SlideShare une entreprise Scribd logo
1  sur  3
Télécharger pour lire hors ligne
09.10.13 ALM Principles discussion document - Google Drive
https://docs.google.com/a/martinfenner.org/document/d/1TWPzw0El3KGw-CJrA_VJaOmv9nTxfaggkhRRvUzbb_o/edit#heading=h.6q44zvf4m1bs 1/3
Usage and article measures: Community
principles
The  community  of  stakeholders  engaged  in  measuring  the  usage,  impact,  and  conversations
around  scholarly  articles  adopts  these  community  principles.
Preamble
We  critique  and  measure  research  outputs  for  many  reasons,  to  understand  their  importance,
their  relevance  to  a  particular  problem,  and  to  support  discovery  of  new  resources.  New  forms
of  data  are  becoming  available  that  can  enrich  our  understanding  of  how  individual  research
outputs  are  being  used:  who  is  using  them,  what  are  they  being  used  for,  and  when.  The
responsible  application  of  these  new  data  to  the  challenges  of  research  assessment  places
requirements  on  those  who  generate,  curate,  and  analyse  these  data.
As  core  members  of  the  stakeholder  community  who  provide,  integrate,  analyse,  and  use  this
data  we  affirm  our  commitment  to  providing  data  to  support  measuring  and  tracking  the  use  and
interest  in  research  outputs  as  as  a  community  resource.  We  call  for  the  creation  of  a  shared
community  infrastructure  for  aggregating  and  validating  article-­level  measures  and  for  the
adoption  of  the  following  community  principles.
Principles
1. Publishers  should  collect  data  on  the  usage  of  all  their  individual  articles.
2. Usage  data  should  be  comprehensive  and  should  include  usage  statistics;;  citations;;  and
other  social  media  usage  and  references.
3. Data  should  be  freely  and  openly  available  with  reuse  permitted  to  the  fullest  extent
possible.  Data  should  be  made  available  at  the  individual  article  level  and  in  bulk.
4. The  collection,  aggregation,  and  reporting  of  data  should  be  supported  by  best  practices
agreed  by  the  community  with  development  towards  standards.  Data  providers  and  data
aggregators  will  promote  good  practice  in  the  use  and  the  application  of  this  data.
5. Data  from  different  sources  and  service  providers  should  be  aggregated  via  an
infrastructure  supported  by  the  community  to  facilitate  data  validation  and  comparisons  of
data.  An  organization  taking  on  this  task  would  be  a  trusted  community  organization
outside  the  control  of  any  one  major  stakeholder.
09.10.13 ALM Principles discussion document - Google Drive
https://docs.google.com/a/martinfenner.org/document/d/1TWPzw0El3KGw-CJrA_VJaOmv9nTxfaggkhRRvUzbb_o/edit#heading=h.6q44zvf4m1bs 2/3
Issues
Insufficiently	
  ambitious?	
  Greater	
  scope	
  for	
  data	
  sources
Insufficiently	
  ambitious?	
  Greater	
  scope	
  for	
  object	
  types
How	
  will	
  this	
  be	
  addressed	
  for	
  smaller	
  journals?	
  What	
  is	
  the	
  commitment	
  of	
  the
community	
  to	
  help?
What	
  is	
  the	
  value	
  of	
  a	
  centralised	
  “service”	
  or	
  clearing	
  house?	
  Would	
  a	
  standards
body	
  be	
  better?	
  What	
  might	
  the	
  role	
  of	
  Crossref	
  be?
Who	
  gets	
  to	
  decide?	
  Who	
  is	
  the	
  community?
09.10.13 ALM Principles discussion document - Google Drive
https://docs.google.com/a/martinfenner.org/document/d/1TWPzw0El3KGw-CJrA_VJaOmv9nTxfaggkhRRvUzbb_o/edit#heading=h.6q44zvf4m1bs 3/3
I	
  create	
  derivative	
  data	
  or	
  value	
  added	
  services?	
  Do	
  you	
  mean	
  I	
  should	
  give	
  them
away?	
  How	
  to	
  distinguish	
  	
  the	
  “underlying”	
  data	
  and	
  what	
  is	
  my	
  derived	
  service
offering?
How	
  does	
  this	
  apply	
  to	
  social	
  media	
  data?	
  Should	
  we	
  collect	
  it	
  together?	
  What	
  are
the	
  risks	
  in	
  using	
  one	
  collection	
  mechanism?	
  The	
  benefits?
Who	
  should	
  be	
  driving	
  this,	
  and	
  what	
  is	
  the	
  intention?
Is	
  now	
  the	
  right	
  time	
  for	
  this	
  -­‐	
  shouldn’t	
  we	
  be	
  focusing	
  on	
  pushing	
  and	
  delivering
on	
  DORA	
  and	
  the	
  NISO	
  initiative	
  first

