Find here the minutes of the open session.
As a reminder, open sessions are really open. Every Monday 14:00 CEST. You just need to connect to this link https://bit.ly/smartdatamodels and if you want to present something edit this presentation and include your slides.
The open session is a 30.minutes meeting with 3 objectives:
1.- Show last developments. OPEN-SESSION-SMART-DATA-MODELS
2.- Answer questions regarding existing or coming data models
3.- Presenting to the community
There were comments about new data models to be contributed in the water sector and how to run a quick contribution.
There is a new subject into Cross Sector domain for mapping the DCAT-AP 2.0.1 standard into smart data models.
This is the standard for catalogs and other elements to be shared from open data portals.
See the specification of this standard.
The first data model is the CatalogueDCAT-AP which has been released.
This is just an advance of the session on the next 9th of June, 18:00 CET in the middle of FIWARE Fest.
FIWARE Fest is a three-day online event of world-class innovation, collaboration, and networking. See its agenda.
The smart data models session will include a keynote session and a panel of discussion about practical uses of the Smart Data Models.
You can register for this event here.
In the cross Sector domain there is a new subject dataModel.DistributedLedgerTech for compiling those data models related to these technologies, including blockchain, ethereum, etc.
A new subject has been created in the CrossSector domain.
dataModel.RiskManagement compiles data models for generic risk management.
Candidate data models are being developed in the incubated repository .
Soon it will be populated with these data models: Asset, CyberAnalysis, Exposure, GISData, Hazard, Measure, Mitigation, NetworkServiceAlert, Risk, Vulnerability.
Find here the presentation of the open session
To join these sessions connect to https://bit.ly/smartdatamodels (direct link to the online session)
To include your topic as a slot in the session, edit these slides https://bit.ly/open_session
- New and updated data models
- New regulations to be adopted
- Risk management data models
- Validation of examples
The README.md of every data model provides the links to the different translations of the specification. These sentences are now in their original languages.
Additionally, these links now take to the specification in GitHub and stop prompting to be downloaded.
Other information available in the README include:
- Links to the automatic creation of examples in NGSI-LD format
- Links to the actual examples of the use of this data model in 4 differnt formats
This format update will be completed today for all data models.
If you can think of other improvements please let us know.
DTLtxReceipt is the first data model of the subject Distributed Ledger technologies for
DLTtxReceipt. Description of a DLT receipt storing some of the attributes (keys) of a transaction.
Coming from the EU project Cattle chain.
Many of the contributors of the data models are providing changes into the spec.md and its translations.
Fortunately, this is not necessary. You just need to provide the changes in the descriptions included in the schema.json file of each data model.
Now in order to save time for the contributors, a warning message has been included in the specs.
The link takes you to the contribution manual section where the specification is described.
Every week till there will be a 30 min live session to :
- Make questions about any of the data models
- Sharing experiences (maximum 5 minutes)
The agenda for the first 5-minutes slots is this. The 3
- Introduction of the Smart Data Models
Updates of the week (new services and new/updated data models). Survey.
Regulations / standards to be mapped to smart data models
Direct link http://bit.ly/open_session to the session minutes. You can book your 5 minutes slot there
First call here.
Open Session. Smart Data Models
Monday, May 17 · 14:00 – 14:30
Google Meet joining info
Video call link: https://meet.google.com/mds-qdbx-amx
Or dial: (ES) +34 872 55 91 43 PIN: 709 176 120#
More phone numbers: https://tel.meet/mds-qdbx-amx?pin=3039847950766