OpenAIRE usage statistics session slides at #DI4R2017. 1 Dec. 2017 - by Dimitris Pierrakos, Athena Research Center and Jochen Schirrwagen, Bielefeld University.
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Jo Lambert Jisc Paul Needham University of Cranfield
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Ross MacIntyre presents IRUS-UK, a service provided by Jisc that collects raw usage data from UK Institutional Repositories (IRs) and processes these data into COUNTER-compliant statistics. | OSFair2017 Workshop
Workshop title: Open metrics on the cloud
Workshop overview:
Impact metrics have a strong influence on the scientific community, affecting the assessment of institutions of higher education and research as well as decisions concerning who gets promoted or hired, who receives grants, and who publishes where. In this situation, it is essential that the methods used to calculate metrics should be transparent, and reproducible and that their integrity should be auditable, and beyond question. This workshop will discuss the limitations of current systems and platforms, presenting a use case from Usage Statistics platform, and the recommendations of creating an open platform for Impact Data.
Presentation abstract
IRUS-UK (Institutional Repository Usage Statistics UK) is a service provided by Jisc. It collects raw usage data from UK Institutional Repositories (IRs) and processes these data into COUNTER-compliant statistics. This provides repositories with comparable, authoritative, standards-based data. IRUS-UK enables UK IRs to share and expose statistics based on the COUNTER standard. It provides a nation-wide view of UK repository usage to all, it offers opportunities for benchmarking, provides aggregate data to organisations such as Jisc and research funders and enables a single service to act as an intermediary between UK repositories and other agencies/initiatives, such as OpenAIRE.
When: DAY 2 - PARALLEL SESSION 4 & 5
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The success of COUNTER in supporting adoption of a standard to measure e-resource usage over the past 15 years is apparent. The prevalence of global OA policies and mandates, and the role of institutional repositories within this context prompts demand for more granular metrics. It also raises the profile of data sharing of item level usage and research data metrics. The need for reliable and authoritative measures is key. This burgeoning interest is complemented by a number of initiatives to explore the measurement and tracking of usage of a broad range of objects outside traditional publisher platforms. Drawing on examples such as OpenAIRE, IRUSdata-UK, Crossref’s distributed usage logging and DOI event tracker projects, COAR Next Generation Repositories and IRUS-UK, this session will provide an update on progress in this area, discuss some challenges and current approaches to tackling them
Ross MacIntyre presents IRUS-UK, a service provided by Jisc that collects raw usage data from UK Institutional Repositories (IRs) and processes these data into COUNTER-compliant statistics. | OSFair2017 Workshop
Workshop title: Open metrics on the cloud
Workshop overview:
Impact metrics have a strong influence on the scientific community, affecting the assessment of institutions of higher education and research as well as decisions concerning who gets promoted or hired, who receives grants, and who publishes where. In this situation, it is essential that the methods used to calculate metrics should be transparent, and reproducible and that their integrity should be auditable, and beyond question. This workshop will discuss the limitations of current systems and platforms, presenting a use case from Usage Statistics platform, and the recommendations of creating an open platform for Impact Data.
Presentation abstract
IRUS-UK (Institutional Repository Usage Statistics UK) is a service provided by Jisc. It collects raw usage data from UK Institutional Repositories (IRs) and processes these data into COUNTER-compliant statistics. This provides repositories with comparable, authoritative, standards-based data. IRUS-UK enables UK IRs to share and expose statistics based on the COUNTER standard. It provides a nation-wide view of UK repository usage to all, it offers opportunities for benchmarking, provides aggregate data to organisations such as Jisc and research funders and enables a single service to act as an intermediary between UK repositories and other agencies/initiatives, such as OpenAIRE.
When: DAY 2 - PARALLEL SESSION 4 & 5
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Slides from the 26 Nov Make your data count webinar. The research community has long grappled with the problem of assessing and tracking the results of scholarship. Research data is no exception. The Make Data Count (MDC) project (https://makedatacount.org/), funded by the Sloan Foundation, has delivered a data usage metric standard (Code of Practice) and a workflow for the retrieval and display of standardised usage and citation metrics in your repository interface.