Contenu connexe

Tendances

The Intersection of InterLibrary Loan and Acquisition Models: A review of rec...
The Intersection of InterLibrary Loan and Acquisition Models: A review of rec...The Intersection of InterLibrary Loan and Acquisition Models: A review of rec...
The Intersection of InterLibrary Loan and Acquisition Models: A review of rec...NASIG
 
Scholarly communication landscape
Scholarly communication landscapeScholarly communication landscape
Scholarly communication landscapeJill Emery
 
Sharing IR metadata with SHARE
Sharing IR metadata with SHARESharing IR metadata with SHARE
Sharing IR metadata with SHARENASIG
 
Investigating Perpetual Access
Investigating Perpetual AccessInvestigating Perpetual Access
Investigating Perpetual AccessNASIG
 
January 13, 2016 NISO Webinar: Ensuring the Scholarly Record: Scholarly Retra...
January 13, 2016 NISO Webinar: Ensuring the Scholarly Record: Scholarly Retra...January 13, 2016 NISO Webinar: Ensuring the Scholarly Record: Scholarly Retra...
January 13, 2016 NISO Webinar: Ensuring the Scholarly Record: Scholarly Retra...DeVonne Parks, CEM
 
Researcher engagement
Researcher engagementResearcher engagement
Researcher engagementJisc RDM
 
Open Access: Learn. Share. Advance
Open Access: Learn. Share. AdvanceOpen Access: Learn. Share. Advance
Open Access: Learn. Share. Advancezswanie
 
Text Data Mining: Unlocking the hidden potential from scholarly content.
Text Data Mining: Unlocking the hidden potential from scholarly content.Text Data Mining: Unlocking the hidden potential from scholarly content.
Text Data Mining: Unlocking the hidden potential from scholarly content.Emma Warren-Jones
 

Tendances (20)

The Intersection of InterLibrary Loan and Acquisition Models: A review of rec...
The Intersection of InterLibrary Loan and Acquisition Models: A review of rec...The Intersection of InterLibrary Loan and Acquisition Models: A review of rec...
The Intersection of InterLibrary Loan and Acquisition Models: A review of rec...
 
ODI-Conrad-ALA Annual 2015 NISO Update
ODI-Conrad-ALA Annual 2015 NISO UpdateODI-Conrad-ALA Annual 2015 NISO Update
ODI-Conrad-ALA Annual 2015 NISO Update
 
Scholarly communication landscape
Scholarly communication landscapeScholarly communication landscape
Scholarly communication landscape
 
Taylor Delivering faster and more effective research discovery
Taylor Delivering faster and more effective research discoveryTaylor Delivering faster and more effective research discovery
Taylor Delivering faster and more effective research discovery
 
Shearer "Next Generation Repositories: Developing a Distributed Architecture ...
Shearer "Next Generation Repositories: Developing a Distributed Architecture ...Shearer "Next Generation Repositories: Developing a Distributed Architecture ...
Shearer "Next Generation Repositories: Developing a Distributed Architecture ...
 
2015 NISO Forum: The Future of Library Resource Discovery
2015 NISO Forum: The Future of Library Resource Discovery2015 NISO Forum: The Future of Library Resource Discovery
2015 NISO Forum: The Future of Library Resource Discovery
 
Broadbent Rozum Creating a Culture of Compliance
Broadbent Rozum Creating a Culture of ComplianceBroadbent Rozum Creating a Culture of Compliance
Broadbent Rozum Creating a Culture of Compliance
 
Sharing IR metadata with SHARE
Sharing IR metadata with SHARESharing IR metadata with SHARE
Sharing IR metadata with SHARE
 
2015 NISO Forum: The Future of Library Resource Discovery
2015 NISO Forum: The Future of Library Resource Discovery2015 NISO Forum: The Future of Library Resource Discovery
2015 NISO Forum: The Future of Library Resource Discovery
 
Emery - Buying Openly - NISO Sept 7
Emery - Buying Openly - NISO Sept 7Emery - Buying Openly - NISO Sept 7
Emery - Buying Openly - NISO Sept 7
 
