02. EHDS Guide | Self-Assessment

Your guide to secure and sustainable health data

Do you want to share health-related data in a meaningful, legally compliant, and efficient way within the EHDS? This guide offers knowledge, practical methods, and templates to help you leverage the potential of the EHDS in the future, build expertise, and keep improving.

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Getting started: Where are you now? Assessing your current situation

Why take this step? Only when you understand your current position can you make targeted improvements and plan your next moves.

Here are 10 forms to do your self-assessment

Data Collection Process Maturity Assessment

To determine your current level of maturity in the „Data collection process“ dimension, please answer the following questions. Select the option that best fits your current situation. These questions will help you assess your current maturity level in the data collection process dimension. You can download the corresponding *.pdf document to record your answers and calculate your respective score, using the button below.

01. Data collection or capture for secondary purposes:

  • We have no processes for collecting or capturing data for secondary purposes.
  • We have ad-hoc processes for data collection.
  • We have defined processes for some data collections.
  • We have defined processes for all data collections, which are used for secondary purposes.
  • Our processes for data collection are automated, and we continuously work on process improvement.

02. Scope of defined processes:

  • We have no defined processes for data collection.
  • We have defined processes for some data collections.
  • We have defined processes for all data collections.

03. Use of collected data:

  • The collected data is not used for secondary purposes.
  • The collected data is partially used for secondary purposes.
  • The collected data is fully used for secondary purposes.

04. Automation of processes:

  • Our processes for data collection are not automated.
  • Some of our processes for data collection are automated.
  • All of our processes for data collection are automated.

05. Continuous improvement:

  • We have no measures for the continuous improvement of our data collection processes.
  • We have some measures for the continuous improvement of our data collection processes.
  • We have comprehensive measures for the continuous improvement of our data collection processes.
Download Data Collection Process Form

Data Management - Governance Maturity Assessment

To determine your current maturity level in the „Data management – governance“ dimension, please answer the following questions. Select the option that best fits your current situation. These questions will help you assess your current maturity level in the Data Management – Governance process dimension.

01. Documented data management governance:

  • There is no documented data management governance.
  • There is a documented data management plan covering collection, auditing, and management.
  • There is evidence that the data management plan has been implemented.
  • There is demonstrated compliance with the data management plan.
  • There is externally verified compliance with the data management plan.

02. Scope of the data management plan:

  • The data management plan covers only planning.
  • The data management plan covers collection, auditing, and management.
  • The data management plan covers more than just data management planning.

03. Implementation of the data management plan:

  • The data management plan has not been implemented.
  • The data management plan has been partially implemented.
  • The data management plan has been fully implemented.

04. Compliance with the data management plan:

  • There is no compliance with the data management plan.
  • There is demonstrated compliance with the data management plan.
  • There is externally verified compliance with the data management plan.
Download Governance Maturity Form

Data Management - Infrastructure Process Maturity Assessment

To determine your current maturity level in the „Data management – infrastructure“ dimension, please answer the following questions. Select the option that best fits your current situation.

01. Data management infrastructure:

  • There is no data management infrastructure.
  • There is an emerging data management infrastructure with some validation and verification measures.
  • The data management infrastructure is defined and confirmed as a standard process.
  • The data management infrastructure is partially automated, verified, and validated and enables real-time data management.
  • There is a robust and comprehensive data management infrastructure with fully automated, verified, and validated real-time data management.

02. Scope of validation and verification:

  • There are no validation and verification measures.
  • There are some validation and verification measures.
  • The validation and verification measures are comprehensive and confirmed.

03. Automation of the infrastructure:

  • The infrastructure is not automated.
  • The infrastructure is partially automated.
  • The infrastructure is fully automated.

04. Real-time data management:

  • There is no real-time data management.
  • There is partially real-time data management.
  • There is fully automated real-time data management.

05. Security of the infrastructure:

  • There are no measures for the security of the infrastructure.
  • There are some measures for the security of the infrastructure.
  • The measures for the security of the infrastructure are comprehensive and throughout.
Download Infrastructure Process Form

Data Provenance Maturity Assessment

To determine your current maturity level in the „Data provenance“ dimension, please answer the following questions. Select the option that best fits your current situation.

