SlideShare una empresa de Scribd logo
1 de 58
kaitlin thaney
mgr, external partnerships
xi. background
technology company
   publisher link
 london, nyc, tokyo
1. science is changing
research
                   idea

     publish                   lit review


share results                   materials

                   retest
      analyze                  experiment

                collect data
blocking points
                (to name a few ... )
                       idea

     publish                      lit review


share results                       materials

                       retest
      analyze                     experiment

                   collect data
text text
   text
discovery &
  delivery
  content
   data
  materials
changes at the
  workbench
knowledge exchange
materials, machines
     ordering
   automation
annotation &
  curation
machine-readable
   ontologies
   metadata
social &
administrative
  P&T systems / funding
        reputation
      policy making
incentives / impact factor
gaps still exist
remaining
roadblocks
specialisation of tools (+/-)
      interoperability
        accessibility
     design decisions
     the “social issue”
efficient search
     discoverability
information management
         analysis
        incentives
2. focus areas
(3)
knowledge discovery
software applications
research management
knowledge discovery
software applications
research management
steps towards better
annotation and search
text text
   text
can fine-tune
name disambiguation
10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one
knowledge discovery
software applications
research management
CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
better
 tracking
is needed
knowledge discovery
software applications
research management
data capture
(of a different sort)
imperfect system
“Right now we're going through a
 Cambrian explosion of metrics.”
                       - Johan Bollen




                  Nature 465, 864-866 (2010) | doi:10.1038/465864a
in terms of sheer volume
        and type
citation / impact factor
              h - index
weighted citations (eigenfactor, sjr)
     “betweenness centrality”
          alt-metrics, etc.
difficult to ...
     harmonise
  track /maintain
        reward
(even still measure)
3. the business
investment arm
 incubator role
  in-house dev
tiered approach
    build to scale
researcher-focused
RAE teams                         pharma
                   startups
tools developers
                              content providers

partners/collaborators
                            big business
               funding agencies
researchers
        grant officers        administrators
RAE teams                         pharma
                   startups
tools developers
                              content providers

         work with us
                            big business
               funding agencies
researchers
        grant officers        administrators
4. our goal
software that
understands science
software that
understands scientists
more efficient research
increase productivity
    better science
thank you.

k.thaney@digital-science.com
   www.digital-science.com

Más contenido relacionado

La actualidad más candente

Nicole Nogoy's talk at eResearchNZ 2014: Improving data sharing, integration ...
Nicole Nogoy's talk at eResearchNZ 2014: Improving data sharing, integration ...Nicole Nogoy's talk at eResearchNZ 2014: Improving data sharing, integration ...
Nicole Nogoy's talk at eResearchNZ 2014: Improving data sharing, integration ...GigaScience, BGI Hong Kong
 
Machines are people too
Machines are people tooMachines are people too
Machines are people tooPaul Groth
 
Nicole Nogoy: GigaScience...how licensing can change the way we do research
Nicole Nogoy: GigaScience...how licensing can change the way we do researchNicole Nogoy: GigaScience...how licensing can change the way we do research
Nicole Nogoy: GigaScience...how licensing can change the way we do researchGigaScience, BGI Hong Kong
 
Bionimbus: Towards One Million Genomes (XLDB 2012 Lecture)
Bionimbus: Towards One Million Genomes (XLDB 2012 Lecture)Bionimbus: Towards One Million Genomes (XLDB 2012 Lecture)
Bionimbus: Towards One Million Genomes (XLDB 2012 Lecture)Robert Grossman
 
Enabling knowledge management in the Agronomic Domain
Enabling knowledge management in the Agronomic DomainEnabling knowledge management in the Agronomic Domain
Enabling knowledge management in the Agronomic DomainPierre Larmande
 
Contractor-Borner-SNA-SAC
Contractor-Borner-SNA-SACContractor-Borner-SNA-SAC
Contractor-Borner-SNA-SACwebuploader
 
Making the web work for science - eResearch nz
Making the web work for science - eResearch nzMaking the web work for science - eResearch nz
Making the web work for science - eResearch nzKaitlin Thaney
 
The need for a transparent data supply chain
The need for a transparent data supply chainThe need for a transparent data supply chain
The need for a transparent data supply chainPaul Groth
 