Investigating Perpetual Access
Investigating Perpetual AccessInvestigating Perpetual Access
Investigating Perpetual Access
 
2015 NISO Forum: The Future of Library Resource Discovery
2015 NISO Forum: The Future of Library Resource Discovery2015 NISO Forum: The Future of Library Resource Discovery
2015 NISO Forum: The Future of Library Resource Discovery
 
January 13, 2016 NISO Webinar: Ensuring the Scholarly Record: Scholarly Retra...
January 13, 2016 NISO Webinar: Ensuring the Scholarly Record: Scholarly Retra...January 13, 2016 NISO Webinar: Ensuring the Scholarly Record: Scholarly Retra...
January 13, 2016 NISO Webinar: Ensuring the Scholarly Record: Scholarly Retra...
 
Researcher engagement
Researcher engagementResearcher engagement
Researcher engagement
 
Digby - Institutional Repository - Vendor Partnerships
Digby - Institutional Repository - Vendor PartnershipsDigby - Institutional Repository - Vendor Partnerships
Digby - Institutional Repository - Vendor Partnerships
 
Open Access: Learn. Share. Advance
Open Access: Learn. Share. AdvanceOpen Access: Learn. Share. Advance
Open Access: Learn. Share. Advance
 
Library Support of Identification and Discovery of Scholarly Output - Cross- ...
Library Support of Identification and Discovery of Scholarly Output - Cross- ...Library Support of Identification and Discovery of Scholarly Output - Cross- ...
Library Support of Identification and Discovery of Scholarly Output - Cross- ...
 
Open Discovery Initiative - NISO Update Jan 2014
Open Discovery Initiative - NISO Update Jan 2014Open Discovery Initiative - NISO Update Jan 2014
Open Discovery Initiative - NISO Update Jan 2014
 
Open Data for Research
Open Data for ResearchOpen Data for Research
Open Data for Research
 
Text Data Mining: Unlocking the hidden potential from scholarly content.
Text Data Mining: Unlocking the hidden potential from scholarly content.Text Data Mining: Unlocking the hidden potential from scholarly content.
Text Data Mining: Unlocking the hidden potential from scholarly content.
 

Similaire à Cameron Neylon - Lightning talk at NISO Altmetrics Initiative

Recognising data sharing
Recognising data sharingRecognising data sharing
Recognising data sharingJisc RDM
 
Data ecosystems: turning data into public value
Data ecosystems:  turning data into public valueData ecosystems:  turning data into public value
Data ecosystems: turning data into public valueSlim Turki, Dr.
 
Paving the way to open and interoperable research data service workflows Prog...
Paving the way to open and interoperable research data service workflows Prog...Paving the way to open and interoperable research data service workflows Prog...
Paving the way to open and interoperable research data service workflows Prog...ResearchSpace
 
Paving the way to open and interoperable research data service workflows
Paving the way to open and interoperable research data service workflowsPaving the way to open and interoperable research data service workflows
Paving the way to open and interoperable research data service workflowsThe University of Edinburgh
 
An Improvised Fuzzy Preference Tree Of CRS For E-Services Using Incremental A...
An Improvised Fuzzy Preference Tree Of CRS For E-Services Using Incremental A...An Improvised Fuzzy Preference Tree Of CRS For E-Services Using Incremental A...
An Improvised Fuzzy Preference Tree Of CRS For E-Services Using Incremental A...IJTET Journal
 
What is Data Commons and How Can Your Organization Build One?
What is Data Commons and How Can Your Organization Build One?What is Data Commons and How Can Your Organization Build One?
What is Data Commons and How Can Your Organization Build One?Robert Grossman
 
Standard Safeguarding Dataset - overview for CSCDUG.pptx
Standard Safeguarding Dataset - overview for CSCDUG.pptxStandard Safeguarding Dataset - overview for CSCDUG.pptx
Standard Safeguarding Dataset - overview for CSCDUG.pptxRocioMendez59
 
NIH Data Summit - The NIH Data Commons
NIH Data Summit - The NIH Data CommonsNIH Data Summit - The NIH Data Commons
NIH Data Summit - The NIH Data CommonsVivien Bonazzi
 
Recommender System in light of Big Data
Recommender System in light of Big DataRecommender System in light of Big Data
Recommender System in light of Big DataKhadija Atiya
 
