F2] Linked Data cost/bene t[F2] Linked Data cost/bene t
CostCost
Data are described with rich metadata.
Bene tBene t
[F2a] Findable in popular search engines.
[F2b] Sharable in social media pla orms.
13. [F2a] Findable in popular search engines[F2a] Findable in popular search engines
Search for “gemeentegeschiedenis”.
14. [F2b] Sharable in social media platforms[F2b] Sharable in social media platforms
Sharing iden fier
https://data.labs.kadaster.nl/kadaster/bag/Pand in .Twi er
15. Linked Data cost/bene tLinked Data cost/bene t
CostCost
[A2] The protocol is open, free, and universally
implementable
Bene tBene t
Connect lots of external applica ons
16. [A2] Data linking with Silk[A2] Data linking with Silk
silkframework.org
17. [A2] Vocabulary visualization & editing with WebVOWL[A2] Vocabulary visualization & editing with WebVOWL
vowl.visualdataweb.org
18. [R4] Linked Data cost/bene t[R4] Linked Data cost/bene t
CostCost
(Meta)data meet domain-relevant community
standards.
Bene tBene t
Data can immediately be visualized based on
seman cs.
19. [R4] Geospatial information (community standard:[R4] Geospatial information (community standard:
GeoSPARQL)GeoSPARQL)
Kadaster Knowledge Graph: key registries, company registry,
monument registry, energy labels, etc.
20. [R4] Statistical information (community standard: Data Cube)[R4] Statistical information (community standard: Data Cube)
).
Life expectancy for the countries of the world over me
(dataset: Gapminder
21. [R4] Temporal information (community standard: OWL Time)[R4] Temporal information (community standard: OWL Time)
Timeline of cars produced by Ford, Chevrolet, Porsche, and
Toyota between 1903 and 2016 (dataset: DBpedia).
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