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@openaire_eu
2nd Community Call
OpenAIRE content providers managers
04/12/2019
1) OpenAIRE provide updates
2) Usage Statistics Service
- service overview and specifications
- workflows and data collection
3) Questions & comments (please share
your use cases, issues)
AGENDA:
www.openaire.eu/provide-community-calls
Notes & Agenda  https://bit.ly/2rTgJwy
Provide – recent news
Newbrokerevents
available inprovide
dashboard (orcid…)
https://provide.openaire.eu
Newusagestatsgeneric
trackerscript(asapython
scriptforothercases)
https://github.com/openaire/Gen
eric-Matomo-Tracker
Guidelines v4compatibility
inDspace 5&6(CanadianUniv.
librariesaresupportingthedevelopmentof
anextensiontoDSpace5&6thatwillsupport
compliancewiththeOpenAIREGuidelinesv4.
www.coar-repositories.org/news-
updates/collaborating-to-support-greater-visibility-and-
discoverability-of-open-scholarship/
Provide Public Roadmap
weneedandwantyourfeedback
https://trello.com/b/JHbHKLZ4/openaire-
provide-roadmap
New broker events – ORCID, Software
4
Missing ORCID
Missing Software
Link Publications to Software
UsageStatisticsService
-serviceoverviewandspecifications
-workflowsanddatacollection
Andreas Czerniak, Bielefeld University
Dimitris Pierrakos, Athena Research and Innovation Center
Jochen Schirrwagen, Bielefeld University
Pedro Príncipe, University of Minho
OpenAIRE’s e-infrastructure Commons & Usage Stats sketch
Usage Statistics Service Features
Tracking of views and
downloads (PUSH)/
collecting COUNTER
reports (Pull)
Anonymisation of IP-
addresses.
Metadata de-
duplication enables
accumulation of views
and downloads for
same documents
COUNTER Code of
Practice compatibility.
standards based usage
statistics.
enables comparability with
statistics from other data
sources.
Thisiswhere youtypeintheevent
Metadata-Index
UsageStatistics-DB
● Repository
● CRIS
● eJournal
● National
Statistics Node
● Publisher
PULL
COUNTER Report
PUSH
tracked event
IP-
Anonym.
processing script
processing script
Architecture and Workflows for Usage Statistics
Push Usage Statistics Tracking Workflow
▪ An institutional repository registers in OpenAIRE’s Usage
Statistics Service via the Content Provider Dashboard.
▪ Server side real-time tracking: Plugins (DSpace), patches
(Eprints) using Matomo’s HTTP API.
▪ Usage Activity is tracked and logged at OpenAIRE’s
Analytics platform in real time.
▪ Generic Log file parser: A python script that parses
repository log files and sends the usage events to
OpenAIRE’s Analytics platform (not in real time).
Push Usage Statistics Tracking Workflow
▪ An offline workflow, based on Matomo API, transfers
and stores usage events, to OpenAIRE’s DBs for
statistical analysis.
▪ Statistics are deployed for human (OpenAIRE’s Portal)
and machine (Sushi-Lite API) consumption.
Enable Metrics for selected Datasource
11
Configure Metrics for selected Datasource
12
1223456
DSpace oapiwik.cfg
#------------------------#
# OpenAIRE Piwik Tracker #
#------------------------#
#Base Tracker URL
oapiwik.piwik.trackerURL = https://analytics.openaire.eu/piwik.php
#Piwik siteID
oapiwik.piwik.siteID = 1
#Piwik Authentication Token
oapiwik.piwik.tokenAuth=123456789
#IP Address Anonymization Bytes. Values in {1,2,3}
#oapiwik.piwik.ipanonymizationbytes=2
# Flag to enable/disable tracking. Default is true
oapiwik.piwik.enabled = true
Plugin/Patch Configuration
13
Eprints OAPiwik.pl
##################
# CONFIG START #
################
# Modify the following URL to the Piwik tracker location
$c->{OAPiwik}->{tracker} = "https://analytics.openaire.eu/piwik.php";
# Enter the OpenAIRE Piwik Site ID
$c->{OAPiwik}->{siteID} = "1";