A.hybrid.recommendation.approach.for.a.tourism.system
A.hybrid.recommendation.approach.for.a.tourism.systemA.hybrid.recommendation.approach.for.a.tourism.system
A.hybrid.recommendation.approach.for.a.tourism.systembenny ribeiro
 
Data Management and Horizon 2020
Data Management and Horizon 2020Data Management and Horizon 2020
Data Management and Horizon 2020Sarah Jones
 
Recommendation System Using Social Networking
Recommendation System Using Social Networking Recommendation System Using Social Networking
Recommendation System Using Social Networking ijcseit
 
A Study of Neural Network Learning-Based Recommender System
A Study of Neural Network Learning-Based Recommender SystemA Study of Neural Network Learning-Based Recommender System
A Study of Neural Network Learning-Based Recommender Systemtheijes
 
A Study of Neural Network Learning-Based Recommender System
A Study of Neural Network Learning-Based Recommender SystemA Study of Neural Network Learning-Based Recommender System
A Study of Neural Network Learning-Based Recommender Systemtheijes
 
Parsec 191119 slideshare
Parsec 191119 slideshareParsec 191119 slideshare
Parsec 191119 slideshareAlison Specht
 
The application of data mining to recommender systems
The application of data mining to recommender systems The application of data mining to recommender systems
The application of data mining to recommender systems sunsine123
 
Keyword Based Service Recommendation system for Hotel System using Collaborat...
Keyword Based Service Recommendation system for Hotel System using Collaborat...Keyword Based Service Recommendation system for Hotel System using Collaborat...
Keyword Based Service Recommendation system for Hotel System using Collaborat...IRJET Journal
 

Similaire à Cameron Neylon - Lightning talk at NISO Altmetrics Initiative (20)

Recognising data sharing
Recognising data sharingRecognising data sharing
Recognising data sharing
 
Data ecosystems: turning data into public value
Data ecosystems:  turning data into public valueData ecosystems:  turning data into public value
Data ecosystems: turning data into public value
 
Paving the way to open and interoperable research data service workflows Prog...
Paving the way to open and interoperable research data service workflows Prog...Paving the way to open and interoperable research data service workflows Prog...
Paving the way to open and interoperable research data service workflows Prog...
 
Paving the way to open and interoperable research data service workflows
Paving the way to open and interoperable research data service workflowsPaving the way to open and interoperable research data service workflows
Paving the way to open and interoperable research data service workflows
 
An Improvised Fuzzy Preference Tree Of CRS For E-Services Using Incremental A...
An Improvised Fuzzy Preference Tree Of CRS For E-Services Using Incremental A...An Improvised Fuzzy Preference Tree Of CRS For E-Services Using Incremental A...
An Improvised Fuzzy Preference Tree Of CRS For E-Services Using Incremental A...
 
Johnston - How to Curate Research Data
Johnston - How to Curate Research DataJohnston - How to Curate Research Data
Johnston - How to Curate Research Data
 
What is Data Commons and How Can Your Organization Build One?
What is Data Commons and How Can Your Organization Build One?What is Data Commons and How Can Your Organization Build One?
What is Data Commons and How Can Your Organization Build One?
 
Standard Safeguarding Dataset - overview for CSCDUG.pptx
Standard Safeguarding Dataset - overview for CSCDUG.pptxStandard Safeguarding Dataset - overview for CSCDUG.pptx
Standard Safeguarding Dataset - overview for CSCDUG.pptx
 
NIH Data Summit - The NIH Data Commons
NIH Data Summit - The NIH Data CommonsNIH Data Summit - The NIH Data Commons
NIH Data Summit - The NIH Data Commons
 
Recommender System in light of Big Data
Recommender System in light of Big DataRecommender System in light of Big Data
Recommender System in light of Big Data
 
A.hybrid.recommendation.approach.for.a.tourism.system
A.hybrid.recommendation.approach.for.a.tourism.systemA.hybrid.recommendation.approach.for.a.tourism.system
A.hybrid.recommendation.approach.for.a.tourism.system
 
Data Management and Horizon 2020
Data Management and Horizon 2020Data Management and Horizon 2020
Data Management and Horizon 2020
 
Recommendation System Using Social Networking
Recommendation System Using Social Networking Recommendation System Using Social Networking
Recommendation System Using Social Networking
 
Trial io pcori doc v1
Trial io pcori doc v1Trial io pcori doc v1
Trial io pcori doc v1
 
