Data stewardship fundamentals

24,00 

Data is a vital resource for organizations, as it supports business decisions and propels modernization efforts.

 

Data reuse refers to using existing data to gain new insights or answer new questions, rather than collecting new data. This practice is becoming increasingly important in today’s data-driven world, where the amount of data is growing at an unprecedented rate. Data stewardship enables access to and re-use of data for public benefit in a systematic, sustainable, and responsible way.

 

This course aims to establish a solid knowledge base for data stewardship. It delves into the basics of data stewardship, including the skills of successful stewards, their functions, obligations, essential principles and practices. Additionally, the course covers a fundamental understanding of data governance framework, policies, procedures, and its importance in every organization. In this course, a team of experts will guide you through four segments. After finishing, you’ll be equipped to apply your newly acquired skills and expand your learning journey in data stewardship, responsible data re-use, and effectively managing data.

10 in stock

SKU: 14352 Category:

Start date

June 27, 2024

End date

June 28, 2024

Language(s) of the training

English

Languages spoken by the coach(es)

English

Instructor(s)

Dr. Pinar ALPER, Nene Djenaba BARRY, Dr. Rene Peter BREMM, Sébastien MARTIN , Dr. Nijat HAJIKHANOV

Contents

The course consists of the following four segments:

 

1. Introduction to data: general definitions related to data; data types; databases; characteristics; and general challenges.
2. Data governance, policy, procedures, and structure: the principles of data governance; data governance structure.
3. Data management and stewardship roles, skills, competencies: role of a data steward; the importance of data stewardship in today’s data-driven world; different types of data stewards; roles and responsibilities; competencies; skills; and knowledge.
4. Key components of data stewardship: FAIR (findable, accessible, interoperable, and reusable) data; data lifecycle; data management planning; data quality; security; regulations; integrity; and protection.

Objective

This course covers the fundamentals of effective data management and stewardship, starting from data definitions and challenges to data governance, key data stewardship skills, and best practices. Whether you are a beginner interested in data stewardship or a professional seeking to enhance your skills, this course has something for everyone.

 

Participants will be given PowerPoint slides for each segment, along with a variety of learning tasks. The course will be concluded with quizzes and hands-on practices.

Learning Outcomes

On completion of this course, participants will be able to:

• Learn the key definitions concerning data, metadata and FAIR data.
• Understand the challenges that organizations face regarding data management.
• Understand the principles of data governance and how data governance is structured in different type of organizations.
• Describe the role of a data steward and identify the key competencies and skills required for data stewards.
• Determine the key elements of data stewardship.

Schedule

This training has a total duration of 6 hours and takes place over 2 days:

  • 27-06-2024: 14:00 – 17:00
  • 28-06-2024: 09:30 – 12:30

Format and Location

This course takes place ON-SITE
Terres Rouges building
14, porte de France
L-4360 Esch/Alzette

Level

Beginner

Prerequisites

No prerequisites necessary

Additional Info

This course is offered in collaboration with the Luxembourg National Data Service (LNDS) and its Data Management and Stewardship service. 

 

Luxembourg National Data Service (LNDS) is an economic interest group created by the Luxembourg Government to implement Luxembourg’s strategies in research, innovation, and digitalisation. LNDS enables value creation from secondary use of data for public and private partners and supports the sharing and re-use of public sector data, in a trustable manner. The LNDS service portfolio includes know-how, capabilities, tools, infrastructure, and data services. The services are developed together with data partners, through concrete data projects. Through efficient & responsible use of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal transitions.
www.lnds.lu | LNDS on LinkedIn

Certification

This training does not have any assessment or exams; a certificate of participation will be issued to participants.

Esco Skills

manage data

Esco Occupations

data analyst, chief data officer, data quality specialist