BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-europe-2025//speaker//GQ L9US BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2025-8GJRDX@talks.staging.osgeo.org DTSTART;TZID=CET:20250716T163000 DTEND;TZID=CET:20250716T170000 DESCRIPTION:Over the last decade\, the global landscape of data sharing has gone through profound changes that also applied to the geospatial domain\ , where traditional Spatial Data Infrastructures (SDIs) have progressively evolved into multifaceted data sharing ecosystems [1]. These ecosystems e mbraced fundamentally new elements in terms of: (big) data sources (e.g. f rom research\, Earth Observation\, Internet of Things devices\, crowdsourc ing initiatives\, synthetic data from Artificial Intelligence/Machine Lear ning algorithms or Digital Twins)\; technology and infrastructures (e.g. c loud/edge/fog architectures\, standards to encode and share data\, AI/ML m odels)\; actors such as private companies and citizens becoming valuable p roviders of data and services\; legislation (e.g. to open up data\, foster data sharing and protect privacy)\; and business models and governance me chanisms [2\,3].\nWithin this modern and dynamic context\, it becomes incr easingly important to setup targeted\, fit-for-purpose\, and efficient mec hanisms to monitor the status and evolution of SDIs to extract the insight s needed by policy and decision makers. In this work\, we present the expe rience of monitoring the implementation of the European SDI established af ter the INSPIRE Directive\, reflect on the lessons learnt from the process \, and distill some recommendations for future policy-relevant scientific work.\nIn force since 2007\, the INSPIRE Directive [4] set the legal basis to create an interoperable pan-European SDI based on the SDIs of the Euro pean Union (EU) Member States\, with legal and technical requirements on t he FAIRness (Findability\, Interoperability\, Interoperability\, Reusabili ty) of data: discoverability through metadata\, accessibility through netw ork services\, and interoperability through common data models. The status of implementation for each Member State is assessed through an annual mon itoring exercise\, in which 19 indicators defined in a legal act [5] are c alculated based on the metadata harvested each year from the Member States catalogues. These are grouped in 5 categories focused on: i) availability of datasets\, ii) conformity of metadata\, iii) conformity of datasets\, iv) accessibility of datasets\, and v) conformity of network services. Sin ce the entry into force of the legal act on INSPIRE monitoring [5] in 2019 \, the Joint Research Centre (JRC) of the Commission has calculated those indicators for 6 consecutive years\, thus producing a valuable time series from which to derive insights and lessons learned\, which in the followin g are grouped in three categories: i) geospatial resources (data\, metadat a and services)\; ii) tools/technology and iii) community/governance.\nReg arding the resources shared by the Member States\, over the last 6 years I NSPIRE implementation has overall advanced. Although it remains heterogene ous across countries\, aggregated statistics on the indicators show that m ore datasets have been made available and these are increasingly more inte roperable and accessible. Nevertheless\, challenges remain as e.g. i) some indicators rely on self-declarations of conformity made by data providers \, which were proven to be unreliable\; ii) indicators are provider-centri c\, i.e. they describe the offer from data providers but not their actual adoption and reuse by the public\; iii) they do not analyse the quality of the datasets\; and iv) while capturing the amount of available datasets\, they do not capture the presence or lack of specific datasets. Research s hould investigate ways to address these challenges without increasing the required effort\, e.g. by leveraging new\, AI-based solutions.\nTools and technology have played a crucial role in the INSPIRE monitoring process. T he calculation of indicators has been fully automated and the software sta ck has evolved over the years and currently includes all open source appli cations: the [INSPIRE Geoportal](https://inspire-geoportal.ec.europa.eu/sr v/eng/catalog.search#/home) based on [GeoNetwork](https://geonetwork-opens ource.org/)\, the [INSPIRE Reference Validator](https://inspire.ec.europa. eu/validator/home/index.html) based on the [ETF](https://github.com/etf-va lidator)\, and a set of custom-made open source Python and SQL [scripts](h ttps://github.com/INSPIRE-MIF/mr-tools). The open source nature of the com ponents\, with clear release processes allowing data providers to test the ir implementations in advance\, ensures objectivity\, transparency and rep roducibility of results. The use of a reference validation tool also bring s legal certainty to the process. Additionally\, Large Language Models (in particular\, the open-source Mixtral) have proven extremely useful in ref ining\, testing\, and validating results. Finally\, the monitoring process has benefited from integrating newly developed standards such as OGC API - Features for data sharing and GeoPackage for data encoding\, enabling Me mber States to streamline and modernise their infrastructures in a legally viable way.