Research and Data Analysis

Metadata Standards for Research Data Interoperability Training Course

Introduction

In today’s data-driven world, metadata has become the cornerstone of research data management, accessibility, and integration. As scientific collaboration and open data sharing continue to expand, the need for standardized metadata has grown exponentially. This course on Metadata Standards for Research Data Interoperability Training Course equips researchers, data stewards, librarians, and technologists with the tools, techniques, and knowledge needed to create and manage interoperable research data systems. Participants will gain a comprehensive understanding of metadata schemas, ontologies, FAIR data principles (Findable, Accessible, Interoperable, and Reusable), and implementation strategies that facilitate seamless data exchange and integration across disciplines and platforms.

This training addresses key challenges in metadata harmonization and showcases international standards such as Dublin Core, DataCite, ISO 19115, and schema.org. Participants will engage with real-world case studies and hands-on exercises to design metadata workflows that support research data lifecycle management, data curation, and digital preservation. Whether you are building data repositories, working in open science initiatives, or supporting interdisciplinary research, mastering metadata interoperability is essential for ensuring long-term usability, discoverability, and impact of your data assets.

Programme Curriculum

Metadata Standards for Research Data Interoperability Training Course

Introduction

In today’s data-driven world, metadata has become the cornerstone of research data management, accessibility, and integration. As scientific collaboration and open data sharing continue to expand, the need for standardized metadata has grown exponentially. Metadata Standards for Research Data Interoperability Training Course equips researchers, data stewards, librarians, and technologists with the tools, techniques, and knowledge needed to create and manage interoperable research data systems. Participants will gain a comprehensive understanding of metadata schemas, ontologies, FAIR data principles (Findable, Accessible, Interoperable, and Reusable), and implementation strategies that facilitate seamless data exchange and integration across disciplines and platforms.

Course Objectives

By the end of this course, participants will be able to:

Understand the role of metadata in enhancing data discoverability and reusability.
Apply FAIR principles in designing metadata frameworks for open research data.
Identify and implement key international metadata standards (e.g., Dublin Core, ISO 19115, DataCite).
Evaluate metadata schemas and their suitability for different disciplinary contexts.
Develop workflows for metadata generation, validation, and transformation.
Utilize semantic technologies and ontologies to improve data interoperability.
Design interdisciplinary metadata frameworks that support cross-platform integration.
Leverage controlled vocabularies and taxonomies for enhanced data annotation.
Integrate linked data and RDF (Resource Description Framework) into metadata practices.
Assess data quality and metadata completeness using standardized evaluation tools.
Implement tools for automated metadata extraction and mapping.
Apply metadata governance principles in institutional and project-level settings.
Collaborate in designing metadata-rich data management plans (DMPs).

Target Audiences

This course is designed for:

Research data managers and stewards
University and institutional librarians
IT professionals and data architects
Open science practitioners
Policy makers in research data governance
Academic researchers across disciplines
Digital repository developers
Data governance and compliance officers

Course Duration: 5 days

Course Modules

Module 1: Introduction to Metadata and Interoperability

Definition and functions of metadata
Types of metadata (descriptive, administrative, structural, etc.)
Interoperability challenges in research data
Introduction to FAIR data principles
Metadata lifecycle in data management
Case Study: Metadata challenges in global climate research networks

Module 2: Overview of International Metadata Standards

Dublin Core and metadata simplicity
DataCite for scholarly datasets
ISO 19115 for geospatial metadata
schema.org for web-based data discovery
Standard selection criteria for research domains
Case Study: Implementing ISO 19115 in a national geographic database

Module 3: Designing Metadata Frameworks

Principles of good metadata design
Customizing metadata elements
Aligning metadata with research objectives
Creating metadata profiles and crosswalks
Validating and transforming metadata
Case Study: Metadata framework for a multidisciplinary health data repository

Module 4: Metadata and Semantic Technologies

Introduction to ontologies and taxonomies
RDF and Linked Data in metadata
SPARQL and querying semantic metadata
Mapping metadata to ontologies
Linked Open Data (LOD) and its benefits
Case Study: Using semantic technologies for agricultural research data

Module 5: Tools and Platforms for Metadata Management

Metadata editing tools (e.g., OpenRefine, Metavist, CEDAR)
Automated metadata extraction
Metadata validation and consistency checkers
Open-source metadata repositories
Integration with digital object identifiers (DOIs)
Case Study: Building a metadata-rich data portal using CKAN

Module 6: Metadata for Data Repositories and Publishing

Metadata in digital repositories and archives
Data citation and persistent identifiers
Licensing and access rights metadata
Enhancing discoverability in search engines
Metadata for data journals and publishing platforms
Case Study: Enhancing research visibility with rich metadata in Figshare

Module 7: Metadata Quality, Evaluation, and Governance

Measuring metadata quality (accuracy, completeness, consistency)
Metadata assessment tools and metrics
Common metadata errors and how to avoid them
Metadata policy and standard operating procedures
Governance frameworks for metadata lifecycle
Case Study: Institutional metadata governance at a major research university

Module 8: Developing Metadata-Rich Data Management Plans

DMPs and their metadata components
Funders’ metadata requirements (e.g., NSF, Horizon Europe)
Metadata planning in collaborative projects
Aligning metadata with institutional policies
Monitoring and updating metadata in DMPs
Case Study: DMP design in an EU-funded cross-border health research project

Training Methodology

Interactive presentations and expert-led lectures
Hands-on workshops using real metadata tools
Group discussions and metadata mapping exercises
Analysis of case studies from global research initiatives
Participant-driven project design with peer feedback
Post-course assignments and mentorship for implementation

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Metadata standards interoperability data sharing

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000