News > INSPIRE

Who doesn’t love to get fully valid metadata?

The product team at wetransform has been working towards full compliance with version 2.0 of the Technical Guidance for the implementation of INSPIRE dataset and service metadata based on ISO/TS 19139:2007 over the past several months. A special thanks goes to Eleazar Araujo for his dedicated efforts in implementing the requirements.

We are pleased to announce that auto-generated hale»connect dataset and network service metadata is now fully compliant with that technical guidance.

wetransform helped develop the release planning process for the INSPIRE Reference Validator and as we look towards the last scheduled release of the year to include potentially breaking changes, we’d like to share some of the challenges that have kept us busy.

Adapting for Change

The migration from metadata version 1.3 to 2.0 involves a long list of removed requirements, new requirements, changed requirements and combined or altered requirements. For an exhaustive list of changes, review this document.

Important clarifications on the handling of conditions applying to access and use were introduced in metadata version 2.0, outlined in TG Requirement C.17 and TG Requirement C.18. The hale»connect metadata editor now enables users to make a selection from the INSPIRE Limitations on public access codelist. In the actual metadata, this codelist entry is encoded using gmx:Anchor. Users can now also select a codelist value from the INSPIRE Conditions applying to access and use codelist to set access and use conditions.

New requirements

The INSPIRE validator has added a new conformance class, Conformance Class 2b: INSPIRE data sets and data set series metadata for Monitoring to test INSPIRE monitoring and reporting requirements, including spatial scope and priority dataset keywords, that are not a part of the technical guidance.

The hale»connect metadata editor now enables users to tag metadata with a descriptive keyword from the Spatial scope controlled vocabulary in the INSPIRE Registry. The purpose of the codelist is to enable the monitoring of the distribution of regional and national level datasets supplied by Member States. Visit the [INSPIRE Maintenance and Implementation Group MIG for more information.

In addition to the Spatial scope keyword, the hale»connect metadata editor also supports tagging datasets with value(s) from to the Priority Dataset controlled vocabulary in the INSPIRE Registry. Priority dataset keywords serve to identify priority datasets provided by Member States and facilitate the discovery of datasets in the Thematic Viewer. For more information about the technical implementation of tagging priority datasets for the INSPIRE Thematic Viewer, visit the INSPIRE helpdesk wiki. Both Spatial scope and Priority dataset codelist values can be added directly to hale»connect metadata using dropdown menus in the dataset metadata editor.

Ever evolving

More changes are coming up, and we will monitor them and adapt our solutions to make sure your datasets, metadata and services remain compliant with the ever-changing demands of INSPIRE requirements.

Compliance is a complex topic which involves not only the technical requirements and the INSPIRE validator, but also tests run by third party solution providers OGC CITE, and new issues that can arise when testing new datasets in new conformance classes which contain elements that trigger the execution of additional tests.

Although all of our generated metadata is error free, hale»connect WMS view services currently receive a schema validation error because we include http://schemas.opengis.net/sld/1.1.0/sld_capabilities.xsd in the schema location of the GetCapabilities document. We do this to offer the GetLegendGraphic request and we are currently discussing the issue in the INSPIRE validator community as we are of the opinion that it should be permitted.

hale»connect WFS download services receive temporal filter validation errors for some datasets that contain temporal elements due to an error in the OGC CITE Team Engine, which has been fixed in the latest release. Once the updated Direct WFS conformance class is rolled out, the INSPIRE validator will use it and the issues will be resolved. hale»connect ATOM feeds continue to receive errors due to known bugs that we are working to solve.

We are testing continuously, and in doing so we hope to provide hale»connect users implementing automated metadata solutions a framework for metadata 2.0 compliancy and beyond.

Other hale connect updates

While compliance has been the number 1 priority, we’ve also added some new features.