01. Documented provenance:

  • There is no documented provenance.
  • The source of the dataset is documented.
  • The source of the dataset and any transformations, rules, and exclusions are documented.
  • All original data items are listed, all transformations, rules, and exclusions are listed, and the impact of these is documented.
  • There is the ability to view earlier versions, including the raw or source dataset, and review the impact of each stage/step.

02. Comprehensiveness of documentation:

  • There is no documentation.
  • The source of the dataset is documented.
  • The source of the dataset and any transformations, rules, and exclusions are documented.
  • All original data items are listed, all transformations, rules, and exclusions are listed, and the impact of these is documented.

03. Transparency of the data pipeline:

  • The data pipeline is not transparent.
  • The data pipeline is partially transparent.
  • The data pipeline is fully transparent, including the ability to view earlier versions and review the impact of each stage/step.

04. Impact of transformations and exclusions:

  • The impact of transformations and exclusions is not documented.
  • The impact of transformations and exclusions is partially documented.
  • The impact of transformations and exclusions is fully documented.
Download Data Provenance Form

Data Access Maturity Assessment

To determine your current maturity level in the „Data access“ dimension, please answer the following questions. Select the option that best fits your current situation.

01. Data access processes and procedures:

  • There are no data access processes or procedures.
  • The processes and procedures exist but do not respond in a timely and consistent manner.
  • The processes and procedures exist and respond in a timely and consistent manner.
  • There is a data access system that covers both technical and policy areas, in accordance with agreed metrics.
  • There is a comprehensive data access system that covers technical, ethical, and policy areas compliant with EU policy.

02. Timeliness and consistency of responses:

  • Responses are not timely and consistent.
  • Responses are partially timely and consistent.
  • Responses are fully timely and consistent.

03. Comprehensiveness of the data access system:

  • The data access system does not cover technical and policy areas.
  • The data access system covers technical and policy areas.
  • The data access system covers technical, ethical, and policy areas.

04. Compliance with EU policy:

  • The data access system is not compliant with EU policy.
  • The data access system is partially compliant with EU policy.
  • The data access system is fully compliant with EU policy.
Download Data Access Form

Data Analytics Environment Maturity Assessment

To determine your current maturity level in the „Data analytics environment“ dimension, please answer the following questions. Select the option that best fits your current situation.

01. Data access processes and procedures:

  • There are no data access processes or procedures.
  • The processes and procedures exist but do not respond in a timely and consistent manner.
  • The processes and procedures exist and respond in a timely and consistent manner.
  • There is a data access system that covers both technical and policy areas, in accordance with agreed metrics.
  • There is a comprehensive data access system that covers technical, ethical, and policy areas compliant with EU policy.

02. Timeliness and consistency of responses:

  • Responses are not timely and consistent.
  • Responses are partially timely and consistent.
  • Responses are fully timely and consistent.

03. Comprehensiveness of the data access system:

  • The data access system does not cover technical and policy areas.
  • The data access system covers technical and policy areas.
  • The data access system covers technical, ethical, and policy areas.

04. Compliance with EU policy:

  • The data access system is not compliant with EU policy.
  • The data access system is partially compliant with EU policy.
  • The data access system is fully compliant with EU policy.
Download Data Analytics Form

Data Enhancement - Augmentation Maturity Assessment

To determine your current maturity level in the „Data enhancement – augmentation“ dimension, please answer the following questions. Select the option that best fits your current situation.

01. Data augmentation techniques:

  • No data augmentation techniques are applied.
  • Some techniques are applied to make data more usable for specific purposes.
  • Defined techniques are applied to make data more usable for specific purposes.
  • Managed techniques are applied to make data more usable for specific purposes.
  • Comprehensive application of various techniques and mapping to a data model (e.g., OMOP) is implemented.

02. Scope of data augmentation:

  • No data augmentation is performed.
  • Some data augmentation is performed for specific purposes.
  • Defined data augmentation is performed for specific purposes.
  • Managed data augmentation is performed for specific purposes.
  • Comprehensive data augmentation is performed and mapped to a data model.

