- Welcome and introductory session - Monday, Jan. 11
Welcome and introductory session - Monday, Jan. 11
Tuesday January 12, 09:00-11:00 CET
Teachers: Antonio José Sáenz-Albanés & José María García-Rodríguez
In this session you will learn basic concepts about semantics and how it can enrich your data resources and increase its FAIRness, turning it into machine-actionable data that can be effectively discovered and accessed by interested parties. We will also consider additional aspects to foster the discoverability of data resources, such as security and relevant software tools.
- VREs, Data Analysis & Visualisation
VREs, Data Analysis & Visualisation
Wednesday January 13, 09:00-11:00 CET
Teachers: Ute Karstens, Claudio D'Onofrio, Karolina Pantazatou, Ida Storm
A short presentation is given on a fully integrated web application at ICOS Carbon Portal, on the example of the atmospheric transport model STILT. We will run through a full life cycle for an 'on demand' model run and results visualisation. Further on we will show case how to use the results to create a new data product. A hands-on workshop follows to create a simple timeseries plot comparing STILT results with observational data and creating an interactive map for the station location.
P.S. Preferred browsers for exploring data: Firefox, Chrome
- 1st unsupervised session - Friday, Jan. 15
1st unsupervised session - Friday, Jan. 15
- Resource access tools
Resource access tools
Monday January 18, 09:00-11:00 CET
Teachers: Nicola Fiore & Lucia Vaira
A short presentation will be given on the LifeWatch ERIC Metadata Catalogue in order to show how resources (datasets, services, workflows, etc.) can be published on a catalogue. In particular, we will go through the entire process behind the resource publication and we will show how to create/publish/access new resources. A breakout room will follow the lecture to let students creating their own resources.
- Cloud computing for developing and operating data management services
Cloud computing for developing and operating data management services
Tuesday January 19, 09:00-11:00 CET
Teacher: Zhiming Zhao
We will discuss how to develop and operate data management services in cloud environments. By using examples from the ENVRIplus and ENVRI-FAIR projects, we will demonstrate the basic steps to run a legacy application in cloud, to develop native cloud applications, to automate the application deployment, and to auto-scale a runtime application. Students will practice on the cloud infrastructures offered by providers such as EOSC or LifeWatch.
Students are recommended to read the ENVRI book, chapter 2, 5 and 11
- 2nd unsupervised session - Thursday, Jan. 21
2nd unsupervised session - Thursday, Jan. 21
- Participants' presentations and closing session - Friday, Jan. 22
Participants' presentations and closing session - Friday, Jan. 22
The final report and the corresponding ppt presentation have to be sent within Thursday January 21st by email to email@example.com.
- Your Feedback on the ENVRI Community International Winter School DATA FAIRness
Your Feedback on the ENVRI Community International Winter School DATA FAIRness
We would like to ask you to give us some feedback, your responses will help us improve the quality and relevance of our future events. The questionnaire is anonymous, and no personal data is recorded about the participants.
Thank you in advance for your time,
The ENVRI-FAIR WP6 core team