Shapefile and attachments publishing

hale»connect now supports publishing shapefiles with referenced attachments. Relative file references added to fields within shapefile attribute tables are recognized as attachments and transferred to the target dataset if there is a transformation configured for the dataset. Attachments can include .PDF, .PNG, .PGW, .GeoTIFF or other file formats. Attachments provide users the option to serve additional, supportive documents in pre-defined download services. Learn more about attachments on hale»connect.

Copy Profiles

Profiles can now be copied on hale»connect. This functionality enables the use of existing profiles as a base for other profiles, which might be more restrictive. When copying a profile that belongs to an organisation other than the current user’s context, both the profile and the underlying schema must have the access permissions set to “Public”.

Who doesn’t love to get fully valid metadata?

The product team at wetransform has been working towards full compliance with version 2.0 of the Technical Guidance for the implementation of INSPIRE dataset and service metadata based on ISO/TS 19139:2007 over the past several months. A special thanks goes to Eleazar Araujo for his dedicated efforts in implementing the requirements.

We are pleased to announce that auto-generated hale»connect dataset and network service metadata is now fully compliant with that technical guidance.

wetransform helped develop the release planning process for the INSPIRE Reference Validator and as we look towards the last scheduled release of the year to include potentially breaking changes, we’d like to share some of the challenges that have kept us busy.

Adapting for Change

The migration from metadata version 1.3 to 2.0 involves a long list of removed requirements, new requirements, changed requirements and combined or altered requirements. For an exhaustive list of changes, review this document.

Important clarifications on the handling of conditions applying to access and use were introduced in metadata version 2.0, outlined in TG Requirement C.17 and TG Requirement C.18. The hale»connect metadata editor now enables users to make a selection from the INSPIRE Limitations on public access codelist. In the actual metadata, this codelist entry is encoded using gmx:Anchor. Users can now also select a codelist value from the INSPIRE Conditions applying to access and use codelist to set access and use conditions.

New requirements

The INSPIRE validator has added a new conformance class, Conformance Class 2b: INSPIRE data sets and data set series metadata for Monitoring to test INSPIRE monitoring and reporting requirements, including spatial scope and priority dataset keywords, that are not a part of the technical guidance.

The hale»connect metadata editor now enables users to tag metadata with a descriptive keyword from the Spatial scope controlled vocabulary in the INSPIRE Registry. The purpose of the codelist is to enable the monitoring of the distribution of regional and national level datasets supplied by Member States. Visit the [INSPIRE Maintenance and Implementation Group MIG for more information.

In addition to the Spatial scope keyword, the hale»connect metadata editor also supports tagging datasets with value(s) from to the Priority Dataset controlled vocabulary in the INSPIRE Registry. Priority dataset keywords serve to identify priority datasets provided by Member States and facilitate the discovery of datasets in the Thematic Viewer. For more information about the technical implementation of tagging priority datasets for the INSPIRE Thematic Viewer, visit the INSPIRE helpdesk wiki. Both Spatial scope and Priority dataset codelist values can be added directly to hale»connect metadata using dropdown menus in the dataset metadata editor.

Ever evolving

More changes are coming up, and we will monitor them and adapt our solutions to make sure your datasets, metadata and services remain compliant with the ever-changing demands of INSPIRE requirements.

Compliance is a complex topic which involves not only the technical requirements and the INSPIRE validator, but also tests run by third party solution providers OGC CITE, and new issues that can arise when testing new datasets in new conformance classes which contain elements that trigger the execution of additional tests.

Although all of our generated metadata is error free, hale»connect WMS view services currently receive a schema validation error because we include http://schemas.opengis.net/sld/1.1.0/sld_capabilities.xsd in the schema location of the GetCapabilities document. We do this to offer the GetLegendGraphic request and we are currently discussing the issue in the INSPIRE validator community as we are of the opinion that it should be permitted.

hale»connect WFS download services receive temporal filter validation errors for some datasets that contain temporal elements due to an error in the OGC CITE Team Engine, which has been fixed in the latest release. Once the updated Direct WFS conformance class is rolled out, the INSPIRE validator will use it and the issues will be resolved. hale»connect ATOM feeds continue to receive errors due to known bugs that we are working to solve.