\nFinally\, the success of the INSPIRE monitoring exercise\, a n iterative process undergoing incremental changes over the years\, relies on establishing a continuous dialogue and building trust with the relevan t community. This is achieved through a clear governance structure\, provi sion of open and scientifically sound guidance on indicator calculation\, clear explanation of results\, and targeted\, country-specific feedback on potential improvement areas. The process has also highly contributed to t he evolution of the open source tools mentioned above.\nThe lessons learne d from this unique SDI initiative\, with no equivalent in temporal and spa tial extension\, can inform and benefit similar initiatives\, while also h ighlighting the need for specific scientific and technological advancement s\, including in the field of open source\, to further reduce the distance between data and (data-driven) decision-making. DTSTAMP:20260527T015051Z LOCATION:PA01 (Quarticle) SUMMARY:Monitoring the FAIRness of geospatial data: Lessons learnt from the European Union - Marco Minghini URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/8GJRDX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-europe-2025-Q8FVUH@talks.staging.osgeo.org DTSTART;TZID=CET:20250717T120000 DTEND;TZID=CET:20250717T123000 DESCRIPTION:Published in 2019\, the Open Data Directive (Directive 2019/102 4) introduced the notion of high-value datasets. These are datasets from E U public sector organisations that – thanks to their reuse\, especially from small and medium-sized enterprises (SMEs) – hold the potential to g enerate significant socioeconomic or environmental benefits as well as inn ovative services. As such\, the Directive required that high-value dataset s are made available free of charge\, under open licenses (CC BY 4.0 or an y equivalent or less restrictive license)\, via Application Programming In terfaces (APIs) and\, where relevant\, as a bulk download. \nWhile the Dir ective only listed the six categories of high-value datasets (Geospatial\, Earth observation and environment\, Meteorological\, Statistics\, Compani es and company ownership\, Mobility)\, the subsequent Implementing Regulat ion – in force since February 2023 and applicable from June 2024 – pro vided the actual list of datasets to be made available by EU Member States \, together with the requirements for their publication\, e.g. in terms of granularity\, key attributes and metadata. Three out of the six categorie s of high-value datasets (Geospatial\, Earth observation and environment\, and Mobility) include datasets with a geospatial nature\, which were on p urpose defined to match the datasets already in scope of the INSPIRE Direc tive (Directive 2007/2/EC). This is the Directive\, in force since 2007 an d currently under revision within the GreenData4All initiative\, which est ablished a pan-European spatial data infrastructure. INSPIRE was mostly fo cused on achieving data discoverability\, accessibility and interoperabili ty\, but it did not provide requirements on data licensing. The result is that datasets are made available under several different reuse conditions\ , including only a portion of open data. Therefore\, the high-value datase ts Implementing Regulation is expected to add an open license requirement to INSPIRE data\, thus opening up new opportunities for all stakeholders i nterested in reusing EU public sector data.\nThis talk will first describe the high-value datasets Regulation and provide an overview of the geospat ial datasets in scope and the requirements on their provision. Afterwards\ , it will present the results of the first reporting exercise from EU Memb er States due in February 2025\, compare the results with the indicators m easuring the implementation of the INSPIRE Directive\, and reflecting on l essons learnt and emerging good practices. Finally\, the talk will zoom on specific and significant examples of EU public sector data that have been unlocked thanks to the Regulation and hold the potential to drive meaning ful impact in various fields. DTSTAMP:20260527T015051Z LOCATION:EL11 (Geosolutions) SUMMARY:Unlocking the value of geospatial data: early insights from the EU Open Data Directive - Marco Minghini URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/Q8FVUH/ END:VEVENT END:VCALENDAR