OpenAIRE Metrics Service: Usage Statistics (24x7 presentation at #OR2018)
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The document discusses the OpenAIRE usage statistics service, detailing its infrastructure, features, and workflows for collecting and processing usage metrics from various data providers. It outlines challenges associated with standardization and comparability of statistics and proposes next steps to enhance the service's integration and functionality. Key points include promoting the service to content providers and developing plugins for diverse repository platforms.
OpenAIRE Metrics Service: Usage Statistics (24x7 presentation at #OR2018)
- 1. @openaire_eu OpenAIRE METRICS SERVICE: usage statistics PedroPrincipe,UniversityofMinho DimitrisPierrakos,ATHENARICenter JochenSchirrwagen,BielefeldUniversity JosรฉCarvalho,UniversityofMinho
- 2. OpenAIRE infrastructure andUsageStatistics Service UsageStatssketch,Howitworks,TrackingWorkflow,ServiceFeatures. MetricsintheOpenAIRE Content ProviderDashboard OpenAIRE: ausage statistics HubforResponsible Metrics WhenandHowtoparticipate MainChallengesandLimitations,Nextsteps June 2018 2 TOPICS
- 5. OpenAIREโs e-infrastructure Commons & Usage Stats sketch Publications repositories Research Data repositories CRIS systems Registries (e.g. projects) OA Journals Software Repositories Validation Cleaning De-duplication Enrichment By inference CONTENT PROVIDERS INFO SPACE SERVICES Project initiative FunderFunding Result Publication Data Software Organization OpenAIRE USAGE STATISTICS SERVICE Linking Usage Event โ Research Result Tracking / (Logging) Exposing / Reporting
- 6. Metadata-Index UsageStatistics-DB โ Repository โ CRIS โ eJournal โ National Statistics Node โ Publisher PULL COUNTER Report PUSH tracked event IP-Anonym. processing script processing script Tiers Collection Workflows for Usage Statistics
- 7. ๏ง Aninstitutional repository isregistered inMatomo. ๏ง Serversidetracking: Plugins(Dspace)orpatches(Eprints) usingMatomoโsHTTPAPI. ๏ง Usage Activityistrackedandlogged atMatomoplatformin realtime. ๏ง ฮnformationistransferredoffline, usingMatomoโs API,to OpenAIREโs DBsforstatistical analysis. ๏ง Statistics aredeployed forhuman(OpenAIREโs Portal)and machine(Sushi-LiteAPI)consumption. PushUsage Statistics Tracking Workflow
- 8. Parameter Description idSite the ID of the repository idVisit a visitor/session ID (an 8 byte binary string) visitIP (optionally anonymized) the IP address of the visitor action the action performed (view, download, outlink, etc) url the url of the requested item timestamp the date & time of the request OAI-PMH Identifier the Open Access Initiative identifier of the item being viewed/downloaded agent the Web Browser and the operating system of the visitor referrer The url linked to the item requested Matomo Tracking Parameters
- 9. ๏ง Gathering of consolidated statistics reports from aggregation services, such as IRUS-UK, using protocols such as SUSHI-Lite. ๏ง Statistics are stored to OpenAIREโs DB for statistical analysis. ๏ง Statistics are deployed via OpenAIREโs Portal or Sushi- Lite API. Collecting (Pull) Consolidated Usage Statistics Reports
- 10. UsageStatisticsServiceFeatures Tracking ofviewsand downloads /collecting COUNTERreports PushorPullcollectionworkflows. Anonymisation ofIP- addresses. Metadata de-duplication enables accumulation of viewsanddownloads for samedocuments COUNTERCodeofPractice compatibility. standardsbasedusagestatistics. enablescomparabilitywithstatistics fromotherdatasources. This is where you type in the event
- 11. โ OpenAIRE collects from > 1000 compatible data providers ~24 Mio documents โ currently 32 active data providers participating in Usage statistics + IRUS-UK โ Usage statistics deployment under cc-0 license. โ in OpenAIRE dashboard, portal and API. Usage Statistics in the OpenAIRE Infrastructure