# Enter the piwik token_auth
$c->{OAPiwik}->{token_auth} = "32846584f571be9b57488bf4088f30ea";
# Specify the number of bytes, 1,2 or 3, for IP Anonymization (empty for no IP
Anonymization)
$c->{OAPiwik}->{noOfBytes} = "";
# Other Config Parameters
$c->{OAPiwik}->{ua} = LWP::UserAgent->new(conn_cache => LWP::ConnCache->new,);
$c->{plugins}->{"Event::OAPiwik"}->{params}->{disable} = 0;
123456
1. Install virtualenv $ pip install virtualenv
2. Create a virtual environment for the project $ virtualenv -p /usr/bin/python2.7
matomo_tracker
3. Activate the virtual environment: $ source matomo_tracker/bin/activate
4. Download COUNTER Robots List: wget
https://raw.githubusercontent.com/atmire/COUNTER-
Robots/master/COUNTER_Robots_list.json
5. Download matomo_import_logs.py and matomo.yaml to activated project folder
6. Configure matomo parameters in matomo.yaml
7. Install the following packages:
○ pip install pyyaml
8. Run the importer /usr/bin/python2.7 {logs_folder}
Generic Tracker Script Configuration
14
matomo_config.yaml
Matomo_Parameters:
#Matomo tracker Endpoint
matomo_url: "https://analytics.openaire.eu/"
#Repository Base Url
repository_base_url: "https://repository.com"
#Matomo Repository Site ID
idSite: 47
#Matomo authenticastion token
#token_auth: "12345"
token_auth: "12345"
#matomo parameters (default values)
delay_after_failure: 10
default_max_attempts: 3
default_socket_timeout: 300
ip_anonymization: false
Generic Tracker Script Configuration
15
# Number of recorders. It should be set to the number of CPU cores in your server.
# You can also experiment with higher values which may increase performance until a certain
point
recorders: 1
#OAI-PMH Configuration
oaipmh_preamble: "oai:repository.com:"
oaipmh_regex: "/[0-9]*"
#Metadata Location (regexp supported)
tracking_metadata:
#- "/[0-9]*"
#- "^((?!.*pdf.*).)*$"
- "/handle/[0-9]*"
#- "/record"
#- "/publication/"
#Item Location (regexp supported)
tracking_download:
#- "pdf"
#- "/[0-9]*"
- "/bitstream/handle/[0-9]*"
#- "/download"
▪ Gathering of consolidated statistics reports from
aggregation services, such as IRUS-UK, using protocols
such as SUSHI-Lite.
▪ Statistics are stored to OpenAIRE’s DB for statistical
analysis.
▪ Statistics are deployed via OpenAIRE’s Portal or Sushi-
Lite API.
Collecting (Pull) Consolidated
Usage Statistics Reports
• 61 repositories tracked with Matomo ID
• 78 repositories via IRUS-UK
• 10 journals via SARC-OJS
Number of Platforms using Metrics Service actively
17
Metrics Service Evolution
18
Metrics Service Statistics
19
User-Interface in the Content Provider Dashboard
20
Aggregated and Combined Statistics of a Document from
different Repositories
21
Supported Report Types (COUNTER R4)
22
Retrieve Usage Statistics via API
23
based on
http://services.openaire.eu/usagestats/sushilite/
Supports COUNTER R4 compatible reports:
○ Article Reports (AR) and Book Reports (BR)
using identifiers like openaire, doi, oai-
record-id
○ Item Reports (IR)
○ Repository Reports (RR) using identifiers
issued by OpenAIRE or OpenDOAR
○ Journal Reports (JR) using identifiers like
ISSN
COUNTER USAGE REPORTS
RELEVANT FOR OPENAIRE
Repository Platform Report – RR1
Journal Report – JR1
Item Report – IR1
Article Report – AR1
Book Report – BR1
Book Chapter Report – BR2
Research Dataset Report tbc.
Research Software Usage Report tbc.
24
SUSHI response example (JSON)
Repository Report Item Report
• Enhance the visualization tools in the Dashboard.
• Offer “snippets” to embed the Metrics statistics in the
repositories.
• Support CoP for Research Data.
• Update to CoP Release 5.
• Setting up a Usage Statistics Hub (OpenAIRE, LA
Referencia, IRUS-UK, ...)
