Now the list of specifications has a new language, Chinese. they are called spec_ZH.md
See the example with the WaterConsumption data model.
Category: SmartHealth
New data model Account at the HL7 subject (health)
There is a new subject Hl7 mapping this standard. Hl7 is one of the main standards related to health, it defines more than 140 data models for the management of health information.
The next data model is the Account data model. In order to make it compatible with NGSI-LD some minor adjustments were necessary: 1) A limit in the recursive definition of data models has been applied (only 4 levels). 2) Change the ‘const’ clause in json schema by an enum of one value to make it compatible with YAML (open API 3.0). 3) the type attribute has been renamed to hl7type because otherwise conflicts with NGSI. Regarding the recursive definition of attributes, we expect that it would be more than enough for most of the practical applications. There are another 139 data models in the queue and we hope that soon they will be available.
See it in subject Hl7 in the Smart Health domain.
- Account. A financial tool for tracking value accrued for a particular purpose. In the healthcare field, used to track charges for a patient, cost centers, etc.
New data model Patient for the new subject HL7 at Smart Health domain
There is a new subject Hl7 mapping this standard. Hl7 is one of the main standards related to health, it defines more than 140 data models for the management of health information.
The first data model is the Patient data model. In order to make it compatible with NGSI-LD some minor adjustments were necessary: 1) A limit in the recursive definition of data models has been applied (only 4 levels). 2) Change the ‘const’ clause in json schema by an enum of one value to make it compatible with YAML (open API 3.0). Regarding the recursive definition of attributes, we expect that it would be more than enough for most of the practical applications. There are another 140 data models in the queue and we hope that soon they will be available.
See it in the at subject Hl7 in the Smart Health domain.
- Patient. Demographics and other administrative information about an individual or animal receiving care or other health-related services.
Year of contribution at the CONTRIBUTORS.yaml
All the CONTRIBUTORS.yaml files across all subjects have been extended with a new attribute year. This year means the year of the contribution.
It will help us to give recognition to the contributors.
By default, it has been set to 2022 (it was much work to find out when the last contribution was submitted for each one of the several contributors across the 60 subjects).
It has been also changed in the template of the CONTRIBUTORS file in the templates folder.
Contributors: Updated the service for checking your schema
In order to create a new data model or to update an existing one, Check your schema before contributing it, to check the schema on the front page.
The service has been updated to check not only the attributes of the payload but also the schema metadata (schema version, license, derivedFrom, title, description) so it will be easier to complete it before submission.
The code is available at the directory utils in the data-model repository.
Presentations of the Smart Data Models session at FIWARE summit
Here you can have the presentation of the people presenting at the Smart Data Models session of the FIWARE summit.
| 1.- | Fernando Lopez (FIWARE Foundation) | SDMX towards context information: achieving interoperability |
| 2.- | David Garcia (NTT Data) | Public resources monitoring and management through innovative solutions based on extension of smart data models |
| 3.- | Mannix manglani (Mannixonline) | TOURISM DATA MODELS |
| 4.- | Alberto Abella (FIWARE Foundation) | Water data models |
| 5.- | Antonino Sirchia (Engineering) | How FIWARE and Smart Data Models can make a City resilient on Flooding Risks |
| 6.- | Romain Magnani (EGM) | The NGSI-LD data lab: an engaging interface for building NGSI-LD data configuration |
| 7.- | Clara Pezuela (ATOS) | GreenMov: Green and smart mobility services |
| 8.- | Andrea Cruciani.(FIWARE SmartAgriFood MSC ) | Agrigateway |
| 9.- | Hugo Miguel Serra (Deloitte) | Smart Buildings data models |
Training on Smart Data models
Tomorrow at day 0 of the FIWARE summit there will be a training session about Smart Data Models.
Slides are freely shared here
This training will be delivered face to face.
- Intro:
- Board and what is Smart Data Models Program
- Current Status
- Contributos and dissemintions
- Agile standardization
- Current standardization status
- M.A.S.: Manifesto for agile standardizationç
- Standardization in a digital market
- Data model contents
- Contents of a data model
- Schema: review
- Additional documents: examples, contributors, adopters, notes*
- Generated documents: model.yaml, examples, README, context
- Data Model creation
- Incubated repository.
- From csv, json or open data portals
- Tests
- Data Model moderation
- Data model moderation
- Future
- pysmartdatamodels
- New services. Integration
- New data models. Mapping of standardizations
- Other services for the contributors
MAS: Manifesto for Agile Standardization
The Manifesto for Agile Standardization (MAS) describes the 7 principles that we apply to the Smart Data Models program.
0. Don't just standardize, be agile and standardize 1. Do not reinvent the wheel 2. Normalize real cases 3. Be open 4. Don't be overly specific 5. Flat not Deep 6. Sustainability is key
If you want to read the agile standardization manifesto’s complete explanation a one-page document is located at the root of our data models repository.
Announcements widget. Just thanks
Not all changes in the data models are reported with a blog post, Twitter dissemination o LinkedIn post. But if you notice there is a widget in the right part of the front page (scroll down till Announcements) where these tiny changes are reported (see the image or browse the front page).
Most of them are issues, suggestions or PR solved thanks to the collaboration of the community. They make the data models better for all.
We cannot say thanks individually to all of them but please feel our gratitude.
You can download all of the tiny annoncements from this simple text file.
Just thanks
Connecting Open Data Soft open data with Smart Data Models for drafting new data models
Many of the datasets published in open data portals are extensively used elsewhere. Well-maintained portals have managers that document the data structure and provide definitions of the types and contents of every field in these datasets. These are some of the requirements for the successful publication of a new Smart Data Model.
With this simple python script (and others to come) at the utils folder it can be drafted a JSON schema compliant with the Smart Data Models Program contribution manual. It is an early version (not everything is updated) but you can check it out.
 Parameters:
– base url of the ODS portal
– dataset_id of the dataset
Returns:
A draft json schema compliant with Smart Data Models Program,
some limitations: it does not translate descriptions (required in English)
some data types
It prints the schema and also returns (if possible a file named schema.json)
test it with this command
SDM_OpenDataSoft_schema_converter.py https://data.ameli.fr/ effectifs