A Study of Neural Network Learning-Based Recommender System
A Study of Neural Network Learning-Based Recommender SystemA Study of Neural Network Learning-Based Recommender System
A Study of Neural Network Learning-Based Recommender System
 
A Study of Neural Network Learning-Based Recommender System
A Study of Neural Network Learning-Based Recommender SystemA Study of Neural Network Learning-Based Recommender System
A Study of Neural Network Learning-Based Recommender System
 
Parsec 191119 slideshare
Parsec 191119 slideshareParsec 191119 slideshare
Parsec 191119 slideshare
 
The application of data mining to recommender systems
The application of data mining to recommender systems The application of data mining to recommender systems
The application of data mining to recommender systems
 
Keyword Based Service Recommendation system for Hotel System using Collaborat...
Keyword Based Service Recommendation system for Hotel System using Collaborat...Keyword Based Service Recommendation system for Hotel System using Collaborat...
Keyword Based Service Recommendation system for Hotel System using Collaborat...
 
AN EFFECTIVE FRAMEWORK FOR GENERATING RECOMMENDATIONS
AN EFFECTIVE FRAMEWORK FOR GENERATING RECOMMENDATIONSAN EFFECTIVE FRAMEWORK FOR GENERATING RECOMMENDATIONS
AN EFFECTIVE FRAMEWORK FOR GENERATING RECOMMENDATIONS
 

Plus de National Information Standards Organization (NISO)

Plus de National Information Standards Organization (NISO) (20)

Mattingly "Text and Data Mining: Building Data Driven Applications"
Mattingly "Text and Data Mining: Building Data Driven Applications"Mattingly "Text and Data Mining: Building Data Driven Applications"
Mattingly "Text and Data Mining: Building Data Driven Applications"
 
Mattingly "Text and Data Mining: Searching Vectors"
Mattingly "Text and Data Mining: Searching Vectors"Mattingly "Text and Data Mining: Searching Vectors"
Mattingly "Text and Data Mining: Searching Vectors"
 
Mattingly "Text Mining Techniques"
Mattingly "Text Mining Techniques"Mattingly "Text Mining Techniques"
Mattingly "Text Mining Techniques"
 
Mattingly "Text Processing for Library Data: Representing Text as Data"
Mattingly "Text Processing for Library Data: Representing Text as Data"Mattingly "Text Processing for Library Data: Representing Text as Data"
Mattingly "Text Processing for Library Data: Representing Text as Data"
 
Ross and Clark "Strategic Planning"
Ross and Clark "Strategic Planning"Ross and Clark "Strategic Planning"
Ross and Clark "Strategic Planning"
 
Mattingly "Data Mining Techniques: Classification and Clustering"
Mattingly "Data Mining Techniques: Classification and Clustering"Mattingly "Data Mining Techniques: Classification and Clustering"
Mattingly "Data Mining Techniques: Classification and Clustering"
 
Straza "Global collaboration towards equitable and open science: UNESCO Recom...
Straza "Global collaboration towards equitable and open science: UNESCO Recom...Straza "Global collaboration towards equitable and open science: UNESCO Recom...
Straza "Global collaboration towards equitable and open science: UNESCO Recom...
 
Lippincott "Beyond access: Accelerating discovery and increasing trust throug...
Lippincott "Beyond access: Accelerating discovery and increasing trust throug...Lippincott "Beyond access: Accelerating discovery and increasing trust throug...
Lippincott "Beyond access: Accelerating discovery and increasing trust throug...
 
Kriegsman "Integrating Open and Equitable Research into Open Science"
Kriegsman "Integrating Open and Equitable Research into Open Science"Kriegsman "Integrating Open and Equitable Research into Open Science"
Kriegsman "Integrating Open and Equitable Research into Open Science"
 
Mattingly "Ethics and Cleaning Data"
Mattingly "Ethics and Cleaning Data"Mattingly "Ethics and Cleaning Data"
Mattingly "Ethics and Cleaning Data"
 
Mercado-Lara "Open & Equitable Program"
Mercado-Lara "Open & Equitable Program"Mercado-Lara "Open & Equitable Program"
Mercado-Lara "Open & Equitable Program"
 
Ratner "Enhancing Open Science: Assessing Tools & Charting Progress"
Ratner "Enhancing Open Science: Assessing Tools & Charting Progress"Ratner "Enhancing Open Science: Assessing Tools & Charting Progress"
Ratner "Enhancing Open Science: Assessing Tools & Charting Progress"
 
