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#QuestionComments
1.1What would be a minimum level of harmonization/standardization?
  • Does this question refer only to legal provisions (in the IRs) or also the technical provisions (in the TGs and Good Practice documents)?
  • Does this question refer only to the provisions on data interoperability or also on the technical provisions on network services and metadata?
  • For data interoperability, there will always be the need for some processing (ETL) steps before being able to use data from different sources in an application or integrate it in a (pan-European/cross-border) data set. The main question here is how this necessary transformation is performed – by requiring all providers to transform their data to a common (exchange) model (the current obligation) upfront, from which a user/application developer can then transform the data to their application needs, or whether to put more burden for the transformation from the source format (data “as-is”) on the user/application developer.
  • It should be considered that even with the current approach, harmonised INSPIRE data can usually not be used in an application/integrated in a dataset “off-the-shelf” (i.e. with minimum extra effort), but that there is still considerable effort involved at the application developer side, as illustrated e.g. by the work of ESTAT on building pan-EU data sets.
  • For any transformation to a target application/data set, the user/application developer will need as a minimum a clear documentation of the structure and semantics of the data that is provided (ideally also in English and/or some machine-readable format).
  • Also, the use of well-established vocabularies for category-based attributes and common approaches for the encoding of identifiers and coordinate information is crucial.
  • BGR: The current GML format poses challenges in processing  therefore, alternative formats like Geopackage, which are more common and interoperable, could be more suitable for data exchange.

Responses (Brandenburg):

  • Simplification of INSPIRE data structures: Creation and central provision of mandatory core data models in simplified data structures to ensure user-friendliness and applicability. The core data models should based on the existing complex INSPIRE data models. The complex data models remain in place.
  • Scalability: Differentiation between local, regional, national, and international needs in the creation of core data models. It has to be ensured that the data structures are uniformly designed across the different (administrative) levels to enable data aggregation across levels.
  • Specification: A clear position from the EU on whether national datasets are required for a given data theme.
  • Mandatory implementation: All responsible data-holding entities are obliged to provide INSPIRE geodata in a uniform data structure and, if necessary, retroactively align existing data with the standardized structures to ensure comprehensive data coverage for each country.
  • Multilingualism: Mandatory implementation of multilingualism in the creation of data schemas and data content (e.g. code lists) (for example, English is mandatory, while the national language is non-obligatory).
  • Validation: Provision of test classes and validators to verify the accuracy of data schemas and data content (e.g., code lists).
  • International standards: Binding requirements and mandatory implementation of international standards (e.g., OGC, ISO, W3C). The following requirements have to be considered:
    • Provision of metadata (ISO, DCAT-AP, etc.)
    • Machine-readable formats (GML, GeoJSON)
    • Open licenses (definitive list; CC-0, CC-BY, Data License Germany, etc.)
    • Provision through standardized interfaces (OGC API, WFS, WCS, Sensor Things API, etc.)
    • Bulk download
  • Resources and access: Provision of the necessary resources to the national point of contact to collect and centrally publish uniform geodata. Additionally, the EU should formulate requirements for the national points of contact to determine the appropriate resource needs.
  • Sanctions: Sanctioning in case of non-compliance with the binding requirements.

 Optional:

  • Best practice implementations / Example implementations before publication / resolution, as a guide for the affected entities.
1.2What would be the consequence of abandoning the one-size-fits-all approach to harmonization of data?
  • What exactly is meant by “abandoning the one-size-fits-all approach to harmonization of data”? Do you mean the obligation to transform all data sets under the scope of INSPIRE to the defined common data models upfront? What would this obligation be replaced with? For example, simplification of obligations or a reduction of the burden on data providers could also mean a common approach/common requirements for all data sets, but with fewer ex-ante obligations or focusing obligations on documentation of “as-is” data rather than transformation.
  • Removing the obligation to harmonise all data upfront could potentially also remove the duplicate implementations in some (most?) MS, where “as is” data are used in national applications and use cases,  that is done only to meet the INSPIRE requirements, i.e. the same “as-is” data that is available in the national SDI would also be made available under INSPIRE.
  • BGR: Abandoning the principle of one size fit all would contradict the principle of interoperability and harmonisation of spatial data across political boundaries.