Sci Know Mine 2013: What can we learn from topic modeling on 350M academic do...
Sci Know Mine 2013: What can we learn from topic modeling on 350M academic do...Sci Know Mine 2013: What can we learn from topic modeling on 350M academic do...
Sci Know Mine 2013: What can we learn from topic modeling on 350M academic do...William Gunn
 
FAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practiceFAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practiceCarole Goble
 
2015 balti-and-bioinformatics
2015 balti-and-bioinformatics2015 balti-and-bioinformatics
2015 balti-and-bioinformaticsc.titus.brown
 
Executive Summary - Data Management Hub
Executive Summary - Data Management HubExecutive Summary - Data Management Hub
Executive Summary - Data Management HubDenis Parfenov
 
Data science and privacy regulation
Data science and privacy regulationData science and privacy regulation
Data science and privacy regulationblogzilla
 
ESA Ignite talk on UC3 Dash platform for data sharing
ESA Ignite talk on UC3 Dash platform for data sharingESA Ignite talk on UC3 Dash platform for data sharing
ESA Ignite talk on UC3 Dash platform for data sharingCarly Strasser
 
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...Merce Crosas
 
CDL Tools for DataCite 2014
CDL Tools for DataCite 2014CDL Tools for DataCite 2014
CDL Tools for DataCite 2014Carly Strasser
 
enabling communities of researchers working together across institutional bou...
enabling communities of researchers working together across institutional bou...enabling communities of researchers working together across institutional bou...
enabling communities of researchers working together across institutional bou...Brian Bot
 

La actualidad más candente (20)

Nicole Nogoy's talk at eResearchNZ 2014: Improving data sharing, integration ...
Nicole Nogoy's talk at eResearchNZ 2014: Improving data sharing, integration ...Nicole Nogoy's talk at eResearchNZ 2014: Improving data sharing, integration ...
Nicole Nogoy's talk at eResearchNZ 2014: Improving data sharing, integration ...
 
Machines are people too
Machines are people tooMachines are people too
Machines are people too
 
Nicole Nogoy: GigaScience...how licensing can change the way we do research
Nicole Nogoy: GigaScience...how licensing can change the way we do researchNicole Nogoy: GigaScience...how licensing can change the way we do research
Nicole Nogoy: GigaScience...how licensing can change the way we do research
 
Bionimbus: Towards One Million Genomes (XLDB 2012 Lecture)
Bionimbus: Towards One Million Genomes (XLDB 2012 Lecture)Bionimbus: Towards One Million Genomes (XLDB 2012 Lecture)
Bionimbus: Towards One Million Genomes (XLDB 2012 Lecture)
 
A First Step Towards Content Protecting Plagiarism Detection
A First Step Towards Content Protecting Plagiarism Detection  A First Step Towards Content Protecting Plagiarism Detection
A First Step Towards Content Protecting Plagiarism Detection
 
Enabling knowledge management in the Agronomic Domain
Enabling knowledge management in the Agronomic DomainEnabling knowledge management in the Agronomic Domain
Enabling knowledge management in the Agronomic Domain
 
Contractor-Borner-SNA-SAC
Contractor-Borner-SNA-SACContractor-Borner-SNA-SAC
Contractor-Borner-SNA-SAC
 
Making the web work for science - eResearch nz
Making the web work for science - eResearch nzMaking the web work for science - eResearch nz
Making the web work for science - eResearch nz
 
The need for a transparent data supply chain
The need for a transparent data supply chainThe need for a transparent data supply chain
The need for a transparent data supply chain
 
Sci Know Mine 2013: What can we learn from topic modeling on 350M academic do...
Sci Know Mine 2013: What can we learn from topic modeling on 350M academic do...Sci Know Mine 2013: What can we learn from topic modeling on 350M academic do...
Sci Know Mine 2013: What can we learn from topic modeling on 350M academic do...
 
