DLR EO-Data Management - User Metrics K. Molch, J. Senft, C

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Presentation transcript:

DLR EO-Data Management - User Metrics K. Molch, J. Senft, C DLR EO-Data Management - User Metrics K. Molch, J. Senft, C. Chereji German Aerospace Center DLR Earth Observation Center EOC Information Technology Division CEOS-WGISS #45 INPE, São José dos Campos, Brasil 12 April 2018

Overview User metrics reported in national Copernicus platform CODE-DE DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Overview User metrics reported in national Copernicus platform CODE-DE Sources of user information Reporting system architecture Personal data protection Tracking data use via persistent identifiers Conclusions

DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Reports generated for the Copernicus Data and Exploitation Platform Germany (CODE-DE) Background Project is funded nationally Project coordination DLR-EOC DLR-EOC is responsible for reporting work package Reports generated for project management and funding entity Reports Data Download Report User and User Activity Report Data Availability Report System Performance Report Data Processing Report Code-de.org

DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Data Download Report Number and volume of products queried and downloaded from CODE-DE platform during the reporting period Total global and European downloads Downloads per day & month, month & year (depending on reporting period) By mission and product type By access service (WCS, direct download, DHuS, subscription) By success of the operation (successful, partial, failed) By country of download ‘Top 20’ – Statistics for the 20 users with the largest number of downloads during the reporting period (users are rendered anonymous) User country of origin User category (education, research, federal authority, …) User field of activity (space, agriculture, forestry, …) Number & volume of downloads - total, per mission, per product type Information retrieved from User Management Service Information retrieved from Download Service

Data Download Report Top 20 report DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Data Download Report Top 20 report Report format - integrity vs. usability Ensure information remains unchanged Enable further processing, integration, analysis csv, sdmx, Excel, pdf, …

Fields of Activity and User Categories DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Fields of Activity and User Categories Fields of Activity Re-use of existing DLR UMS fields of activity mapped to ESA user fields for customized reporting tasks Fields of Activity DLR User Management System DLR Reporting Service ESA User Fields Agriculture Land Air Atmosphere Animal Husbandry Biology Climate Building Chemistry Other Disasters, Accidents, Risk Emergency Economics Energy Environmental Policy Fisheries Marine … Urban Environment, Urban Stress Waste Water User Categories Tailoring of ESA user domains to meet project requirements User Category DLR User Management System DLR Reporting Service ESA User Domains Individual Other Industry Commercial Research Education Authority Federal Authority

Data Download Report Examples of graphic representation DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Data Download Report Examples of graphic representation Density of downloads by product location Downloads by product location (center point of footprint of downloaded product) Number of downloaded products per mission per month (day) over reporting period of a year (month)

User and User Activity Report DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji User and User Activity Report Number of users and their activity on the CODE-DE platform based on user accounts Total number of users and increase of users during reporting period By country of origin By user category By field of application Number of changed user profiles Number of active users - number of users by time elapsed since last login (<1M, >1M-12M, >12M, never logged in)

DLR Reporting System Architecture DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji DLR Reporting System Architecture

DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Personal Data Protection I Rendering users anonymous for CODE-DE reporting purposes The Reporting Service does neither store nor use user names and/or full IP addresses Reporting Service receives information (ETL messages) from User Management Service (UMS) and Download Services UMS stores user names Download Services logs user names and full IP-addresses  data protection concept (what is stored, for which purpose, how, user consent, …) Before ingesting the information, the Reporting Service … … clips IP-addresses  only country of download can be retrieved … renders user names anonymous using ’hashing’ Reporting Service stores and processes only anonymized information

Personal Data Protection II Hashing user names to protect identity DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Personal Data Protection II Hashing user names to protect identity User names are transformed into >60-digit alphanumeric string example: f9f8d17aeacd88ce3802c61fa2bddc67666c354601a7a27a9d32de96896d2132 Algorithm used: SHA-256 One-way hashing  user name cannot be re-engineered Same input always produces the same output  same user receives the same hashed string, irrespective of source of user information (User Management Service, Download Services)  download information (e.g. number of downloaded products) can be merged with user management information (e.g. user field of application) e.g. for Top 20 report

Persistent Identifiers to Track Data Use DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Persistent Identifiers to Track Data Use Gradually assigning Digital Object Identifiers (DOI) to selected published DLR EO data sets Mostly higher level products Following CEOS Persistent Identifier Best Practice Allows to track data use via related publications - effort to extract relevant user / data use information dx.doi.org/10.15489/ak90g1wty90

DLR EO-Data Management - User Metrics • CEOS-WGISS #45 • 12 April 2018 • K. Molch, J. Senft, C. Chereji Conclusions User metrics tracked and reported as per project requirements Evaluating analysis of information held in overall User Management System and available from various ordering and download services (ETL messages, logfiles) To Do – explore analysis of ‘user satisfaction’ Review and compile possible sources of information (helpdesk, orderdesk, …) Unstructured information (emails, phone calls, …) Surveys a possibility – not systematically done yet CEOS initiative welcome Harmonized set of metrics to track Harmonized user survey questions Technical approach for reporting to CEOS

Thank you very much – Questions? Katrin Molch DLR Earth Observation Center Katrin.Molch@dlr.de