- 15. โ Four steps to join OpenAIRE Usage Statistics 1. Download. 2. Configure. 3. Deploy. 4. Validate (by OpenAIRE). โ Or enter SUSHI endpoint to let OpenAIRE collect COUNTER reports Metrics in the OpenAIRE Dashboard for content providers
- 16. Configure Metrics for selected Datasource 000 01233456
- 17. Usage Metrics by example of the UMinho Repository
- 18. โ Available as beta with the help of IRUS-UK โ http://beta.services.openaire.eu/usagestats/sushilite/ โ Supports COUNTER R4 compatible reports: โ ArticleReports(AR)andBookReports(BR)using identifierslikeopenaire,doi,oai-record-id โ ItemReports(IR) โ RepositoryReports(RR)usingidentifiersissuedby OpenAIREorOpenDOAR โ JournalReports(JR)usingidentifierslikeISSN SUSHI-Lite Interface COUNTERUSAGEREPORTS RELEVANTFOROPENAIRE RepositoryPlatformReportโRR1 JournalReportโJR1 ItemReportโIR1 ArticleReportโAR1 BookReportโBR1 BookChapterReportโBR2 ResearchDatasetReporttbc. ResearchSoftwareUsageReporttbc.
- 19. Repository Report Item Report SUSHI response example (JSON)
- 21. โข Comparability ofUsage Statistics acrossplatforms โข Mustbecollectedandprocessedbyagreedcommonstandards,e.g.COUNTERCoP โข Mustbeopenlyaccessiblebydefault(e.g.CC-0license) โข Comparability ofUsage Statistics ofdifferent versions ofanitem โข E.g.UsageStatisticsofOpenAccessvs.non-OpenAccessitemversions โข UsageStatisticsmustbeenrichedbyitemidentifiers โข Itemsmusthavecomprehensivemetadatadescriptions โข Contextualized UsageStatistics โข COUNTERReportsareabasicfirststepbutlimitedonstatisticsperplatform(items) โข Aggregatedusagestatisticsofdeduplicateditems โข LinkedresearchresultsandtheirUsageStatisticsinthecontextof (e.g. a project or topic) Main Challenges and Limitations
- 22. โ Develop Matomo plugins for other Repository platforms (eg. Fedora, Samvera) โ Promote the service to content provider managers โ Support national usage statistics initiatives to become a node in OpenAIRE Usage Statistics โ E.g. LA Referencia to set up a regional usage statistics network โ Contribute to the Open Metrics concept and vision โ Update to COUNTER R5 standard and support of COUNTER CoP for Research Data Next Steps
- 23. โข We already link publications and datasets โข Letโs link their usage statistics too, make usage statistics more valuable and meaningful Future direction: The Usage Statistics Hub Concept Hub of Publ.-Level Metrics Hub of Data-Level Metrics Data Repositories Inst. / Thematic Repositories Regional / National Statistics Services, e.g. IRUS, OpenAIRE, EOSC-Infrastructures track track track trackprovide provide provide provide link e.g. Making DataCount, IRUSdata, OpenAIRE, EOSC-Infrastructures
Editor's Notes
- #6: The OpenAIRE aggregates metadata from its data providers resulting in an enriched information graph. In addition OpenAIRE can track the usage of items in the repositories and other content providers and link them to the records in the information graph. The usage events are processed, cleaned, normalized, deduplicated and published for human and machine consumption.
- #7: diagram about the components and dataflow usage data collection strategies
- #8: what this talk is about
- #9: Column headers
- #10: what this talk is about
- #16: http://beta.repomanager.openaire.eu/#landing workflow to enable metrics tracking plugins for repositories metrics visualization
- #19: http://beta.services.openaire.eu/usagestats/sushilite/ reports cover the data sources tracked by Piwik + data sources collected from statistics nodes (eg. IRUS-UK) for fulltext downloads (ft_total) and metadata views (abstract)
- #23: collection of questions next steps (towards OpenAIRE Advance)
- #24: Make Data Count EOSC - infrastructure resource usage