We are testing continuously, and in doing so we hope to provide hale»connect users implementing automated metadata solutions a framework for metadata 2.0 compliancy and beyond.

Other hale connect updates

While compliance has been the number 1 priority, we’ve also added some new features.

Shapefile and attachments publishing

hale»connect now supports publishing shapefiles with referenced attachments. Relative file references added to fields within shapefile attribute tables are recognized as attachments and transferred to the target dataset if there is a transformation configured for the dataset. Attachments can include .PDF, .PNG, .PGW, .GeoTIFF or other file formats. Attachments provide users the option to serve additional, supportive documents in pre-defined download services. Learn more about attachments on hale»connect.

Copy Profiles

Profiles can now be copied on hale»connect. This functionality enables the use of existing profiles as a base for other profiles, which might be more restrictive. When copying a profile that belongs to an organisation other than the current user’s context, both the profile and the underlying schema must have the access permissions set to “Public”.

(more)

News entry thumbnail
hale»studio 4.0: Ready for the Future - and for XPlanung!
01.07.2020 by Thorsten Reitz, Christopher Hönn

Our main objective for this release has been to modernize hale studio from the ground up, by making it compliant with current OpenJDK versions, using the most recent eclipse RCP version, and by upgrading as many dependencies such as GeoTools as feasible. While we did not yet achieve full compliance with Java 11, we think that the current builds have accumulated so many updates that it is worth giving it to you as a new major release:

  • Major updates to the documentation and help
  • Reader and Writer for GeoPackage
  • A specific Writer for XPlanGML that supports partitioning by plan
  • Added presets for CEN/TS 17268 (TN-ITS), ISO 19139, XPlanGML 4.0/4.1/5.0/5.1/5.2/5.3beta and GeoInfoDok 6.0.1/7.0/7.1
  • Enhancements for GML Dictionary Codelist handling
  • Support for TLS 1.2
  • Various bug fixes and enhancements

The complete changelog is available here. To avoid any compatibility issues when using an existing workspace, we recommend starting with a fresh one when you install hale»studio 4.0. Furthermore, due to the GeoTools & JTS upgrade, the geometry bindings have changed. This breaks backwards compatibility of Groovy Scripts and Alignments created in 4.0. We will provide information on how you can manually backport your Groovy scripts if necessary.

If you are a user of the hale studio pro plugins, you need to upgrade these as well. Please reach out to the Servicedesk to get the new plug-ins.

If you would like to get some hale»studio training, check out our current webinar schedule.

Reader and Writer for GeoPackage

GeoPackage is the optimal, open format for delivering medium to large sized data sets to GIS users. It is a single file that can store tables, vector geometries and rasters. It is extensible and can deal with simple and more detailed data models well. There is even the option to add views and to store styles in a GeoPackage. It doesn’t have issues such as 11 character attribute limits, unknown encodings, missing or incomplete projection files, and is very fast to access.

For these reasons, there have been several requests to add GeoPackage to the list of supported formats for hale studio. We have now added a Reader and a Writer. The Writer can create GeoPackages from scratch, including the schema and metadata. This means you can even use an XML schema and then write your data to a GeoPackage. However, the required model transformations to make this work in complex cases are planned for the next release.

This work was funded by the Umweltbundesamt Austria and Rijkswaterstaat Netherlands, and supported by the European Environmental Agency.

XPlanGML writer and presets

XPlanung is a standard for all kinds of spatial plans that is currently implemented by thousands of agencies all across Germany. To make the work with XPlanGML in hale studio easier, we have added two features - Schema Presets for all releveant XPlanGML versions, and a writer that creates XPlanAuszug files without requiring manual configuration. This writer furthermore supports writing the data to one file per plan object - so you will get a file that has, for example the BP_Plan, the BP_Bereich and all directly or indirectly referenced objects.