Next Steps
25
In 2020: Usage Statistics in Extended Contexts
26
Open Research Analytics Service
Usage
Statistics
Transactio
nal Data
Analytics
Interface
● Combining different types of data to provide insights of OA-Transformation
● a cooperation between OpenAIRE, OpenAPC and Knowledge Unlatched
Thank you!
www.openaire.eu/provide-community-calls
Andreas Czerniak, Bielefeld University
Dimitris Pierrakos, Athena Research and Innovation Center
Jochen Schirrwagen, Bielefeld University
Pedro Príncipe, University of Minho

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2nd Content Providers Community Call

  • 1. @openaire_eu 2nd Community Call OpenAIRE content providers managers 04/12/2019
  • 2. 1) OpenAIRE provide updates 2) Usage Statistics Service - service overview and specifications - workflows and data collection 3) Questions & comments (please share your use cases, issues) AGENDA: www.openaire.eu/provide-community-calls Notes & Agenda  https://bit.ly/2rTgJwy
  • 3. Provide – recent news Newbrokerevents available inprovide dashboard (orcid…) https://provide.openaire.eu Newusagestatsgeneric trackerscript(asapython scriptforothercases) https://github.com/openaire/Gen eric-Matomo-Tracker Guidelines v4compatibility inDspace 5&6(CanadianUniv. librariesaresupportingthedevelopmentof anextensiontoDSpace5&6thatwillsupport compliancewiththeOpenAIREGuidelinesv4. www.coar-repositories.org/news- updates/collaborating-to-support-greater-visibility-and- discoverability-of-open-scholarship/ Provide Public Roadmap weneedandwantyourfeedback https://trello.com/b/JHbHKLZ4/openaire- provide-roadmap
  • 4. New broker events – ORCID, Software 4 Missing ORCID Missing Software Link Publications to Software
  • 5. UsageStatisticsService -serviceoverviewandspecifications -workflowsanddatacollection Andreas Czerniak, Bielefeld University Dimitris Pierrakos, Athena Research and Innovation Center Jochen Schirrwagen, Bielefeld University Pedro Príncipe, University of Minho
  • 7. Usage Statistics Service Features Tracking of views and downloads (PUSH)/ collecting COUNTER reports (Pull) Anonymisation of IP- addresses. Metadata de- duplication enables accumulation of views and downloads for same documents COUNTER Code of Practice compatibility. standards based usage statistics. enables comparability with statistics from other data sources. Thisiswhere youtypeintheevent
  • 8. Metadata-Index UsageStatistics-DB ● Repository ● CRIS ● eJournal ● National Statistics Node ● Publisher PULL COUNTER Report PUSH tracked event IP- Anonym. processing script processing script Architecture and Workflows for Usage Statistics
  • 9. Push Usage Statistics Tracking Workflow ▪ An institutional repository registers in OpenAIRE’s Usage Statistics Service via the Content Provider Dashboard. ▪ Server side real-time tracking: Plugins (DSpace), patches (Eprints) using Matomo’s HTTP API. ▪ Usage Activity is tracked and logged at OpenAIRE’s Analytics platform in real time. ▪ Generic Log file parser: A python script that parses repository log files and sends the usage events to OpenAIRE’s Analytics platform (not in real time).
  • 10. Push Usage Statistics Tracking Workflow ▪ An offline workflow, based on Matomo API, transfers and stores usage events, to OpenAIRE’s DBs for statistical analysis. ▪ Statistics are deployed for human (OpenAIRE’s Portal) and machine (Sushi-Lite API) consumption.
  • 11. Enable Metrics for selected Datasource 11
  • 12. Configure Metrics for selected Datasource 12 1223456
  • 13. DSpace oapiwik.cfg #------------------------# # OpenAIRE Piwik Tracker # #------------------------# #Base Tracker URL oapiwik.piwik.trackerURL = https://analytics.openaire.eu/piwik.php #Piwik siteID oapiwik.piwik.siteID = 1 #Piwik Authentication Token oapiwik.piwik.tokenAuth=123456789 #IP Address Anonymization Bytes. Values in {1,2,3} #oapiwik.piwik.ipanonymizationbytes=2 # Flag to enable/disable tracking. Default is true oapiwik.piwik.enabled = true Plugin/Patch Configuration 13 Eprints OAPiwik.pl ################## # CONFIG START # ################ # Modify the following URL to the Piwik tracker location $c->{OAPiwik}->{tracker} = "https://analytics.openaire.eu/piwik.php"; # Enter the OpenAIRE Piwik Site ID $c->{OAPiwik}->{siteID} = "1"; # Enter the piwik token_auth $c->{OAPiwik}->{token_auth} = "32846584f571be9b57488bf4088f30ea"; # Specify the number of bytes, 1,2 or 3, for IP Anonymization (empty for no IP Anonymization) $c->{OAPiwik}->{noOfBytes} = ""; # Other Config Parameters $c->{OAPiwik}->{ua} = LWP::UserAgent->new(conn_cache => LWP::ConnCache->new,); $c->{plugins}->{"Event::OAPiwik"}->{params}->{disable} = 0; 123456
