Research Data Management (rdm) Support For Researchers Training Course

Introduction

Empower your institution's researchers to maximize the impact and reproducibility of their work with our comprehensive Research Data Management (RDM) Support for Researchers Training Course. This program equips librarians, research support staff, and IT professionals with the essential knowledge and practical skills to provide effective guidance and services in all aspects of research data management. Mastering RDM support is increasingly vital for institutions seeking to comply with funder mandates, enhance research integrity, and foster a culture of open and FAIR (Findable, Accessible, Interoperable, Reusable) data practices. Our research data management training course offers in-depth strategies and actionable techniques for supporting researchers throughout the data lifecycle.

This Research Data Management (RDM) Support for Researchers training delves into key areas of RDM, including data management planning, data organization and documentation, metadata standards, data storage and security, data sharing and preservation, legal and ethical considerations, and training and outreach strategies. You will gain expertise in developing institutional RDM policies, creating support resources, delivering tailored training, and building collaborative partnerships with researchers. Whether you are a librarian, research administrator, IT specialist, or data steward, this Research Data Management (RDM) Support for Researchers course will empower you to become a crucial partner in the research process, enabling researchers to effectively manage their data for greater impact and longevity.

Target Audience:

• Librarians
• Research Support Staff
• IT Professionals Supporting Research
• Research Administrators
• Data Stewards
• Institutional Repository Managers
• Scholarly Communication Specialists

Course Objectives:

• Understand the fundamental principles and benefits of Research Data Management (RDM) for researchers.
• Master the key elements of creating effective Data Management Plans (DMPs).
• Develop strategies for organizing and documenting research data effectively.
• Apply appropriate metadata standards for enhancing data discoverability and reuse.
• Understand best practices for data storage, security, and backup.
• Navigate the principles and practices of data sharing and preservation.
• Address the legal, ethical, and policy considerations in research data management.

DURATION

5 Days

Course Content:

Module 1: Introduction to Research Data Management (RDM)

• Understanding the fundamental principles and benefits of Research Data Management (RDM) for researchers.
• Exploring the research data lifecycle and the importance of managing data at each stage.
• Identifying the drivers for good RDM practices (funder mandates, reproducibility, impact).
• Understanding the roles and responsibilities of researchers and support staff in RDM.
• Best practices for advocating for RDM within a research institution.

Module 2: Supporting Data Management Planning (DMPs)

• Mastering the key elements of creating effective Data Management Plans (DMPs).
• Understanding funder DMP requirements and institutional guidelines.
• Providing guidance and resources to researchers on DMP development.
• Reviewing and providing feedback on DMPs.
• Best practices for DMP support and tools.

Module 3: Data Organization and Documentation

• Developing strategies for organizing and documenting research data effectively.
• Implementing consistent file naming conventions and folder structures.
• Creating comprehensive README files and data dictionaries.
• Utilizing version control for data and code.
• Best practices for ensuring data clarity and understandability.

Module 4: Metadata Standards for Data Discoverability

• Applying appropriate metadata standards for enhancing data discoverability and reuse.
• Understanding key metadata schemas for research data (e.g., Dublin Core, DataCite).
• Guiding researchers in selecting and applying relevant metadata standards.
• Implementing metadata best practices for different data types.
• Best practices for metadata creation and management for research data.

Module 5: Data Storage, Security, and Backup

• Understanding best practices for data storage, security, and backup.
• Advising researchers on secure storage options and institutional resources.
• Implementing data backup and recovery procedures.
• Addressing data security and access control measures.
• Best practices for ensuring the integrity and safety of research data.

Module 6: Data Sharing and Preservation

• Navigating the principles and practices of data sharing and preservation.
• Understanding open data principles and licensing options.
• Guiding researchers on selecting appropriate data repositories.
• Implementing data preservation strategies for long-term access.
• Best practices for promoting data sharing and ensuring data longevity.

Module 7: Legal, Ethical, and Policy Considerations in RDM

• Addressing the legal, ethical, and policy considerations in research data management.
• Understanding copyright, intellectual property, and data ownership.
• Navigating data privacy, confidentiality, and research ethics.
• Developing institutional RDM policies and guidelines.
• Best practices for addressing legal and ethical issues in research data.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.