This work was supported by the XLeitstelle.

Download hale studio

Download the latest version and send us your feedback:

Thanks to our customers for funding this work on the 27th release of hale studio!

Make it hot: hale studio pro

Learn how the hale studio pro packages can help you to

  • benefit from our INSPIRE knowledge transfer
  • validate data against the INSPIRE / ETF
  • connect with enterprise databases
  • and join in on the hale»studio community milestone meetings (e.g. on July 2nd, 2020 at 15:30 CEST).

Our main objective for this release has been to modernize hale studio from the ground up, by making it compliant with current OpenJDK versions, using the most recent eclipse RCP version, and by upgrading as many dependencies such as GeoTools as feasible. While we did not yet achieve full compliance with Java 11, we think that the current builds have accumulated so many updates that it is worth giving it to you as a new major release:

  • Major updates to the documentation and help
  • Reader and Writer for GeoPackage
  • A specific Writer for XPlanGML that supports partitioning by plan
  • Added presets for CEN/TS 17268 (TN-ITS), ISO 19139, XPlanGML 4.0/4.1/5.0/5.1/5.2/5.3beta and GeoInfoDok 6.0.1/7.0/7.1
  • Enhancements for GML Dictionary Codelist handling
  • Support for TLS 1.2
  • Various bug fixes and enhancements

The complete changelog is available here. To avoid any compatibility issues when using an existing workspace, we recommend starting with a fresh one when you install hale»studio 4.0. Furthermore, due to the GeoTools & JTS upgrade, the geometry bindings have changed. This breaks backwards compatibility of Groovy Scripts and Alignments created in 4.0. We will provide information on how you can manually backport your Groovy scripts if necessary.

If you are a user of the hale studio pro plugins, you need to upgrade these as well. Please reach out to the Servicedesk to get the new plug-ins.

If you would like to get some hale»studio training, check out our current webinar schedule.

Reader and Writer for GeoPackage

GeoPackage is the optimal, open format for delivering medium to large sized data sets to GIS users. It is a single file that can store tables, vector geometries and rasters. It is extensible and can deal with simple and more detailed data models well. There is even the option to add views and to store styles in a GeoPackage. It doesn’t have issues such as 11 character attribute limits, unknown encodings, missing or incomplete projection files, and is very fast to access.

For these reasons, there have been several requests to add GeoPackage to the list of supported formats for hale studio. We have now added a Reader and a Writer. The Writer can create GeoPackages from scratch, including the schema and metadata. This means you can even use an XML schema and then write your data to a GeoPackage. However, the required model transformations to make this work in complex cases are planned for the next release.

This work was funded by the Umweltbundesamt Austria and Rijkswaterstaat Netherlands, and supported by the European Environmental Agency.

XPlanGML writer and presets

XPlanung is a standard for all kinds of spatial plans that is currently implemented by thousands of agencies all across Germany. To make the work with XPlanGML in hale studio easier, we have added two features - Schema Presets for all releveant XPlanGML versions, and a writer that creates XPlanAuszug files without requiring manual configuration. This writer furthermore supports writing the data to one file per plan object - so you will get a file that has, for example the BP_Plan, the BP_Bereich and all directly or indirectly referenced objects.

This work was supported by the XLeitstelle.

Download hale studio

Download the latest version and send us your feedback:

Thanks to our customers for funding this work on the 27th release of hale studio!

Make it hot: hale studio pro

Learn how the hale studio pro packages can help you to

  • benefit from our INSPIRE knowledge transfer
  • validate data against the INSPIRE / ETF
  • connect with enterprise databases
  • and join in on the hale»studio community milestone meetings (e.g. on July 2nd, 2020 at 15:30 CEST).

(more)

At wetransform, we fully support INSPIRE implementers since we think that key problems can be better solved through cross-border, accessible and useable, harmonised data. In February, we have started a new project that heavily builds on harmonised INSPIRE data to solve a critical issue: The massive ecological and economic impact of climate change on our forests.

