Training Provenance Tracing in ENVRI Research Infrastructures

This catalogue respects all FAIR guidelines and best practices. It is based on the IEEE Standard for Learning Object Metadata (IEEE 2002) that has been customised in order to be compliant with the EOSC Training Resource Profile - Data Model.

Description

Using the very relevant outcomes of the ENVRIplus project as written down in Deliverable D8.5 (Data provenance and tracing for environmental sciences: system design), we have put together a series of events all focussing on this topic:

An introductory webinar addressing the basic theoretical background:

- What is provenance

- Why is it important

- What does provenance relate to

- How is provenance recorded

- Recording methods

- Provenance and FAIRness;

Three technical demonstrators of provenance tracing:

The PROV Template approach – Doron Goldfarb

The ENVRI-FAIR demonstrator focusing on provenance, and modeling a specific data production/processing workflow used at NILU – Markus Stocker

The EPOS Approach using the main catalogue – Keith Jeffery, Daniele Bailo;

A workshop-type session in collaboration with WP7 to discuss cases, issues, problems and questions collected from the community, working towards practical support and -possibly- solutions.

During the technical demonstrator sessions, we aim to collect input for the final workshop, like concrete cases, questions, requests for help on specific issues from the ENV RI’s.

1 - General
1.1 - Identifier
49
1.2 - URL type
URL
1.3 - URL
https://training.envri.eu/course/view.php?id=47
1.4 - Title
Training Provenance Tracing in ENVRI Research Infrastructures
1.5 - Language
en
1.6 - Description
("en_US","From an inventory among the various subdomain work packages in ENVRI-FAIR, WP6 concluded that Provenance Tracing was high on the priority list of training requirements for RI’s. Using the very relevant outcomes of the ENVRIplus project as written down in Deliverable D8.5 (Data provenance and tracing for environmental sciences: system design), we have put together a series of events all focussing on this topic: An introductory webinar addressing the basic theoretical background: What is provenance Why is it important What does provenance relate to How is provenance recorded Recording methods Provenance and FAIRness; Three technical demonstrators of provenance tracing: The PROV Template approach – Doron Goldfarb The ENVRI-FAIR demonstrator focusing on provenance, and modeling a specific data production/processing workflow used at NILU – Markus Stocker The EPOS Approach using the main catalogue – Keith Jeffery, Daniele Bailo; A workshop-type session in collaboration with WP7 to discuss cases, issues, problems and questions collected from the community, working towards practical support and -possibly- solutions. During the technical demonstrator sessions, we aim to collect input for the final workshop, like concrete cases, questions, requests for help on specific issues from the ENV RI’s.")
1.7 - Keywords
Provenance Tracing, ENVRI
learningpath02
1.8 - Geographical availability
("en_US","2020")
2 - Life Cycle
2.1 - Version
("en_US","Not available")
2.2 - Status
Final
2.3 - Contribute
2.3.1 - Role
Author
2.3.2 - Entity
ENVRI-FAIR
2.4 - Date
2020
3 - Educational
3.1 - Interactivity type
Mixed
3.2 - Learning resource type
Webinar
3.3 - Interactivity level
Medium
3.4 - Semantic density
Medium
3.5 - Target group
Learner
3.6 - Context
Training
3.7 - Expertise level
Medium
3.8 - Typical learning time
Knowledge-dependent
3.9 - Learning outcome(s)
3.10 - Access rights
ENVRI-FAIR project Work Package 6 Core Team
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","ENVRI-FAIR project Work Package 6 Core Team")
4 - Technical
4.1 - Size
Not Available
4.2 - Scientific domain and subdomain
4.3 - Topic codes
R13: Provenance tracing
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource

Details

Code49
Uploaded byMaria Teresa Manca
Available since24/05/21 11:08

Comments (0 Ratings)