Responses (Brandenburg):
If this approach were abandoned, it would

  • be impossible to achieve interoperability of data content and integrate data from various sources.
  • make a cross-border/cross-jurisdictional evaluation and analysis of geodata impossible, preventing answers to international questions.
  • fail to fulfill the objectives of INSPIRE.

 Notes/Follow-up questions:

  • It would be helpful to know which questions arise from the EU that have to be answered by using the distributed data.
  • If the goal is to unlock economic potential, it would also be interesting to know the specific requirements for data content.
  • It should be explored which other approaches to data harmonization are necessary and what is needed therefore. The use of IoT, ontologies in combination with ML, LLM, and AI could potentially be a target.
1.3What issues do you see related to interoperability when simplifying the technical provisions?
  • The fewer technical provisions for upfront harmonisation exist, the more labour-intensive will be the transformation to a target application/data set. Therefore, if requirements for upfront harmonisation were to be reduced/abolished, sufficient documentation of data structures and semantics (e.g. including a mapping to well-established vocabularies) would be crucial.

Responses (Brandenburg):

  • BGR: It may result in interoperability challenges if INSPIRE does not mandate mapping these vocabularies to accepted standards as part of the data-sharing process

Responses (Brandenburg):

  • Significant regionalSignificant regional/national differences in the required data content could be expected.
  • In the process of standardization, relevant data content might get lost. Therefore, local, regional, national, and international differentiation have to be considered when creating core data models (see above).
  • Monetary and personnel efforts might complicate the implementation of simplified INSPIRE data structures in member states.
1.4What would this mean in terms of cost reductions for data providers?
  • Dropping the obligation to harmonise all data sets within the scope of the INSPIRE Directive upfront would mean considerable cost reductions for data providers, especially if duplicate implementations could be avoided through this.
  • Of course, additional costs for implementing alternative measures (e.g. an obligation for thorough documentation) would need to be considered when calculating cost reductions. 

Responses (Brandenburg):

  • Implementing simplified INSPIRE data structures and mandatory requirements could initially incur costs.
  • However, cost reductions could be expected after implementation, as the aggregation of cross-border, simplified, and harmonized INSPIRE data will require less time. Time-intensive preparation of INSPIRE data could be eliminated.
1.5Would MIMs (Minimal Interoperability Mechanisms) be the solutions as used in Open and Agile Smart Cities and Communities (OASC)?
  • Some OASC MIMs (e.g. MIM-2, MIM-7) could be good sources for inspiration for alternative obligations, but they seem to still be at an early stage in their development, so should not be taken up 1:1.

Responses (Brandenburg):

  • The INSPIRE Directive should adopt the approach of MIMs (Minimal Interoperability Mechanisms) and continue this by using international standards. Simplifying and converting the previously complex INSPIRE data structures into flat data structures is recommended in this context.
  • We support the introduction of MIMs because they focus on data relevant and specific subject-oriented questions.
  • It is questionable whether all institutions responsible for this data are involved in the process and whether they are aware of the specific MIMs.

Notes/Follow-up questions:

  • Will the MIMs be adopted as mandatory?
  • MIMs have to be designed by considering future developments and requirements.
1.6How do you assess the impact of the alignment with HVD, OPD, Green Data Space?
  • The question is not really clear. What is meant by OPD? The impact of what precisely?
  • Generally, the overall future vision for the provision, sharing and use of geospatial and environmental data should be defined first. Then it should be discussed how this vision can be achieved and which (parts of which) existing legislation should be changed how and which aspects can be covered through soft measures (e.g. the Green Deal dataspace). 
  • GBR: Harmonizing the requirements of HDV, OPD, and Green Data space would be logical, as differing standards could lead to increased effort and complexity

Responses (Brandenburg):

  • The initiative of the HVD Directive is supported as it directly affects all entities holding (geo)data and requests for the technical provision of relevant data via standardized web services.
  • However, there are concerns that the technical implementation for the labeling of HVD metadata will be realized differently within the EU member states. In addition, differences in license information are expected. The provision via difficult to handle standards (e.g. Atom) is also viewed critically in this context.
  • Therefore, specific technical guidance and requirements for the interoperable implementation of these initiatives within the member states of the EU would be recommended.
  • Furthermore, a clear regulation of responsibilities would be welcomed stating that the national contact points for the INSPIRE Directive are also responsible for coordinating HVD initiatives concerning geospatial data, as there are significant overlaps between the two legislative initiatives.