Forests are subject to numerous stressors: extreme weather events such as heat, drought and heavy rainfall, pests such as bark beetles and air pollutants. Even tree species that were considered to be stable have suffered from these stressors in the last years. As a result, forest experts face new challenges. They have to identify stands that are at a high risk of being endangered. For each location, they need to find optimal forest development types, tree species and intraspecific varieties. Their measures must ensure that the biodiversity of forests and economic yields are maintained despite climate change.

The factors that influence the general vitality and productivity of forests (climate, weather, soil, geology, morphology, biodiversity, age mixing, etc.) are complex and interconnected. Forest experts consider these in the planning process. However, an in-depth analysis of these variables and their interconnectedness is still a big challenge.

A keystone of new approaches is, like in many other industries, a shift to data-driven decision support. Data on the aforementioned factors can form a basis for more effective and faster decision-making, but gathering useful data is not an easy task. The sheer size and complexity of environmental data related to forests ensures that. To compound matters, this data is held by different organizations, which usually have diverse use cases and use different schemas, formats and semantics. For example, one organization may represent the topographic data of a forest region in a shapefile, and another organization may represent the topographic data of a neighbouring region in the same forest as a GML file.

Forest experts thus depend on a wide range of data sets that are acquired from different sources. This interdisciplinary knowledge transfer is a challenge, but is also mission critical. High quality data acquisition and data integration are a precursor to the forest experts’ data driven decision-making and ultimately to the survival of our forests.

To help forest experts and owners to deal with these issues, wetransform has initiated the FutureForst project. FutureForst is a Phase I Artificial Intelligence Lighthouse project co-funded by the German Zukunft-Umwelt-Gesellschaft (ZUG) association. Through FutureForst, forest owners receive comprehensive decision support that has been adapted to their specific situation and goals. These recommendations are based on harmonized data such as the forest inventory, weather, pest development and air pollution.

In order to provide this decision support, we currently evaluate deep-learning methods and “Explainable AI” approaches such as Semantic Reasoning and Bayesian Belief Networks together with our partners, Minerva Intelligence GmbH and the Forstliche Versuchsanstalt Baden-Württemberg.

With the “Explainable AI” approach, the system can generate comprehensible results with accessible recommendations for action. Explainable AI methods enable users to see which variables of the input data lead to which outcome. These can be adjusted by experts and laypersons in any depth and checked for plausibility. On this basis, experts and laymen can then decide which forest development types and tree species can be established as “future forests” - forest ecosystems that can withstand climate change.

In a further step, different climate forecasts can then be taken into account and forest conversion scenarios can be simulated. In addition, a solution forum will be offered where users and partners can exchange information on their approach.

The data that is core to the approach is harmonised and published with wetransform’s tools, hale connect and hale studio. These tools have already been used by hundreds of organizations to consolidate heterogenous stacks into harmonized data that can be easily analysed. Afterwards, components of Minerva’s AI suite are used for the analysis and development of explainable recommendations based on the harmonized data.

When this project is finished, we aim to provide a FutureForst solution that offers:

  • Always up-to-date, homogeneous data basis
  • Complete picture of the environment including real-time stressors such as pest infestation
  • Highly local, explainable recommendations for action based on international data
  • Solution forum for users and partners We are currently executing open remote workshops on this project every two weeks.

These workshops provide opportunities to learn about what the concrete outcomes of the project are, and to contribute experiences and requirements. The workshops are themed as follows:

  • 15.04.2020: End user scenario development
  • 29.04.2020: Existing and missing data
  • 13.05.2020: AI Approaches and Algorithms

Reach out to us to stay updated on the project’s progress and let us know how your country is dealing with this challenge:


At wetransform, we fully support INSPIRE implementers since we think that key problems can be better solved through cross-border, accessible and useable, harmonised data. In February, we have started a new project that heavily builds on harmonised INSPIRE data to solve a critical issue: The massive ecological and economic impact of climate change on our forests.