Uc3 pasig-asis&t-2013-08-20-support-of-data-intensive-research
Uc3 pasig-asis&t-2013-08-20-support-of-data-intensive-researchUc3 pasig-asis&t-2013-08-20-support-of-data-intensive-research
Uc3 pasig-asis&t-2013-08-20-support-of-data-intensive-research
 
FAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practiceFAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practice
 
2015 balti-and-bioinformatics
2015 balti-and-bioinformatics2015 balti-and-bioinformatics
2015 balti-and-bioinformatics
 
Executive Summary - Data Management Hub
Executive Summary - Data Management HubExecutive Summary - Data Management Hub
Executive Summary - Data Management Hub
 
Data science and privacy regulation
Data science and privacy regulationData science and privacy regulation
Data science and privacy regulation
 
ESA Ignite talk on UC3 Dash platform for data sharing
ESA Ignite talk on UC3 Dash platform for data sharingESA Ignite talk on UC3 Dash platform for data sharing
ESA Ignite talk on UC3 Dash platform for data sharing
 
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
 
CDL Tools for DataCite 2014
CDL Tools for DataCite 2014CDL Tools for DataCite 2014
CDL Tools for DataCite 2014
 
enabling communities of researchers working together across institutional bou...
enabling communities of researchers working together across institutional bou...enabling communities of researchers working together across institutional bou...
enabling communities of researchers working together across institutional bou...
 
(Bio)Hackathons
(Bio)Hackathons(Bio)Hackathons
(Bio)Hackathons
 

Similar a Digital Science

A Big Picture in Research Data Management
A Big Picture in Research Data ManagementA Big Picture in Research Data Management
A Big Picture in Research Data ManagementCarole Goble
 
Policy Lunchbox - Digital Science
Policy Lunchbox - Digital SciencePolicy Lunchbox - Digital Science
Policy Lunchbox - Digital ScienceKaitlin Thaney
 
Implementing Semantic Search
Implementing Semantic SearchImplementing Semantic Search
Implementing Semantic SearchPaul Wlodarczyk
 
Human Genome and Big Data Challenges
Human Genome and Big Data ChallengesHuman Genome and Big Data Challenges
Human Genome and Big Data ChallengesPhilip Bourne
 
Future of text analysis forrester briefing
Future of text analysis   forrester briefingFuture of text analysis   forrester briefing
Future of text analysis forrester briefingStuart Shulman
 
Federated Search Webinar for SLA (Special Libraries Assoc.)
Federated Search Webinar for SLA (Special Libraries Assoc.)Federated Search Webinar for SLA (Special Libraries Assoc.)
Federated Search Webinar for SLA (Special Libraries Assoc.)Helen Mitchell
 
Machine Learned Relevance at A Large Scale Search Engine
Machine Learned Relevance at A Large Scale Search EngineMachine Learned Relevance at A Large Scale Search Engine
Machine Learned Relevance at A Large Scale Search EngineSalford Systems
 
National Data Integrity Conference - Making the web work for science
National Data Integrity Conference - Making the web work for scienceNational Data Integrity Conference - Making the web work for science
National Data Integrity Conference - Making the web work for scienceKaitlin Thaney
 
Search Solutions 2011: Successful Enterprise Search By Design
Search Solutions 2011: Successful Enterprise Search By DesignSearch Solutions 2011: Successful Enterprise Search By Design
Search Solutions 2011: Successful Enterprise Search By DesignMarianne Sweeny
 
Talk on Research Data Management
Talk on Research Data ManagementTalk on Research Data Management
Talk on Research Data ManagementAnita de Waard
 
Exploring and accessing knowledge in Research
Exploring and accessing knowledge in ResearchExploring and accessing knowledge in Research
Exploring and accessing knowledge in ResearchNabeel Salih Ali
 
Research Objects for FAIRer Science
Research Objects for FAIRer Science Research Objects for FAIRer Science
Research Objects for FAIRer Science Carole Goble
 
Asis&t webinar people directories access innovations
Asis&t webinar people directories access innovationsAsis&t webinar people directories access innovations
Asis&t webinar people directories access innovationsBert Carelli
 
IR Strangelove or: How I Learned to Stop Worrying and Love the Institutional ...
IR Strangelove or: How I Learned to Stop Worrying and Love the Institutional ...IR Strangelove or: How I Learned to Stop Worrying and Love the Institutional ...
IR Strangelove or: How I Learned to Stop Worrying and Love the Institutional ...OCLC Research
 
Lost In Translation: When Machines Meet STM Content
Lost In Translation: When Machines Meet STM ContentLost In Translation: When Machines Meet STM Content
Lost In Translation: When Machines Meet STM Contentscrazzl
 