03. Management of data augmentation techniques:

  • Data augmentation techniques are not managed.
  • Data augmentation techniques are partially managed.
  • Data augmentation techniques are fully managed.

04. Mapping to data models:

  • Data augmentation techniques are not mapped to any data model.
  • Data augmentation techniques are partially mapped to a data model.
  • Data augmentation techniques are fully mapped to a data model (e.g., OMOP, OpenEHR, HL7 FHIR, ISO/IEC 22989:2022).
Download Data Augmentation Form

Data Enhancement - Enrichment Maturity Assessment

To determine your current maturity level in the „Data enhancement – enrichment“ dimension, please answer the following questions. Select the option that best fits your current situation.

01. Derived fields or enriched data:

  • The data has no additional derived fields or enriched data.
  • The data includes additional derived fields or enriched data.
  • The data includes additional derived fields or enriched data used by other available data sources.
  • The derived fields or enriched data were generated from or used by a peer-reviewed algorithm.
  • The data includes derived fields or enriched data from an international report.

02. Scope of derived fields or enriched data:

  • No derived fields or enriched data.
  • Some derived fields or enriched data.
  • Derived fields or enriched data used by other data sources.
  • Derived fields or enriched data generated from or used by a peer-reviewed algorithm.
  • Derived fields or enriched data from an international report.

03. Use of derived fields or enriched data:

  • Derived fields or enriched data are not used.
  • Derived fields or enriched data are partially used.
  • Derived fields or enriched data are fully used.

04. Source of derived fields or enriched data:

  • No specific source.
  • Some specific source.
  • Peer-reviewed algorithm.
  • International report.
Download Data Enrichment Form

Data Model Maturity Assessment

To determine your current maturity level in the „Data Model“ dimension, please answer the following questions. Select the option that best fits your current situation.

01. Data model availability:

  • There is no data model.
  • There is a known and accepted data model, but some key fields are uncoded or free text.
  • Key fields are codified using a local standard and updated over time.
  • Key fields are codified using a national or international standard and updated.
  • The data model conforms to an international standard, and key fields are codified using a national or international standard.

02. Standardization of key fields:

  • Key fields are not standardized.
  • Some key fields are standardized using a local standard.
  • Key fields are standardized using a national or international standard.
  • Key fields are standardized and updated using a national or international standard.
  • Key fields are standardized and conform to an international standard.

03. Updates and maintenance:

  • No updates or maintenance of the data model.
  • Partial updates and maintenance of the data model.
  • Regular updates and maintenance of the data model using a local standard.
  • Regular updates and maintenance of the data model using a national or international standard.
  • Regular updates and maintenance of the data model conforming to an international standard.

04. Interoperability and standardization:

  • No interoperability or standardization.
  • Partial interoperability or standardization.
  • Full interoperability and standardization using a local standard.
  • Full interoperability and standardization using a national or international standard.
  • Full interoperability and standardization conforming to an international standard.
Download Data Model Form

Data Dictionary Maturity Assessment

To determine your current maturity level in the „Data Dictionary“ dimension, please answer the following questions. Select the option that best fits your current situation.

01. Data Dictionary availability:

  • No Data Dictionary.
  • Data definitions are available.
  • Definitions are compiled into a local data dictionary which is available online.
  • The dictionary relates to national definitions.
  • The dictionary is based on international standards and includes mapping.

02. Comprehensiveness of data definitions:

  • No data definitions.
  • Some data definitions available.
  • Comprehensive data definitions compiled into a local data dictionary.
  • Data definitions relate to national definitions.
  • Data definitions are based on international standards and include mapping.

03. Accessibility of the Data Dictionary:

  • The Data Dictionary is not accessible.
  • The Data Dictionary is partially accessible.
  • The Data Dictionary is fully accessible online.

04. Standardization of the Data Dictionary:

  • The Data Dictionary is not standardized.
  • The Data Dictionary is partially standardized.
  • The Data Dictionary is fully standardized and relates to national definitions.
  • The Data Dictionary is fully standardized and based on international standards, including mapping.
  • Interoperability and standardization conforming to an international standard.
Download Data Dictionary Form

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