Forests are subject to numerous stressors: extreme weather events such as heat, drought and heavy rainfall, pests such as bark beetles and air pollutants. Even tree species that were considered to be stable have suffered from these stressors in the last years. As a result, forest experts face new challenges. They have to identify stands that are at a high risk of being endangered. For each location, they need to find optimal forest development types, tree species and intraspecific varieties. Their measures must ensure that the biodiversity of forests and economic yields are maintained despite climate change.

The factors that influence the general vitality and productivity of forests (climate, weather, soil, geology, morphology, biodiversity, age mixing, etc.) are complex and interconnected. Forest experts consider these in the planning process. However, an in-depth analysis of these variables and their interconnectedness is still a big challenge.

A keystone of new approaches is, like in many other industries, a shift to data-driven decision support. Data on the aforementioned factors can form a basis for more effective and faster decision-making, but gathering useful data is not an easy task. The sheer size and complexity of environmental data related to forests ensures that. To compound matters, this data is held by different organizations, which usually have diverse use cases and use different schemas, formats and semantics. For example, one organization may represent the topographic data of a forest region in a shapefile, and another organization may represent the topographic data of a neighbouring region in the same forest as a GML file.

Forest experts thus depend on a wide range of data sets that are acquired from different sources. This interdisciplinary knowledge transfer is a challenge, but is also mission critical. High quality data acquisition and data integration are a precursor to the forest experts’ data driven decision-making and ultimately to the survival of our forests.

To help forest experts and owners to deal with these issues, wetransform has initiated the FutureForst project. FutureForst is a Phase I Artificial Intelligence Lighthouse project co-funded by the German Zukunft-Umwelt-Gesellschaft (ZUG) association. Through FutureForst, forest owners receive comprehensive decision support that has been adapted to their specific situation and goals. These recommendations are based on harmonized data such as the forest inventory, weather, pest development and air pollution.

In order to provide this decision support, we currently evaluate deep-learning methods and “Explainable AI” approaches such as Semantic Reasoning and Bayesian Belief Networks together with our partners, Minerva Intelligence GmbH and the Forstliche Versuchsanstalt Baden-Württemberg.

With the “Explainable AI” approach, the system can generate comprehensible results with accessible recommendations for action. Explainable AI methods enable users to see which variables of the input data lead to which outcome. These can be adjusted by experts and laypersons in any depth and checked for plausibility. On this basis, experts and laymen can then decide which forest development types and tree species can be established as “future forests” - forest ecosystems that can withstand climate change.

In a further step, different climate forecasts can then be taken into account and forest conversion scenarios can be simulated. In addition, a solution forum will be offered where users and partners can exchange information on their approach.

The data that is core to the approach is harmonised and published with wetransform’s tools, hale connect and hale studio. These tools have already been used by hundreds of organizations to consolidate heterogenous stacks into harmonized data that can be easily analysed. Afterwards, components of Minerva’s AI suite are used for the analysis and development of explainable recommendations based on the harmonized data.

When this project is finished, we aim to provide a FutureForst solution that offers:

  • Always up-to-date, homogeneous data basis
  • Complete picture of the environment including real-time stressors such as pest infestation
  • Highly local, explainable recommendations for action based on international data
  • Solution forum for users and partners We are currently executing open remote workshops on this project every two weeks.

These workshops provide opportunities to learn about what the concrete outcomes of the project are, and to contribute experiences and requirements. The workshops are themed as follows:

  • 15.04.2020: End user scenario development
  • 29.04.2020: Existing and missing data
  • 13.05.2020: AI Approaches and Algorithms

Reach out to us to stay updated on the project’s progress and let us know how your country is dealing with this challenge:


(more)

The stage will be set for the INSPIRE 2020 Conference in Dubrovnik.