Pfeiffer "Enhancing Open Science: Assessing Tools & Charting Progress"
Pfeiffer "Enhancing Open Science: Assessing Tools & Charting Progress"Pfeiffer "Enhancing Open Science: Assessing Tools & Charting Progress"
Pfeiffer "Enhancing Open Science: Assessing Tools & Charting Progress"
 
Hahnel “Mapping Progress: Reflections and Charting Future Pathways"
Hahnel “Mapping Progress: Reflections and Charting Future Pathways"Hahnel “Mapping Progress: Reflections and Charting Future Pathways"
Hahnel “Mapping Progress: Reflections and Charting Future Pathways"
 
Stall "Open Science: The Journey of a Scholarly Society"
Stall "Open Science: The Journey of a Scholarly Society"Stall "Open Science: The Journey of a Scholarly Society"
Stall "Open Science: The Journey of a Scholarly Society"
 
Hrynaszkiewicz "A Publisher's Perspective on Open Science"
Hrynaszkiewicz "A Publisher's Perspective on Open Science"Hrynaszkiewicz "A Publisher's Perspective on Open Science"
Hrynaszkiewicz "A Publisher's Perspective on Open Science"
 
Carter "Higher Education Leadership Initiative for Open Scholarship (HELIOS)"
Carter "Higher Education Leadership Initiative for Open Scholarship (HELIOS)"Carter "Higher Education Leadership Initiative for Open Scholarship (HELIOS)"
Carter "Higher Education Leadership Initiative for Open Scholarship (HELIOS)"
 
Webster "NISO Roundtable: Open Science and Libraries"
Webster "NISO Roundtable: Open Science and Libraries"Webster "NISO Roundtable: Open Science and Libraries"
Webster "NISO Roundtable: Open Science and Libraries"
 
Ratan "Are we there yet? Keeping the promise of open science"
Ratan "Are we there yet?  Keeping the promise of open science"Ratan "Are we there yet?  Keeping the promise of open science"
Ratan "Are we there yet? Keeping the promise of open science"
 
Tananbaum "NISO Tech Summit: Reflections on Reflections Upon The Year of Open...
Tananbaum "NISO Tech Summit: Reflections on Reflections Upon The Year of Open...Tananbaum "NISO Tech Summit: Reflections on Reflections Upon The Year of Open...
Tananbaum "NISO Tech Summit: Reflections on Reflections Upon The Year of Open...
 

Dernier

AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024Brian Pichman
 
Planetek Italia Srl - Corporate Profile Brochure
Planetek Italia Srl - Corporate Profile BrochurePlanetek Italia Srl - Corporate Profile Brochure
Planetek Italia Srl - Corporate Profile BrochurePlanetek Italia Srl
 
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechWebinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechProduct School
 
LF Energy Webinar - Unveiling OpenEEMeter 4.0
LF Energy Webinar - Unveiling OpenEEMeter 4.0LF Energy Webinar - Unveiling OpenEEMeter 4.0
LF Energy Webinar - Unveiling OpenEEMeter 4.0DanBrown980551
 
Keep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES LiveKeep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES LiveIES VE
 
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptxGraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptxNeo4j
 
March Patch Tuesday
March Patch TuesdayMarch Patch Tuesday
March Patch TuesdayIvanti
 
Graphene Quantum Dots-Based Composites for Biomedical Applications
Graphene Quantum Dots-Based Composites for  Biomedical ApplicationsGraphene Quantum Dots-Based Composites for  Biomedical Applications
Graphene Quantum Dots-Based Composites for Biomedical Applicationsnooralam814309
 
UiPath Studio Web workshop series - Day 2
UiPath Studio Web workshop series - Day 2UiPath Studio Web workshop series - Day 2
UiPath Studio Web workshop series - Day 2DianaGray10
 
Technical SEO for Improved Accessibility WTS FEST
Technical SEO for Improved Accessibility  WTS FESTTechnical SEO for Improved Accessibility  WTS FEST
Technical SEO for Improved Accessibility WTS FESTBillieHyde
 
2024.03.12 Cost drivers of cultivated meat production.pdf
2024.03.12 Cost drivers of cultivated meat production.pdf2024.03.12 Cost drivers of cultivated meat production.pdf
2024.03.12 Cost drivers of cultivated meat production.pdfThe Good Food Institute
 
Patch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 updatePatch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 updateadam112203
 
