diff --git a/crates/qwen2-5-05b-instruct/ro-crate-metadata.json b/crates/qwen2-5-05b-instruct/ro-crate-metadata.json
index 5b7347d..9f934f2 100644
--- a/crates/qwen2-5-05b-instruct/ro-crate-metadata.json
+++ b/crates/qwen2-5-05b-instruct/ro-crate-metadata.json
@@ -1,13 +1,13 @@
 {
   "@context": [
-    "https://w3id.org/ro/crate/1.1/context"
+    "https://w3id.org/ro/crate/1.2/context"
   ],
   "@graph": [
     {
       "@type": "CreativeWork",
       "@id": "ro-crate-metadata.json",
       "conformsTo": {
-        "@id": "https://w3id.org/ro/crate/1.1"
+        "@id": "https://w3id.org/ro/crate/1.2"
       },
       "about": {
         "@id": "./"
@@ -21,12 +21,13 @@
         "SoftwareApplication"
       ],
       "datePublished": "2025-11-26",
-      "URL": "https://github.com/grycap/oscar-hub/tree/main/crates/qwen2-5-05b-instruct",
+      "url": "https://github.com/grycap/oscar-hub/tree/main/crates/qwen2-5-05b-instruct",
       "name": "OSCAR vLLM Qwen2-5-05b-Instruct",
       "description": "OSCAR service that deploys a vLLM-based Qwen model for efficient large language model inference.",
       "license": {
         "@id": "https://www.apache.org/licenses/LICENSE-2.0"
       },
+      "version": "0.1.0",
       "applicationCategory": "OSCAR-KServe Service",
       "memoryRequirements": "256 MiB",
       "processorRequirements": [
@@ -104,7 +105,9 @@
       "@id": "https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct",
       "@type": "SoftwareApplication",
       "name": "Qwen2.5-0.5B-Instruct",
-      "description": "Qwen 2.5 0.5B parameter model fine-tuned for instruction following."
+      "description": "Qwen 2.5 0.5B parameter model fine-tuned for instruction following.",
+      "url": "https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct",
+      "version": "latest"
     }
   ]
 }
diff --git a/crates/rabbitmq-broker/ro-crate-metadata.json b/crates/rabbitmq-broker/ro-crate-metadata.json
index 1383dbf..24af0f3 100644
--- a/crates/rabbitmq-broker/ro-crate-metadata.json
+++ b/crates/rabbitmq-broker/ro-crate-metadata.json
@@ -1,13 +1,13 @@
 {
   "@context": [
-    "https://w3id.org/ro/crate/1.1/context"
+    "https://w3id.org/ro/crate/1.2/context"
   ],
   "@graph": [
     {
       "@type": "CreativeWork",
       "@id": "ro-crate-metadata.json",
       "conformsTo": {
-        "@id": "https://w3id.org/ro/crate/1.1"
+        "@id": "https://w3id.org/ro/crate/1.2"
       },
       "about": {
         "@id": "./"
@@ -22,7 +22,7 @@
       ],
       "datePublished": "2026-05-26",
       "version": "0.1.0",
-      "URL": "https://github.com/grycap/oscar-hub/tree/main/crates/rabbitmq-broker",
+      "url": "https://github.com/grycap/oscar-hub/tree/main/crates/rabbitmq-broker",
       "name": "RabbitMQ Broker",
       "description": "This project implements a RabbitMQ broker that can be used for IoT applications.",
       "license": {
diff --git a/crates/rabbitmq-minio/ro-crate-metadata.json b/crates/rabbitmq-minio/ro-crate-metadata.json
index 9fd3b85..bfd7827 100644
--- a/crates/rabbitmq-minio/ro-crate-metadata.json
+++ b/crates/rabbitmq-minio/ro-crate-metadata.json
@@ -1,13 +1,13 @@
 {
   "@context": [
-    "https://w3id.org/ro/crate/1.1/context"
+    "https://w3id.org/ro/crate/1.2/context"
   ],
   "@graph": [
     {
       "@type": "CreativeWork",
       "@id": "ro-crate-metadata.json",
       "conformsTo": {
-        "@id": "https://w3id.org/ro/crate/1.1"
+        "@id": "https://w3id.org/ro/crate/1.2"
       },
       "about": {
         "@id": "./"
@@ -22,7 +22,7 @@
       ],
       "datePublished": "2026-05-15",
       "version": "0.1.0",
-      "URL": "https://github.com/grycap/oscar-hub/tree/main/crates/rabbitmq-minio",
+      "url": "https://github.com/grycap/oscar-hub/tree/main/crates/rabbitmq-minio",
       "name": "RabbitMQ to MinIO Bridge for OSCAR",
       "description": "This project implements a batch processing service designed to run within the OSCAR ecosystem. The architecture uses a custom RabbitMQ 4.3.0 image that acts as a multiprotocol messaging broker, allowing data ingestion from IoT devices (currently only via AMQP) and subsequent processing using Python scripts. The processed messages are sent as a text file to a MinIO bucket.",
       "license": {