INSPIRE is gaining momentum. The number of datasets that are being transformed is increasing. Simultaneously, the next deadlines approach fast. It is now critical that all processes be running smoothly, all results be of high quality and you can share your experiences with others. This year’s INSPIRE conference has been postponed and is expected to take place in September, right on time before the next INSPIRE deadline.

The wetransform team will be there to listen to you and to share ideas and solutions that provide real value both for data providers and for data users. We will address topics ranging from metadata profile management and dataset series publication to the risks of an INSPIRE implementation and how to make your INSPIRE data useful.

We will also showcase our solution, hale»connect, the user-friendly and automated data management tool that makes INSPIRE easy, efficient and affordable for everyone and has already helped over 200 organizations become INSPIRE compliant.

Stop by at our booth and experience the Zen of INSPIRE.

We will contribute to several presentations and workshops on diverse topics:

Session Title
Keynote Applications and Cross-cutting Issues
Workshop Organisation, Licensing, Technology: Build sustainable solutions on INSPIRE
Workshop Leveraging INSPIRE Data into Artificial Intelligence Applications
Workshop Geopackage, JSON-LD and GeoJSON: Alternative and Additional Encodings
Presentation A Key INSPIRE Use case: WFD eReporting Revisited
Workshop GO-PEG - Generation Of cross border PanEuropean Geospatial Datasets and Services
Presentation 5.000 data sets later: What INSPIRE in the cloud changes
Presentation Alternative Encodings, Alternative APIs, Alternative Models?
Presentation Profiling metadata for reuse in the INSPIRE Validator and GeoNetwork

We will keep you posted on further details and later changes as the program will be rescheduled.

The stage will be set for the INSPIRE 2020 Conference in Dubrovnik.

INSPIRE is gaining momentum. The number of datasets that are being transformed is increasing. Simultaneously, the next deadlines approach fast. It is now critical that all processes be running smoothly, all results be of high quality and you can share your experiences with others. This year’s INSPIRE conference has been postponed and is expected to take place in September, right on time before the next INSPIRE deadline.

The wetransform team will be there to listen to you and to share ideas and solutions that provide real value both for data providers and for data users. We will address topics ranging from metadata profile management and dataset series publication to the risks of an INSPIRE implementation and how to make your INSPIRE data useful.

We will also showcase our solution, hale»connect, the user-friendly and automated data management tool that makes INSPIRE easy, efficient and affordable for everyone and has already helped over 200 organizations become INSPIRE compliant.

Stop by at our booth and experience the Zen of INSPIRE.

We will contribute to several presentations and workshops on diverse topics:

Session Title
Keynote Applications and Cross-cutting Issues
Workshop Organisation, Licensing, Technology: Build sustainable solutions on INSPIRE
Workshop Leveraging INSPIRE Data into Artificial Intelligence Applications
Workshop Geopackage, JSON-LD and GeoJSON: Alternative and Additional Encodings
Presentation A Key INSPIRE Use case: WFD eReporting Revisited
Workshop GO-PEG - Generation Of cross border PanEuropean Geospatial Datasets and Services
Presentation 5.000 data sets later: What INSPIRE in the cloud changes
Presentation Alternative Encodings, Alternative APIs, Alternative Models?
Presentation Profiling metadata for reuse in the INSPIRE Validator and GeoNetwork

We will keep you posted on further details and later changes as the program will be rescheduled.

(more)

This year’s INSPIRE event is being held in Helsinki from the 22nd to the 24th of October, with the theme of harvesting the “Sea the of European Spatial Data”. Coders, project managers and data owners will come together to discuss the latest trends and to inspire new developments.

The Highlights

Data Challenges

The event will facilitate different data challenges that aim at solving real world problems by using open data and innovative technology. The topics for these will range from finding the best seaside vacation whilst ensuring sustainability, to making everyday commutes better by using weather, air quality and road data. Wetransform has also organized a data challenge along with AELER technologies that will focus on optimization of intermodal freight transportation. Whether you’re a student, developer or a project manager, each of these data challenges will provide you with valuable insights into the usage of open data. You can learn more about these challenges here.