IT Service Management (ITSM) Best Practices for Advanced Computing
IT Service Management (ITSM) Best Practices for Advanced ComputingIT Service Management (ITSM) Best Practices for Advanced Computing
IT Service Management (ITSM) Best Practices for Advanced ComputingMAGNIntelligence
 
How to release an Open Source Dataweave Library
How to release an Open Source Dataweave LibraryHow to release an Open Source Dataweave Library
How to release an Open Source Dataweave Libraryshyamraj55
 
Introduction - IPLOOK NETWORKS CO., LTD.
Introduction - IPLOOK NETWORKS CO., LTD.Introduction - IPLOOK NETWORKS CO., LTD.
Introduction - IPLOOK NETWORKS CO., LTD.IPLOOK Networks
 
Where developers are challenged, what developers want and where DevEx is going
Where developers are challenged, what developers want and where DevEx is goingWhere developers are challenged, what developers want and where DevEx is going
Where developers are challenged, what developers want and where DevEx is goingFrancesco Corti
 
TrustArc Webinar - How to Live in a Post Third-Party Cookie World
TrustArc Webinar - How to Live in a Post Third-Party Cookie WorldTrustArc Webinar - How to Live in a Post Third-Party Cookie World
TrustArc Webinar - How to Live in a Post Third-Party Cookie WorldTrustArc
 
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENTSIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENTxtailishbaloch
 
The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)IES VE
 
Oracle Database 23c Security New Features.pptx
Oracle Database 23c Security New Features.pptxOracle Database 23c Security New Features.pptx
Oracle Database 23c Security New Features.pptxSatishbabu Gunukula
 

Dernier (20)

AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024
 
Planetek Italia Srl - Corporate Profile Brochure
Planetek Italia Srl - Corporate Profile BrochurePlanetek Italia Srl - Corporate Profile Brochure
Planetek Italia Srl - Corporate Profile Brochure
 
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechWebinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
 
LF Energy Webinar - Unveiling OpenEEMeter 4.0
LF Energy Webinar - Unveiling OpenEEMeter 4.0LF Energy Webinar - Unveiling OpenEEMeter 4.0
LF Energy Webinar - Unveiling OpenEEMeter 4.0
 
Keep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES LiveKeep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES Live
 
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptxGraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
 
March Patch Tuesday
March Patch TuesdayMarch Patch Tuesday
March Patch Tuesday
 
Graphene Quantum Dots-Based Composites for Biomedical Applications
Graphene Quantum Dots-Based Composites for  Biomedical ApplicationsGraphene Quantum Dots-Based Composites for  Biomedical Applications
Graphene Quantum Dots-Based Composites for Biomedical Applications
 
UiPath Studio Web workshop series - Day 2
UiPath Studio Web workshop series - Day 2UiPath Studio Web workshop series - Day 2
UiPath Studio Web workshop series - Day 2
 
Technical SEO for Improved Accessibility WTS FEST
Technical SEO for Improved Accessibility  WTS FESTTechnical SEO for Improved Accessibility  WTS FEST
Technical SEO for Improved Accessibility WTS FEST
 
2024.03.12 Cost drivers of cultivated meat production.pdf
2024.03.12 Cost drivers of cultivated meat production.pdf2024.03.12 Cost drivers of cultivated meat production.pdf
2024.03.12 Cost drivers of cultivated meat production.pdf
 
Patch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 updatePatch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 update
 
IT Service Management (ITSM) Best Practices for Advanced Computing
IT Service Management (ITSM) Best Practices for Advanced ComputingIT Service Management (ITSM) Best Practices for Advanced Computing
IT Service Management (ITSM) Best Practices for Advanced Computing
 
How to release an Open Source Dataweave Library
How to release an Open Source Dataweave LibraryHow to release an Open Source Dataweave Library
How to release an Open Source Dataweave Library
 
Introduction - IPLOOK NETWORKS CO., LTD.
Introduction - IPLOOK NETWORKS CO., LTD.Introduction - IPLOOK NETWORKS CO., LTD.
Introduction - IPLOOK NETWORKS CO., LTD.
 
