Research Data Services (rds) For Librarians: Supporting Researchers In Data Management And Sharing Training Course

Introduction

Empower library professionals to play a crucial role in the research lifecycle with our comprehensive Research Data Services (RDS) for Librarians Training Course. This program equips you with the essential knowledge and skills to support researchers in effective data management and sharing practices. Mastering research data services is increasingly vital for libraries seeking to enhance research impact, promote open science, and provide valuable support to their academic communities. Our research data services training course offers in-depth guidance and actionable strategies for establishing and delivering impactful RDS.

This Research Data Services (RDS) for Librarians training delves into key areas such as the principles of research data management, data management planning, metadata standards, data repositories, data sharing and reuse, data preservation, and the ethical and legal considerations surrounding research data. You will gain expertise in providing consultations, developing training programs, and creating resources that enable researchers to effectively manage, share, and preserve their data. Whether you are an academic librarian, data services librarian, or research support librarian, this Research Data Services (RDS) for Librarians course will provide you with the tools and knowledge to effectively support researchers and advance open scholarship.

Target Audience:

• Academic Librarians
• Data Services Librarians
• Research Support Librarians
• Digital Librarians
• Scholarly Communication Librarians
• Subject Librarians
• Library Administrators

Course Objectives:

• Understand the principles of research data management (RDM).
• Assist researchers in developing data management plans (DMPs).
• Apply metadata standards for research data.
• Guide researchers in selecting appropriate data repositories.
• Promote data sharing and reuse among researchers.
• Address data preservation needs for research data.
• Navigate the ethical and legal considerations of research data.
• Provide data management training to researchers.
• Offer data consultation
• Develop data literacy
• Create data management resources and tools.
• Collaborate with research stakeholders.
• Evaluate the impact of RDS programs.

DURATION

10 Days

Course Content:

Module 1: Introduction to Research Data Management (RDM)

• Understanding the principles of research data management (RDM).
• Exploring the importance of RDM in the research lifecycle.
• Understanding funder and institutional RDM policies.
• Identifying the benefits of good data management practices.
• Best practices for advocating for RDM within the library.

Module 2: Data Management Planning (DMPs)

• Assisting researchers in developing data management plans (DMPs).
• Understanding the purpose and components of a DMP.
• Providing guidance on DMP tools and templates.
• Reviewing and evaluating DMPs.
• Best practices for supporting researchers in DMP creation.

Module 3: Metadata Standards for Research Data

• Applying metadata standards for research data.
• Understanding the role of metadata in data management.
• Exploring metadata schemas (e.g., Dublin Core, DDI, PREMIS).
• Helping researchers select appropriate metadata standards.
• Best practices for applying metadata to research data.

Module 4: Data Repositories

• Guiding researchers in selecting appropriate data repositories.
• Understanding different types of data repositories.
• Evaluating repository features and functionalities.
• Assisting researchers with data deposit procedures.
• Best practices for recommending data repositories.

Module 5: Data Sharing and Reuse

• Promoting data sharing and reuse among researchers.
• Understanding the benefits of data sharing.
• Educating researchers on data licensing and citation.
• Facilitating data discovery and access.
• Best practices for encouraging data sharing and reuse.

Module 6: Data Preservation

• Addressing data preservation needs for research data.
• Understanding the importance of long-term data preservation.
• Exploring preservation strategies and technologies.
• Assisting researchers with preservation planning.
• Best practices for ensuring the preservation of research data.

Module 7: Ethical and Legal Considerations

• Navigating the ethical and legal considerations of research data.
• Understanding data ownership, copyright, and licensing.
• Addressing data privacy, confidentiality, and security.
• Complying with relevant regulations and policies.
• Best practices for handling ethical and legal issues in research data.

Module 8: Data Management Training

• Providing data management training to researchers.
• Developing and delivering workshops and seminars.
• Creating online tutorials and guides.
• Tailoring training to specific disciplines.
• Best practices for designing and delivering effective data management training.

Module 9: Data Consultation Services

• Offering data consultation
• Providing one-on-one consultations to researchers.
• Answering data management inquiries.
• Assisting with data-related challenges.
• Best practices for providing effective data consultation services.

Module 10: Data Literacy Programs

• Developing data literacy
• Integrating data literacy into library instruction.
• Teaching data skills to students and faculty.
• Promoting data literacy across campus.
• Best practices for implementing data literacy programs.

Module 11: Creating Data Management Resources and Tools

• Creating data management resources and tools.
• Developing online guides and websites.
• Curating data management tools and software.
• Creating metadata templates and examples.
• Best practices for developing and disseminating data management resources.

Module 12: Collaboration with Research Stakeholders

• Collaborating with research stakeholders.
• Building partnerships with faculty and departments.
• Working with research offices and IT departments.
• Engaging with funding agencies and publishers.
• Best practices for collaborating on research data initiatives.

Module 13: Evaluating the Impact of RDS Programs

• Evaluating the impact of RDS programs.
• Assessing the effectiveness of RDS services.
• Collecting data on service usage and outcomes.
• Reporting on the value of RDS to stakeholders.
• Best practices for evaluating and improving RDS programs.

Module 14: Advanced RDM Topics

• Exploring advanced RDM topics.
• Understanding data curation and preservation.
• Working with big data and research data.
• Applying FAIR data principles.
• Best practices for staying current with RDM trends.

Module 15: Emerging Trends in RDS

• Exploring emerging trends in RDS.
• Understanding new technologies for data management.
• Supporting open science and open data initiatives.
• Addressing the changing landscape of research data.
• Best practices for adapting RDS to future needs.

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.