  • 14. 1. Install virtualenv $ pip install virtualenv 2. Create a virtual environment for the project $ virtualenv -p /usr/bin/python2.7 matomo_tracker 3. Activate the virtual environment: $ source matomo_tracker/bin/activate 4. Download COUNTER Robots List: wget https://raw.githubusercontent.com/atmire/COUNTER- Robots/master/COUNTER_Robots_list.json 5. Download matomo_import_logs.py and matomo.yaml to activated project folder 6. Configure matomo parameters in matomo.yaml 7. Install the following packages: ○ pip install pyyaml 8. Run the importer /usr/bin/python2.7 {logs_folder} Generic Tracker Script Configuration 14
  • 15. matomo_config.yaml Matomo_Parameters: #Matomo tracker Endpoint matomo_url: "https://analytics.openaire.eu/" #Repository Base Url repository_base_url: "https://repository.com" #Matomo Repository Site ID idSite: 47 #Matomo authenticastion token #token_auth: "12345" token_auth: "12345" #matomo parameters (default values) delay_after_failure: 10 default_max_attempts: 3 default_socket_timeout: 300 ip_anonymization: false Generic Tracker Script Configuration 15 # Number of recorders. It should be set to the number of CPU cores in your server. # You can also experiment with higher values which may increase performance until a certain point recorders: 1 #OAI-PMH Configuration oaipmh_preamble: "oai:repository.com:" oaipmh_regex: "/[0-9]*" #Metadata Location (regexp supported) tracking_metadata: #- "/[0-9]*" #- "^((?!.*pdf.*).)*$" - "/handle/[0-9]*" #- "/record" #- "/publication/" #Item Location (regexp supported) tracking_download: #- "pdf" #- "/[0-9]*" - "/bitstream/handle/[0-9]*" #- "/download"
  • 16. ▪ Gathering of consolidated statistics reports from aggregation services, such as IRUS-UK, using protocols such as SUSHI-Lite. ▪ Statistics are stored to OpenAIRE’s DB for statistical analysis. ▪ Statistics are deployed via OpenAIRE’s Portal or Sushi- Lite API. Collecting (Pull) Consolidated Usage Statistics Reports
  • 17. • 61 repositories tracked with Matomo ID • 78 repositories via IRUS-UK • 10 journals via SARC-OJS Number of Platforms using Metrics Service actively 17
  • 20. User-Interface in the Content Provider Dashboard 20
  • 21. Aggregated and Combined Statistics of a Document from different Repositories 21
  • 22. Supported Report Types (COUNTER R4) 22
  • 23. Retrieve Usage Statistics via API 23 based on http://services.openaire.eu/usagestats/sushilite/ Supports COUNTER R4 compatible reports: ○ Article Reports (AR) and Book Reports (BR) using identifiers like openaire, doi, oai- record-id ○ Item Reports (IR) ○ Repository Reports (RR) using identifiers issued by OpenAIRE or OpenDOAR ○ Journal Reports (JR) using identifiers like ISSN COUNTER USAGE REPORTS RELEVANT FOR OPENAIRE Repository Platform Report – RR1 Journal Report – JR1 Item Report – IR1 Article Report – AR1 Book Report – BR1 Book Chapter Report – BR2 Research Dataset Report tbc. Research Software Usage Report tbc.
  • 24. 24 SUSHI response example (JSON) Repository Report Item Report
  • 25. • Enhance the visualization tools in the Dashboard. • Offer “snippets” to embed the Metrics statistics in the repositories. • Support CoP for Research Data. • Update to CoP Release 5. • Setting up a Usage Statistics Hub (OpenAIRE, LA Referencia, IRUS-UK, ...) Next Steps 25
  • 26. In 2020: Usage Statistics in Extended Contexts 26 Open Research Analytics Service Usage Statistics Transactio nal Data Analytics Interface ● Combining different types of data to provide insights of OA-Transformation ● a cooperation between OpenAIRE, OpenAPC and Knowledge Unlatched
  • 27. Thank you! www.openaire.eu/provide-community-calls Andreas Czerniak, Bielefeld University Dimitris Pierrakos, Athena Research and Innovation Center Jochen Schirrwagen, Bielefeld University Pedro Príncipe, University of Minho