Where developers are challenged, what developers want and where DevEx is going
Where developers are challenged, what developers want and where DevEx is goingWhere developers are challenged, what developers want and where DevEx is going
Where developers are challenged, what developers want and where DevEx is going
 
TrustArc Webinar - How to Live in a Post Third-Party Cookie World
TrustArc Webinar - How to Live in a Post Third-Party Cookie WorldTrustArc Webinar - How to Live in a Post Third-Party Cookie World
TrustArc Webinar - How to Live in a Post Third-Party Cookie World
 
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENTSIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
 
The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)
 
Oracle Database 23c Security New Features.pptx
Oracle Database 23c Security New Features.pptxOracle Database 23c Security New Features.pptx
Oracle Database 23c Security New Features.pptx
 

Cameron Neylon - Lightning talk at NISO Altmetrics Initiative

  • 1. 09.10.13 ALM Principles discussion document - Google Drive https://docs.google.com/a/martinfenner.org/document/d/1TWPzw0El3KGw-CJrA_VJaOmv9nTxfaggkhRRvUzbb_o/edit#heading=h.6q44zvf4m1bs 1/3 Usage and article measures: Community principles The  community  of  stakeholders  engaged  in  measuring  the  usage,  impact,  and  conversations around  scholarly  articles  adopts  these  community  principles. Preamble We  critique  and  measure  research  outputs  for  many  reasons,  to  understand  their  importance, their  relevance  to  a  particular  problem,  and  to  support  discovery  of  new  resources.  New  forms of  data  are  becoming  available  that  can  enrich  our  understanding  of  how  individual  research outputs  are  being  used:  who  is  using  them,  what  are  they  being  used  for,  and  when.  The responsible  application  of  these  new  data  to  the  challenges  of  research  assessment  places requirements  on  those  who  generate,  curate,  and  analyse  these  data. As  core  members  of  the  stakeholder  community  who  provide,  integrate,  analyse,  and  use  this data  we  affirm  our  commitment  to  providing  data  to  support  measuring  and  tracking  the  use  and interest  in  research  outputs  as  as  a  community  resource.  We  call  for  the  creation  of  a  shared community  infrastructure  for  aggregating  and  validating  article-­level  measures  and  for  the adoption  of  the  following  community  principles. Principles 1. Publishers  should  collect  data  on  the  usage  of  all  their  individual  articles. 2. Usage  data  should  be  comprehensive  and  should  include  usage  statistics;;  citations;;  and other  social  media  usage  and  references. 3. Data  should  be  freely  and  openly  available  with  reuse  permitted  to  the  fullest  extent possible.  Data  should  be  made  available  at  the  individual  article  level  and  in  bulk. 4. The  collection,  aggregation,  and  reporting  of  data  should  be  supported  by  best  practices agreed  by  the  community  with  development  towards  standards.  Data  providers  and  data aggregators  will  promote  good  practice  in  the  use  and  the  application  of  this  data. 5. Data  from  different  sources  and  service  providers  should  be  aggregated  via  an infrastructure  supported  by  the  community  to  facilitate  data  validation  and  comparisons  of data.  An  organization  taking  on  this  task  would  be  a  trusted  community  organization outside  the  control  of  any  one  major  stakeholder.
  • 2. 09.10.13 ALM Principles discussion document - Google Drive https://docs.google.com/a/martinfenner.org/document/d/1TWPzw0El3KGw-CJrA_VJaOmv9nTxfaggkhRRvUzbb_o/edit#heading=h.6q44zvf4m1bs 2/3 Issues Insufficiently  ambitious?  Greater  scope  for  data  sources Insufficiently  ambitious?  Greater  scope  for  object  types How  will  this  be  addressed  for  smaller  journals?  What  is  the  commitment  of  the community  to  help? What  is  the  value  of  a  centralised  “service”  or  clearing  house?  Would  a  standards body  be  better?  What  might  the  role  of  Crossref  be? Who  gets  to  decide?  Who  is  the  community?
  • 3. 09.10.13 ALM Principles discussion document - Google Drive https://docs.google.com/a/martinfenner.org/document/d/1TWPzw0El3KGw-CJrA_VJaOmv9nTxfaggkhRRvUzbb_o/edit#heading=h.6q44zvf4m1bs 3/3 I  create  derivative  data  or  value  added  services?  Do  you  mean  I  should  give  them away?  How  to  distinguish    the  “underlying”  data  and  what  is  my  derived  service offering? How  does  this  apply  to  social  media  data?  Should  we  collect  it  together?  What  are the  risks  in  using  one  collection  mechanism?  The  benefits? Who  should  be  driving  this,  and  what  is  the  intention? Is  now  the  right  time  for  this  -­‐  shouldn’t  we  be  focusing  on  pushing  and  delivering on  DORA  and  the  NISO  initiative  first