Workshops

INSPIRE implementation consists of various stages such as metadata management, data transformation, publishing services and validation. Each of these stages can be tackled in a variety of ways. After these stages have been tackled, you still have to build applications on the INSPIRE standard.

To this end, the event will host workshops that will demonstrate some of the best practices for INSPIRE implementations such as using OGC API features and building applications on top of the INSPIRE standard.

Keynotes

The keynotes will be delivered by some of the most prominent personalities of the INSPIRE world. These are the ones that have been involved in the conceptualization, development, execution and the application of the INSPIRE standard. Bart De Lathouwer (President of the Open Geospatial Consortium), Hanna Niemi-Hugaerts (Director, IoT, Forum Virium) and our very own, Thorsten Reitz (Founder and CEO, wetransform GmbH) will be keynote speakers at the conference.

Their talks will discuss the past, current and future trends relevant to INSPIRE. One of the topics that will be discussed is the usage of simple alternative encodings to improve the usefulness of INSPIRE data.

As a sneak peek of what’s to come, you can check out this video on the GeoJSON Alternative Encoding, and how it acts as an alternative to the INSPIRE standard in order to provide high-quality data visualizations.

Implement INSPIRE with one day of work for just 500€/year

As usual, wetransform representatives will be present at the event and ready to offer advice on implementing the INSPIRE directive. If you’d like to set up a meeting with us to discuss a cost-effective and fast approach to implementing INSPIRE, or if you’d just like come say hi, click on the button below and send us an e-mail!

This year’s INSPIRE event is being held in Helsinki from the 22nd to the 24th of October, with the theme of harvesting the “Sea the of European Spatial Data”. Coders, project managers and data owners will come together to discuss the latest trends and to inspire new developments.

The Highlights

Data Challenges

The event will facilitate different data challenges that aim at solving real world problems by using open data and innovative technology. The topics for these will range from finding the best seaside vacation whilst ensuring sustainability, to making everyday commutes better by using weather, air quality and road data. Wetransform has also organized a data challenge along with AELER technologies that will focus on optimization of intermodal freight transportation. Whether you’re a student, developer or a project manager, each of these data challenges will provide you with valuable insights into the usage of open data. You can learn more about these challenges here.

Workshops

INSPIRE implementation consists of various stages such as metadata management, data transformation, publishing services and validation. Each of these stages can be tackled in a variety of ways. After these stages have been tackled, you still have to build applications on the INSPIRE standard.

To this end, the event will host workshops that will demonstrate some of the best practices for INSPIRE implementations such as using OGC API features and building applications on top of the INSPIRE standard.

Keynotes

The keynotes will be delivered by some of the most prominent personalities of the INSPIRE world. These are the ones that have been involved in the conceptualization, development, execution and the application of the INSPIRE standard. Bart De Lathouwer (President of the Open Geospatial Consortium), Hanna Niemi-Hugaerts (Director, IoT, Forum Virium) and our very own, Thorsten Reitz (Founder and CEO, wetransform GmbH) will be keynote speakers at the conference.

Their talks will discuss the past, current and future trends relevant to INSPIRE. One of the topics that will be discussed is the usage of simple alternative encodings to improve the usefulness of INSPIRE data.

As a sneak peek of what’s to come, you can check out this video on the GeoJSON Alternative Encoding, and how it acts as an alternative to the INSPIRE standard in order to provide high-quality data visualizations.

Implement INSPIRE with one day of work for just 500€/year

As usual, wetransform representatives will be present at the event and ready to offer advice on implementing the INSPIRE directive. If you’d like to set up a meeting with us to discuss a cost-effective and fast approach to implementing INSPIRE, or if you’d just like come say hi, click on the button below and send us an e-mail!

(more)