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#QuestionComments
3.1Who should be responsible and how to organise?
  • non-open data should be discoverable through SDIs (based on standardised metadata) and usable in protected environments like data spaces

Responses (Brandenburg):

  • GBR: Data intermediaries could potentially take responsibility for managing data spaces.

Responses (Brandenburg):

  • In very few cases, INSPIRE data involves critical infrastructure data. The OpenData concept should be the main focus. If security mechanisms are nonetheless required, “data spaces” are currently being discussed as part of a solution. If this is a viable path, user-friendly and practical applications should be technically implemented by central institutions in the member states (in Germany, federal authorities).
  • The relevant information (licenses, costs, terms of use, etc.) should be recorded within the metadata of data and services.
  • International standards and the points already mentioned (see above) have to be considered. It should be examined whether the standards of W3C and WSS (OGC) for access authentication are sufficient for protection needs and whether Shibboleth technology could potentially be used (access protection).
  • The additional installation of software tools for accessing sensitive or chargeable geoservices via connectors (data spaces) and data trustees is watched critically, since it is another obstacle for data access.
3.2What are the key issues?
  • data providers have already implemented mechanisms to protect their data, a common framework will be difficult to establish (e. g. Germany has failed to introduce federated access control in the past)
  • BMEL: The differences in the IT security requirements of the various data providers make it quite difficult to adopt a harmonised approach.

Responses (Brandenburg):

  • Restrictive access to INSPIRE data creates a barrier to its use.
  • Protected access generates costs and administrative efforts to control access.
  • A restrictive data access policy endangers the development of an interoperable and cross-border geodata infrastructure, as national and individual approaches may take precedence.
  • Anonymizing data reduces its quality and usefulness.
  • Different requirements for access, data protection, etc., could cause difficulties in the interoperable implementation of a Europe-wide geodata infrastructure.

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#QuestionComments
4.1

What will be the needs for capacity building for green and digital skills to capture evolving data needs in the field of the environment on the side of the:

  • Data providers (share data as-is)
  • Data Intermediaries* (harmonization, additional processing, product development)
  • Users (data product requirements)

* A data intermediary under the DGA is an entity that facilitates the sharing of data between various parties while ensuring neutrality, transparency, and compliance with strict regulatory requirements to protect the interests of both data subjects (individuals) and data holders (providers, intermediaries).

  • Is it planned to include capacity building in the scope of the revised INSPIRE Directive? If so, in which form – setting obligations on Member States, setting up a  funding programme for capacity building, developing common skills frameworks/certificates?
  • In general, all roles need to have an understanding of metadata, APIs, licences, shared vocabularies, data models, identifiers, versioning/archiving, data harmonisation/ETL, but from slightly different perspectives – why is the distinction between the roles relevant (at this stage)?

Responses (Brandenburg):

BMEL:

  • The complex ongoing harmonisation process requires a time-consuming and extensive transformation. Provision via ‘as-is’ datasets without transformation into the INSPIRE data model would facilitate implementation.
  • The maintenance of the established geodata infrastructure is not a priority for all data-holding organisations, especially research institutions, as their work is primarily focused on research and the management of research data, as well as consulting services. While it is possible to centralise metadata, only the organisation owning the geodata is able to maintain and publish web services. Therefore, it would be beneficial to simplify the maintenance of the geodata infrastructure for geodata-holding organisations.