Listen to this webinar to learn more about the Make Data Count project and the 5 steps you can take to make the data in your repository count. Hear from MDC project team members who have already implemented MDC in the dash (https://dash.ucop.edu) and DataOne (https://search.dataone.org/data) repositories. Learn from their experience, see the results.
Our international speaker line-up includes Daniella Lowenberg (California Digital Library) and Patricia Cruse (DataCite).
Recording available: https://youtu.be/Lkysz0Mc7fo
As more resources are indexed online and as more researchers begin their quest in a digital environment, unique local collections and institutional repositories play an ever more important role. The development of standards for these materials and ensuring their long-term preservation is crucial. Please join the Standards Committee and the Holdings Committee to learn more about RDA for Non-MARC testers. Discover how the PIRUS2 project (Publisher and Institutional Repository Usage Statistics) is enabling the recording and reporting of articles hosted by aggregators or in repositories. Learn how preservation standards can ensure the long-term protection of digital collections.
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This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).
Scaling Usage Statistics across Repositories as an OpenAIRE Analytics Service...OpenAIRE
Presentation at the Open Repositories conference - 14 June 2016. Abstract:
Dimitris Pierrakos1, Jochen Schirrwagen2, Pedro Príncipe3, Ricardo Saraiva3
1ATHENA Research & Innovation Center, Greece; 2Bielefeld University; 3University of Minho
Usage metrics about scholarly output, such as publications and research data, are one of the measures to assess Open Access impact. The OpenAire 2020 [1] project aims to offer a service that monitors and analyzes usage information, as well as exploits usage metrics like views and downloads, which could be used as complements of bibliometrics and webometrics. In this paper, we present the first step towards the implementation of this service, manifested as a pilot run in a set of repositories, together with some initial results which illustrate the use of the applied methodology.
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In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
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2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
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Everything Counts in Large Amounts: Measuring the Impact of Usage Activity in Open Access Scholarly Environments - #DI4R2017 session
1. @openaire_eu
Everything Counts in Large
Amounts:
Measuring the Impact of Usage Activity in Open
Access Scholarly Environments
DI4R December 2017, Brussels
Dimitris Pierrakos, Athena Research Center
Jochen Schirrwagen, Bielefeld University
2. ● OpenAIRE infrastructure and Usage Statistics Service.
● Usage Data Collection strategies.
● Using Piwik for tracking and analytics.
● Applying COUNTER rules.
● Metrics in the Repository Manager Dashboard.
● Relation to Open Metrics and Next Generation Metrics.
Overview
3. • A pan-European Research Information platform to
monitor OA research outcomes from EC and other
national funders.
• Research analytics tools to promote new scientific
metrics & support evidence-based decision-making.
• Implementation of an OpenAIRE usage statistics
service for usage data collected from data providers.
OpenAIRE 2020
4. ● Task in OpenAIRE2020 covers:
○ aligning policies and standards for gathering and sharing of usage data
-> guidelines
○ considering legal aspects (data protection / data privacy)
○ relating usage statistics to other kinds of metrics
○ collecting and processing of usage data and producing consolidated,
standards-based usage statistics
● Task team: Athena Research Center, University of
Bielefeld, University of Minho, Jisc IRUS-UK,
Couperin + NOADs
Usage Statistics in OpenAIRE
5. ● OpenAIRE collects from 980 compatible data providers
~21 Mio documents
● currently 32 active data providers participating in
Usage statistics + IRUS-UK
● Usage statistics deployment under cc-0.
○ in OpenAIRE dashboard, portal and API.
Usage Statistics in the OpenAIRE Infrastructure
6. ● Tracking of views and downloads / collecting
COUNTER reports
○Push or Pull collection workflows.
● 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.
Usage Statistics Service Features
7. • World's leading open-source analytics platform.
• Valuable insights into website traffic and visitors activity.
• Piwik collects and stores PII (personally identifiable
information).
• Keeps full data ownership and can control who has access.
• Robot filtering plugin.
• Compliant with EU regulations.
• Recommended by privacy organizations such as ULD
(Germany) and CNIL (France).
Piwik Analytics platform
8. Piwik Google Analytics
Number of Hits per Month Unlimited 10 million
Number of user accounts per login Unlimited 10
Data storage time Unlimited 25 months
Number of properties
(websites, apps etc.) tracked per
account Unlimited 50
Custom Variables 5 5
Data Export Unlimited 5000 rows
Real time Analytics
Piwik offers real-time web
analytics
in all of its reports.
