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--- wiki:1_fair-building-blocks:start [2026/01/15 11:07] – dkottmeier
+++ wiki:1_fair-building-blocks:start [2026/01/21 12:12] (current) – esoeding
@@ Line 10: / Line 10: @@
   * Common data **exchange containers** such as FAIR Digital Objects or DataCrates, to enable machine-actionable reuse and portability.
-**Other important topics** where harmonization procedures are important are:
+**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 (**P**).
+  * Inclusion of **provenance information**, capturing data origin, transformation steps, and responsible agents, to enable assessment of data reliability and reproducibility.
-  * Clear **license information**, using standardized, machine-readable licenses, to define conditions of use and promote legal clarity (**L**).
+  * Clear **license information**, using standardized, machine-readable licenses, to define conditions of use and promote legal clarity.
-  * Documented procedures for assessing and communicating **data quality**, including uncertainty, validation, completeness, and versioning, to ensure data are fit for purpose (**Q**).
+  * Documented procedures for assessing and communicating **data quality**, including uncertainty, validation, completeness, and versioning, to ensure data are fit for purpose.
-  * 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.
-  * **Valuating research data management** (RDM) engagement, through citation of datasets with DOIs, inclusion of author contributions, and formal acknowledgment of data curation efforts (**V**).
+  /* Um weitere Themen erweitern, wie "AI", "Wo Daten veröffentlichen", "Visualisierung des Kontents von Metadaten - z.B. als Autor auch den Autoren zeigen" */
 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