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--- wiki:1_fair-building-blocks:start [2025/12/15 14:35] – created - external edit 127.0.0.1
+++ wiki:1_fair-building-blocks:start [2026/01/21 12:12] (current) – esoeding
@@ Line 3: / Line 3: @@
 ==== Definition ====
-It is recommended that coordinated efforts across the Helmholtz Association be undertaken to achieve the goals, as defined in the HMC vision and mission. This is done by the **Road-toFAIR-Strategy**, which calls for the implementation of a common set of **FAIR building blocks**. These building blocks are operational measures required to support the findability, accessibility, interoperability, and reusability of research data. They include:
+The [[..:0_vision-and-mission:start|Mission and vision]] of the HMC Hub Earth and Environment is realized by the **Road-to-FAIR-Strategy**. To do so, we suggest implementing a common set of **FAIR building blocks**. These building blocks are operational measures required to support the findability, accessibility, interoperability, and reusability of research data. They include:
-  * Common and agreed procedures to refer to shared entities and metadata values, particularly through the use of **metadata of persistent identifiers** (PID), to reduce redundancy and improve consistency in referencing key entities such as people, organizations, instruments, and datasets (**K**) //(AP: suggestion for key)//.
+  * Common and agreed procedures to refer to shared entities and metadata values, particularly through the use of **persistent identifiers** (PIDs), to reduce redundancy and improve consistency in referencing key entities such as people, organizations, instruments, and datasets.
-  * Harmonized use of **semantic resources**, including controlled vocabularies and mapping tables, to standardize metadata element names and their meanings, reduce ambiguity, and ensure consistent interpretation across disciplines and systems (**S**). //[I would still recommend to merge semantics with mandatory and optional metadata elements, because these are closely related. Mingeling woth semantics only makes sense with very important information, which should be defined beforehand and applied accordingly.]//
+  * Harmonized use of **semantic resources** to standardize metadata element names and their meanings, reduce ambiguity, and ensure consistent interpretation across disciplines and systems.
-  * Agreements on **mandatory and optional metadata elements**, covering both domain-independent and domain-specific needs, to support accurate description, discovery, exchange, and reuse of data across infrastructures, user communities, and tools (**M**?). //[I don't think this is possible. If the PIDs are managed well, these are the mandatory information. Everything else is domain specific, can not be mandatory, and but must be dealt on a disciplinary case by case basis.]//
+  * Common **metadata schema** such as DataCite, DCAT, or ISO 19115/19119, to ensure consistent structuring and exchange of metadata across systems, including associated interfaces and exchange formats.
-  * Common metadata or **exchange formats**, such as DataCite, DCAT, or ISO 19115, to ensure consistent structuring and exchange of metadata across systems (**E**) //[I still recommend to merge fromats witrh interfaces as the topic interface. This should indeed cover formats and protocols, that we need agreements about]//
+  * Common data **exchange containers** such as FAIR Digital Objects or DataCrates, to enable machine-actionable reuse and portability.
-  * Common data **exchange containers**, such as FAIR Digital Objects or DataCrates, to enable machine-actionable reuse and portability (**C**).
-  * Common **interfaces**, to provide standardized, open mechanisms for data and metadata access and harvesting (**I**).
-//[In general I dont want more than four building blocks, because otherwise it will be too many to easily remember. The blocks need to be very easy to grasp, so people have trhenm in their mind all the time. That's actually one of the strenghts of FAIR.]//
+**Other important topics** where harmonization procedures are important are: /*Vorschlag: FAIR building blocks zu Key topics umbenennen (?) und die unteren Themen als eigene Seite mit eigenem Titel (z.B. other importants topics oder was besseres mit Einführung (basierend auf Text unten) aufziehen. Die entsprechenden Unterseiten als Aufklappfunktion:*/
+  * Inclusion of **provenance information**, capturing data origin, transformation steps, and responsible agents, to enable assessment of data reliability and reproducibility.
-**Other important topics** where harmonization procedures are important are:
+  * Clear **license information**, using standardized, machine-readable licenses, to define conditions of use and promote legal clarity.
-  * Inclusion of **provenance information**, capturing data origin, transformation steps, and responsible agents, to enable assessment of data reliability and reproducibility (**P**).
+  * Documented procedures for assessing and communicating **data quality**, including uncertainty, validation, completeness, and versioning, to ensure data are fit for purpose.
-  * Clear **license information**, using standardized, machine-readable licenses, to define conditions of use and promote legal clarity (**L**).
+  * **Valuating research data management** (RDM) engagement, through citation of datasets with DOIs, inclusion of author contributions, and formal acknowledgment of data curation efforts.
-  * Documented procedures for assessing and communicating **data quality**, including uncertainty, validation, completeness, and versioning, to ensure data are fit for purpose (**Q**).
+  /* Um weitere Themen erweitern, wie "AI", "Wo Daten veröffentlichen", "Visualisierung des Kontents von Metadaten - z.B. als Autor auch den Autoren zeigen" */
-  * Clear definition of **stakeholder roles** and responsibilities, including who is accountable for metadata provision, data stewardship, infrastructure maintenance, and policy implementation (**R**).
-  * **Valuating research data management** (RDM) engagement, through citation of datasets with DOIs, inclusion of author contributions, and formal acknowledgment of data curation efforts (**V**).
 These elements form the structural foundation for the detailed recommendations presented in this wiki.
 A key precondition for the implementation of these recommendations is the availability of skilled personnel, such as data stewards, data curators, and developers, who support data management and the technical and semantic infrastructure required to implement FAIR.
+==== Suggested Disciplinary Metadata Fields: ====
+Instrument used for the measurement
+  * method of the measurement
+  * measured attribute
+  * measured parameter
+  * measured unit
+  * measured Object / Medium
+  * sampleID
+  * region where the sample was obtained