"Building Capacity for Open Research" - AAMC
"Building Capacity for Open Research" - AAMC"Building Capacity for Open Research" - AAMC
"Building Capacity for Open Research" - AAMCKaitlin Thaney
 
Building the FAIR Research Commons: A Data Driven Society of Scientists
Building the FAIR Research Commons: A Data Driven Society of ScientistsBuilding the FAIR Research Commons: A Data Driven Society of Scientists
Building the FAIR Research Commons: A Data Driven Society of ScientistsCarole Goble
 
Dataset Citation and Identification
Dataset Citation and IdentificationDataset Citation and Identification
Dataset Citation and Identificationguest453b14
 

Similar a Digital Science (20)

A Big Picture in Research Data Management
A Big Picture in Research Data ManagementA Big Picture in Research Data Management
A Big Picture in Research Data Management
 
Policy Lunchbox - Digital Science
Policy Lunchbox - Digital SciencePolicy Lunchbox - Digital Science
Policy Lunchbox - Digital Science
 
Implementing Semantic Search
Implementing Semantic SearchImplementing Semantic Search
Implementing Semantic Search
 
Human Genome and Big Data Challenges
Human Genome and Big Data ChallengesHuman Genome and Big Data Challenges
Human Genome and Big Data Challenges
 
2 purpose of business research, inductive & deductive approaches
2 purpose of business research, inductive & deductive approaches2 purpose of business research, inductive & deductive approaches
2 purpose of business research, inductive & deductive approaches
 
Future of text analysis forrester briefing
Future of text analysis   forrester briefingFuture of text analysis   forrester briefing
Future of text analysis forrester briefing
 
Federated Search Webinar for SLA (Special Libraries Assoc.)
Federated Search Webinar for SLA (Special Libraries Assoc.)Federated Search Webinar for SLA (Special Libraries Assoc.)
Federated Search Webinar for SLA (Special Libraries Assoc.)
 
Machine Learned Relevance at A Large Scale Search Engine
Machine Learned Relevance at A Large Scale Search EngineMachine Learned Relevance at A Large Scale Search Engine
Machine Learned Relevance at A Large Scale Search Engine
 
Holmes "Institutional Infrastructure for Data Sharing"
Holmes "Institutional Infrastructure for Data Sharing"Holmes "Institutional Infrastructure for Data Sharing"
Holmes "Institutional Infrastructure for Data Sharing"
 
National Data Integrity Conference - Making the web work for science
National Data Integrity Conference - Making the web work for scienceNational Data Integrity Conference - Making the web work for science
National Data Integrity Conference - Making the web work for science
 
Search Solutions 2011: Successful Enterprise Search By Design
Search Solutions 2011: Successful Enterprise Search By DesignSearch Solutions 2011: Successful Enterprise Search By Design
Search Solutions 2011: Successful Enterprise Search By Design
 
Talk on Research Data Management
Talk on Research Data ManagementTalk on Research Data Management
Talk on Research Data Management
 
Exploring and accessing knowledge in Research
Exploring and accessing knowledge in ResearchExploring and accessing knowledge in Research
Exploring and accessing knowledge in Research
 
Research Objects for FAIRer Science
Research Objects for FAIRer Science Research Objects for FAIRer Science
Research Objects for FAIRer Science
 
Asis&t webinar people directories access innovations
Asis&t webinar people directories access innovationsAsis&t webinar people directories access innovations
Asis&t webinar people directories access innovations
 
IR Strangelove or: How I Learned to Stop Worrying and Love the Institutional ...
IR Strangelove or: How I Learned to Stop Worrying and Love the Institutional ...IR Strangelove or: How I Learned to Stop Worrying and Love the Institutional ...
IR Strangelove or: How I Learned to Stop Worrying and Love the Institutional ...
 