GA monitors user activity right
after it happens,
although period of delay is not
explicitly stated.
Piwik Facts
10. • An institutional repository is registered in Piwik.
• Server side tracking: Plugins (Dspace) or patches
(Eprints) using Piwik’s HTTP API.
• Usage Activity is tracked and logged at Piwik
platform in real time.
• Ιnformation is transferred offline, using Piwik’s API,
to OpenAIRE’s DBs for statistical analysis.
• Statistics are deployed via OpenAIRE’s Portal or
Sushi-Lite API.
Tier-1: Push Usage Statistics Tracking Workflow
11. 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
Tier-1: Piwik Tracking Parameters
12. ● Usage events can be considered privacy-sensitive
information (user-agent, ip-address, ...)
● Usage statistics services must comply with
data protection laws and regulations for both
usage data- and service-providers
○ but legal situation differs between the countries
○ OpenAIRE must comply with the EU-General Data Protection
Regulation
● Tracking plugins issued by OpenAIRE anonymize
usage data already on the client-side
Data Protection Aspects
15. • Applying data processing rules according to
COUNTER Code of Practice:
• ie. counting requests depending on session duration, tracing double-
clicks
• Bot filtering
• Piwik Bot Plugin
• COUNTER Robots Working Group
• Link of usage event with metadata record in
OpenAIRE
• Accumulate views and counts of de-duplicated
records
Cleaning and Consolidation
17. • 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.
Tier-2: Collecting (Pull) Consolidated Usage Statistics
Reports
26. ● Available as beta with the help of IRUS-UK
○ http://beta.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
SUSHI-Lite Interface
28. • Quantitative indicators for research
• Governance
• Management
• Assessment
• Dimensions
• Robust metrics in terms of accuracy and scope;
• Humble metrics recognizing that quantitative evaluation should support qualitative,
expert assessment;
• Open and Transparent metrics;
• Diverse metrics by field in order to support the plurality of research and researcher career
paths across the system;
• Reflexible metrics for recognising, anticipating and updating the systemic and potential
effects of indicators.
OpenAIRE: A Usage Statistics Hub for
Responsible Metrics
29. • Standardization: following COUNTER Code of
Practice
• by update to COUNTER R5
• by contribution to COUNTER Robots Working Group
• Put usage statistics into context with conventional
and alternative metrics and (open) peer review
Considering the HLEG Altmetrics
Recommendations
30. ● Develop Piwik plugins for other Repository platforms
(eg. Fedora, Samvera)
● Promote the service to content provider managers
● Support national usage statistics initiatives to
become a node in OpenAIRE Usage Statistics
● Contribute to the Open Metrics concept and vision
● Activities in OpenAIRE-Advance starting in 2018:
○support LA Referencia to set up a regional usage statistics network and
interlink
○working towards Open Metrics
Next Steps
31. ●Standardize usage statistics to enable assessment of research impact
○Standardize usage statistic metrics across OpenAIRE and EOSC-hub
○Collaborate with RDA (e.g. Make Data Count BoF working group)
○Promote common guidelines to and across communities
○Take EC rules and GDPR regulations into account
●Enable the collection/aggregation of usage stats from content providers
○Adopt OpenAIRE and EOSC-hub services for collecting user statistics, services in scope:
■EGI: Accounting System, AppDB
■ EUDAT: DPMT, B2SHARE, B2FIND, B2SAFE
○Adopt OpenAIRE Usage Statistics Services to collect user stats for all products of
science
■ e.g. literature, datasets, software, research objects
■ Integrating with EOSC-hub services for usage statistics/metrics
Collaboration with EOSC-hub
what this talk is about
usage statistics is published under cc-0.
how many data provider participate today ? 2700 repositories and eJournals, ~980 compatible data provider, > 21 Mio items
what this talk is about
what this talk is about
diagram about the components and dataflow
usage data collection strategies
what this talk is about
Column headers
37 registered / 32 active (repositories + OpenAIRE)
http://beta.repomanager.openaire.eu/#landing
workflow to enable metrics
tracking plugins for repositories
metrics visualization
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)
collection of questions
next steps (towards OpenAIRE Advance)