Responses (Brandenburg):

  • Data providers:
    • Technical capacities and capabilities to meet the
  • Data providers:
    • Technical capacities and capabilities to meet the requirements for data, data schemas, code lists, metadata, web services, international standards, licenses, validation, etc.
    • Consideration of local, regional, national, and international data models (data harmonization).
    • Development of open and reusable software solutions if necessary.
  • Data intermediaries:
    • The necessity of data intermediaries seem questionable and could hinder an interoperable geodata infrastructure, as efforts would be expected on multiple levels, complicating data use/access.
    • An explanation of the additional value of data intermediaries would be required.
  • Data users:
    • Searching for and integrating data/services, understanding metadata, code lists, etc.
    • For user-oriented approaches, comprehensive national datasets (e.g., compiled by federal institutions) should be aggregated. The availability and quality (validation) of comprehensive data, services, and metadata have to be ensured.
4.2What are the costs/efforts that will be transferred?
  • It is unclear what is meant by "cost/effort transfer" here.

Responses (Brandenburg):

  • Questions arise regarding the services, costs, and efforts involved.
  • From the perspective of the GDI-DE contact point in the state of Brandenburg, this question is difficult to answer, as it is unclear why the current structure should be changed.

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#QuestionComments
5.1Would you prefer one common data sharing regime under horizontal legislation?
  • Generally, the overall future vision for the provision, sharing and use of (geospatial and environmental) data should be defined first. Then it should be discussed how this vision can be achieved and which (parts of which) existing legislation should be changed how. In the second step, it would of course be welcome if obligations are streamlined and relationship between legal acts were clear and consistent.
  • GBR: The question is unclear. The term "horizontal legislation" seems ambiguous 

Responses (Brandenburg):

  • Horizontal legal regulations could benefit companies and public institutions, as they would no longer have to deal with different laws.
  • If the question is interpreted correctly, a uniform horizontal legal framework within the EU, in the context of INSPIRE, seems unlikely, as EU member states have different administrative levels and hierarchies. Implementing a horizontal legal framework appears difficult.
  • Regarding the implementation of the INSPIRE Directive in Germany, transferring the directive into state law is a challenge for interoperability. The federal states have interpreted and implemented EU law differently in the past. Hence, the INSPIRE implementation process is (slightly) different within Germany.
  • An EU-wide legal obligation for all data-holding entities could be a solution (similar to the Delegated Regulation on High-Value Datasets).

Notes:

  • It is a challenge to keep track of, interpret, and support the implementation of current EU legislative developments. The community has to monitor and assess ever-changing requirements. The first question that usually arises is: “Do I have to act?” Even answering this question is not always straightforward. If possible, it would be desirable to move from general legislation to specifics, where all requirements are considered (INSPIRE, Priority Datasets, Data Spaces, MIMs, HVD, Interoperable Europe Act, SEMIC, etc.).
5.2What would be the possible future role of the INSPIRE Directive? Is it still needed? For what?
  • For the past 15 years, INSPIRE has been the main driver of sharing spatial & environmental data in Europe. Any future EU legislation on spatial & environmental data sharing should ensure that all spatial/environmental data in Europe is made accessible in such a flexible way that it fulfils the requirements of data-using environments and applications such as data spaces, digital twins, etc. in terms of interfaces, formats, etc.
  • The INSPIRE Directive Annexes as they stand are an open-ended obligation to harmonize almost everything upfront and offer this to everybody, while there is no easy way to see EU-wide use-cases like maps or so based on the data provided by all Member States that prove the added value of INSPIRE beyond the good idea of sharing data. The now existing High Value Datasets may serve as the focus of EU activity in the future while for all other datasets a reasonable documentation on Member State level would be sufficent (see comments above).

Responses (Brandenburg):

  • INSPIRE has achieved a lot and will continue to be needed to promote and develop interoperability of (geo)data within the European Union. The INSPIRE Directive has created a technical geodata infrastructure and facilitates exchange between EU member states.
  • In the future, a common perspective and identical technical and practical implementation for all Annex themes have be achieved to close gaps within spatial data.
  • To prioritize user-friendliness and demand orientation, simplified and flat data structures that enable easy access to data content have to be promoted and defined as mandatory.
  • New technologies such as AI, real-time data, and digital twins require infrastructure adjustments and should be considered when updating the INSPIRE Directive.

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