Lost In Translation: When Machines Meet STM Content
Lost In Translation: When Machines Meet STM ContentLost In Translation: When Machines Meet STM Content
Lost In Translation: When Machines Meet STM Content
 
"Building Capacity for Open Research" - AAMC
"Building Capacity for Open Research" - AAMC"Building Capacity for Open Research" - AAMC
"Building Capacity for Open Research" - AAMC
 
Building the FAIR Research Commons: A Data Driven Society of Scientists
Building the FAIR Research Commons: A Data Driven Society of ScientistsBuilding the FAIR Research Commons: A Data Driven Society of Scientists
Building the FAIR Research Commons: A Data Driven Society of Scientists
 
Dataset Citation and Identification
Dataset Citation and IdentificationDataset Citation and Identification
Dataset Citation and Identification
 

Más de Kaitlin Thaney

Megaphones to (No)where: On Sustaining Change
Megaphones to (No)where:  On Sustaining ChangeMegaphones to (No)where:  On Sustaining Change
Megaphones to (No)where: On Sustaining ChangeKaitlin Thaney
 
Lessons in Resilience - International Women's Day Keynote @ Brooklyn College
Lessons in Resilience - International Women's Day Keynote @ Brooklyn CollegeLessons in Resilience - International Women's Day Keynote @ Brooklyn College
Lessons in Resilience - International Women's Day Keynote @ Brooklyn CollegeKaitlin Thaney
 
Building Capacity for Open Science
Building Capacity for Open ScienceBuilding Capacity for Open Science
Building Capacity for Open ScienceKaitlin Thaney
 
Fueling the Open Movement - Compute Midwest
Fueling the Open Movement - Compute MidwestFueling the Open Movement - Compute Midwest
Fueling the Open Movement - Compute MidwestKaitlin Thaney
 
Shifting Scientific Practice - ORCID 2015
Shifting Scientific Practice - ORCID 2015Shifting Scientific Practice - ORCID 2015
Shifting Scientific Practice - ORCID 2015Kaitlin Thaney
 
Mozilla Science Lab 101
Mozilla Science Lab 101Mozilla Science Lab 101
Mozilla Science Lab 101Kaitlin Thaney
 
Building capacity for open science - COASP Meeting
Building capacity for open science - COASP MeetingBuilding capacity for open science - COASP Meeting
Building capacity for open science - COASP MeetingKaitlin Thaney
 
Capturing Contribution - ARCS
Capturing Contribution - ARCSCapturing Contribution - ARCS
Capturing Contribution - ARCSKaitlin Thaney
 
Piloting Contributorship Badges for Science
Piloting Contributorship Badges for SciencePiloting Contributorship Badges for Science
Piloting Contributorship Badges for ScienceKaitlin Thaney
 
"Designing for Truth, Scale and Sustainability" - WSSSPE2 Keynote
"Designing for Truth, Scale and Sustainability" - WSSSPE2 Keynote"Designing for Truth, Scale and Sustainability" - WSSSPE2 Keynote
"Designing for Truth, Scale and Sustainability" - WSSSPE2 KeynoteKaitlin Thaney
 
"Making the Web Work for Science" - NCI CBIIT
"Making the Web Work for Science" - NCI CBIIT"Making the Web Work for Science" - NCI CBIIT
"Making the Web Work for Science" - NCI CBIITKaitlin Thaney
 
Making the web work for science - University of Queensland
Making the web work for science - University of QueenslandMaking the web work for science - University of Queensland
Making the web work for science - University of QueenslandKaitlin Thaney
 
Discoverability and Web-Enabled Science - #ScholarAfrica
Discoverability and Web-Enabled Science - #ScholarAfricaDiscoverability and Web-Enabled Science - #ScholarAfrica
Discoverability and Web-Enabled Science - #ScholarAfricaKaitlin Thaney
 
"Let's talk about the web" - Citizen Cyberscience Summit
"Let's talk about the web" - Citizen Cyberscience Summit"Let's talk about the web" - Citizen Cyberscience Summit
"Let's talk about the web" - Citizen Cyberscience SummitKaitlin Thaney
 
Making the web work for science - UND
Making the web work for science - UNDMaking the web work for science - UND
Making the web work for science - UNDKaitlin Thaney
 
Metrics for web-native science - PLOS ALM
Metrics for web-native science - PLOS ALMMetrics for web-native science - PLOS ALM
Metrics for web-native science - PLOS ALMKaitlin Thaney
 
Making the Web work for science - SciTechLA
Making the Web work for science - SciTechLAMaking the Web work for science - SciTechLA
Making the Web work for science - SciTechLAKaitlin Thaney
 
