Data Management in Environmental and Earth Science 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

International Summer School, Lecce, Italy, July 2018

1 - General

1.1 - Identifier

1.2 - URL type

URL

1.3 - URL

https://training.envri.eu/course/view.php?id=68

1.4 - Title

Data Management in Environmental & Earth Science Infrastructures

1.5 - Language

1.6 - Description

("en_US","In recent years, one of the major challenges in the Environmental and Earth Science has been managing and searching larger volumes of complex data, collected across multiple disciplines. Many different standards, technologies and common practices have been developed to support each phase of the Data Lifecycle (Data Acquisition, Data Curation, Data Publishing, Data Processing and Data (Re)Use. The course will focus on the creation and reuse of FAIR data and services in the Environmental and Earth sciences. It is built as a five-day summer school where leading scientists will address various topics from different perspectives.")

1.7 - Keywords

data management
environmental science
earth science
infrastructure
theory and practice

1.8 - Geographical availability

("en_US","2019")

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 and LifeWatch ERIC

2.4 - Date

2019-07-01

3 - Educational

3.1 - Interactivity type

Active

3.2 - Learning resource type

Lecture

3.3 - Interactivity level

Very low

3.4 - Semantic density

Low

3.5 - Target group

Learner

3.6 - Context

Training

3.7 - Expertise level

Knowledge-dependent

3.8 - Typical learning time

Knowledge-dependent

3.9 - Learning outcome(s)

3.10 - Access rights

3.11 - Cost

3.12 - Copyright and other restrictions

Yes

3.13 - Conditions of use

4 - Technical

4.1 - Size

Not available

4.2 - Scientific domain and subdomain

4.3 - Topic codes

G5: Basic Research Data Management (RDM)
R3: Cataloguing - design & implementation
R5: Cloud computing (Virtual Machines & containers) for data processing
R9: Linked Data and ontologies
R10: Metadata standards & schemas (including geospatial, instruments, variables)
R11: PID allocation & use (including citation support, bibliometry, provenance)
R13: Provenance tracing

5 - Relation

5.1 - Kind

5.2 - Entry

Access the resource

Details

Code	9
Uploaded by	Lucia Vaira
Available since	23/01/20 17:39