updates to ISO 19157 section

2024/Open-Standards-Code-Sprint/engineering-report/sections/00-preface.adoc

@@ -58,6 +58,10 @@ All questions regarding this document should be directed to the editors or the c
 |	Maxime Collombin | University of Applied Sciences, Western Switzerland (HEIG-VD)  | Contributor
 |	Sam Meek |  Helyx Secure Information Systems | Contributor
 |	Rui Cavaco | Norte Portugal Regional Coordination and Development Commission | Contributor
+|	Ivana Ivanova | Curtin University | Contributor
+|	TBA | TBA | Contributor
+|	TBA | TBA | Contributor
+|	TBA | TBA | Contributor
 |	TBA | TBA | Contributor
 |	TBA | TBA | Contributor
 |=== 

2024/Open-Standards-Code-Sprint/engineering-report/sections/architecture/iso19157_3.adoc

@@ -1,12 +1,9 @@
 ==== ISO 19157-3
 
-To facilitate dataset comparisons, evaluations and data quality reports (metadata or a quality evaluation report) have to be expressed in a comparable way, and it is necessary to have a common understanding of the data quality measures that have been used. An example of such common understanding of a standard quality measure is defined in ISO 19157-1:2023 Geographic information - Data quality - Part 1: General requirements. This standard defines the structure of a data quality measure as well as all additional attributes describing a data quality measure - see in .... [insert Figure from here: https://github.com/i2vana/ISO19157-3/blob/main/OGC-CodeSprint/img/ISO19157-1_dataQualityMeasure.PNG]
-
-// Please revise as per your cross-ref style
+To facilitate dataset comparisons, there is a need for evaluations and data quality reports (metadata or a quality evaluation report) to be expressed in a comparable way. Furthermore, it is necessary to have a common understanding of the data quality measures that have been used. An example of such common understanding of a standard quality measure is defined in ISO 19157-1:2023 Geographic information - Data quality - Part 1: General requirements (<<ISO19157-1>>). This standard defines the structure of a data quality measure as well as all additional attributes describing a data quality measure - see in <<img-dqm>>.
 
 [#img-dqm]
-// image caption should be this: Structure of a data quality measure as defined in ISO 19157-1:2023
-// the image to be insterted is here: https://github.com/i2vana/ISO19157-3/blob/main/OGC-CodeSprint/img/ISO19157-1_dataQualityMeasure.PNG
-
+.Structure of a data quality measure as defined in ISO 19157-1:2023
+image::images/ISO19157-1_dataQualityMeasure.png[]
 
-To comply with current best practice for sharing data over the web, these measures have to reside in a machine-actionable data quality measures register. Such register is currently under development at ISO/TC211 and OGC. ISO 19157-3 Geographic information - Data quality - Part 3: Data quality measures register will be the standard defining the components and content structure of a register for data quality measures, and the registration and maintenance procedure. All of this is compliance with ISO 19135 Geographic information - Registration and registration procedures, a governing standard for all ISO/TC211 registers. The measures will be hosted in the ISO 19157-3 register will be hosted at OGC, the Registration Authority of ISO 19157-3. Current version implemented at OGC RAINBOW contains first set of 80+ recognized standard data quality measures (e.g. such as the Root Mean Square Error used for evaluation positional accuracy, or the Misclassification Matrix used to evaluate the attribute accuracy) and these were used in first few tests as part of the Code Sprint. Full version of the ISO 19157-3 Data Quality measures register is expected to be published together with the ISO 19157-3 standard in early 2026.
+To comply with current best practice for sharing data over the web, these measures have to reside in a machine-actionable data quality measures register. Such a register is currently under development at ISO/TC211 and OGC. ISO 19157-3 Geographic information - Data quality - Part 3: Data quality measures register will be the standard defining the components and content structure of a register for data quality measures, and the registration and maintenance procedure (<<bib_iso19157_3>>). All of this is in compliance with ISO 19135 Geographic information - Registration and registration procedures, a governing standard for all ISO/TC211 registers (<<ISO19135-1>>). The measures will be published through the ISO 19157-3 register which will be hosted at OGC, the Registration Authority of ISO 19157-3. OGC will host the ISO 19157-3 register on OGC RAINBOW, a registry of terms and definitions. A current version of the register that is available through OGC RAINBOW contains an initial set of more than 80 recognized standard data quality measures (e.g. such as the Root Mean Square Error used for evaluation positional accuracy, or the Misclassification Matrix used to evaluate the attribute accuracy) and these were used in the first few tests as part of the Code Sprint. The full version of the ISO 19157-3 Data Quality measures register is expected to be published together with the ISO 19157-3 standard in early 2026.

2024/Open-Standards-Code-Sprint/engineering-report/sections/az-bibliography.adoc

@@ -4,16 +4,13 @@
 [bibliography]
 == Bibliography
 
+* [[[ISO19157-1,ISO 19157-1:2023]]]
+* [[[ISO19135-1,ISO 19135-1:2015]]]
 * [[[OGC17-069r4,OGC 17-069r4]]]
 * [[[OGC18-058r1,OGC 18-058r1]]]
 * [[[OGC19-086r6,OGC 19-086r6]]]
 * [[[OGC18-062r2,OGC 18-062r2]]]
 * [[[OGC20-057,OGC 20-057]]]
-* [[[OGC23-025,OGC 23-025]]]
 * [[[OGC18-088,OGC 18-088]]]
-* [[[OGC22-022r1,OGC 22-022r1]]]
-* [[[OGC21-006r2,OGC 21-006r2]]]
-* [[[OGC15-113r6,OGC 15-113r6]]]
-* [[[OGC08-085r8,OGC 08-085r8]]]
-* [[[OGC12-128r18,OGC 12-128r18]]]
 * [[[bib_ogcapicoverages,OGC 20-058]]], OGC API - Coverages - Part 1: Core (draft),  Open Geospatial Consortium. https://docs.ogc.org/DRAFTS/19-087.html
+* [[[bib_iso19157_3,ISO/AWI 19157-3]]], ISO/AWI 19157-3 Geographic information - Data quality - Part 3: Data quality measures register (Draft). https://www.iso.org/standard/87032.html