Upping our digital literacy - OKCon
Upping our digital literacy - OKConUpping our digital literacy - OKCon
Upping our digital literacy - OKConKaitlin Thaney
 
Gateways for Open Science - XSEDE
Gateways for Open Science - XSEDEGateways for Open Science - XSEDE
Gateways for Open Science - XSEDEKaitlin Thaney
 
The need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIAThe need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIAKaitlin Thaney
 

Más de Kaitlin Thaney (20)

Megaphones to (No)where: On Sustaining Change
Megaphones to (No)where:  On Sustaining ChangeMegaphones to (No)where:  On Sustaining Change
Megaphones to (No)where: On Sustaining Change
 
Lessons in Resilience - International Women's Day Keynote @ Brooklyn College
Lessons in Resilience - International Women's Day Keynote @ Brooklyn CollegeLessons in Resilience - International Women's Day Keynote @ Brooklyn College
Lessons in Resilience - International Women's Day Keynote @ Brooklyn College
 
Building Capacity for Open Science
Building Capacity for Open ScienceBuilding Capacity for Open Science
Building Capacity for Open Science
 
Fueling the Open Movement - Compute Midwest
Fueling the Open Movement - Compute MidwestFueling the Open Movement - Compute Midwest
Fueling the Open Movement - Compute Midwest
 
Shifting Scientific Practice - ORCID 2015
Shifting Scientific Practice - ORCID 2015Shifting Scientific Practice - ORCID 2015
Shifting Scientific Practice - ORCID 2015
 
Mozilla Science Lab 101
Mozilla Science Lab 101Mozilla Science Lab 101
Mozilla Science Lab 101
 
Building capacity for open science - COASP Meeting
Building capacity for open science - COASP MeetingBuilding capacity for open science - COASP Meeting
Building capacity for open science - COASP Meeting
 
Capturing Contribution - ARCS
Capturing Contribution - ARCSCapturing Contribution - ARCS
Capturing Contribution - ARCS
 
Piloting Contributorship Badges for Science
Piloting Contributorship Badges for SciencePiloting Contributorship Badges for Science
Piloting Contributorship Badges for Science
 
"Designing for Truth, Scale and Sustainability" - WSSSPE2 Keynote
"Designing for Truth, Scale and Sustainability" - WSSSPE2 Keynote"Designing for Truth, Scale and Sustainability" - WSSSPE2 Keynote
"Designing for Truth, Scale and Sustainability" - WSSSPE2 Keynote
 
"Making the Web Work for Science" - NCI CBIIT
"Making the Web Work for Science" - NCI CBIIT"Making the Web Work for Science" - NCI CBIIT
"Making the Web Work for Science" - NCI CBIIT
 
Making the web work for science - University of Queensland
Making the web work for science - University of QueenslandMaking the web work for science - University of Queensland
Making the web work for science - University of Queensland
 
Discoverability and Web-Enabled Science - #ScholarAfrica
Discoverability and Web-Enabled Science - #ScholarAfricaDiscoverability and Web-Enabled Science - #ScholarAfrica
Discoverability and Web-Enabled Science - #ScholarAfrica
 
"Let's talk about the web" - Citizen Cyberscience Summit
"Let's talk about the web" - Citizen Cyberscience Summit"Let's talk about the web" - Citizen Cyberscience Summit
"Let's talk about the web" - Citizen Cyberscience Summit
 
Making the web work for science - UND
Making the web work for science - UNDMaking the web work for science - UND
Making the web work for science - UND
 
Metrics for web-native science - PLOS ALM
Metrics for web-native science - PLOS ALMMetrics for web-native science - PLOS ALM
Metrics for web-native science - PLOS ALM
 
Making the Web work for science - SciTechLA
Making the Web work for science - SciTechLAMaking the Web work for science - SciTechLA
Making the Web work for science - SciTechLA
 
Upping our digital literacy - OKCon
Upping our digital literacy - OKConUpping our digital literacy - OKCon
Upping our digital literacy - OKCon
 
Gateways for Open Science - XSEDE
Gateways for Open Science - XSEDEGateways for Open Science - XSEDE
Gateways for Open Science - XSEDE
 
The need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIAThe need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIA
 

Último

Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 

Último (20)

Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 

Digital Science