Data Curation And Management For Librarians Training Course

Introduction

Empower librarians to become essential partners in the research lifecycle with our comprehensive Data Curation and Management for Librarians Training Course. This program equips library professionals with the knowledge and skills to effectively handle research data, apply metadata standards, and implement robust data preservation strategies, ensuring that valuable research outputs areFindable, Accessible, Interoperable, and Reusable (FAIR). Mastering data curation and management is increasingly vital for libraries seeking to support open science, enhance research impact, and provide crucial services in the evolving research landscape. Our research data management training course offers in-depth guidance and actionable strategies for librarians to excel in this domain.

This Data Curation and Management for Librarians training delves into key areas such as the principles of research data management, understanding data lifecycles, applying metadata standards (e.g., Dublin Core, DDI, PREMIS), developing data management plans, implementing data preservation strategies, creating data repositories, providing data services to researchers, understanding legal and ethical considerations, and promoting data literacy. You will gain expertise in working with diverse research data formats, applying appropriate metadata schemas, ensuring long-term data preservation, and supporting researchers throughout the data lifecycle. Whether you are an academic librarian, data services librarian, or any librarian looking to expand your skillset, this Data Curation and Management for Librarians course will prepare you to meet the growing demands of research data management.

Target Audience:

• Academic Librarians
• Data Services Librarians
• Research Support Librarians
• Digital Librarians
• Subject Librarians
• Archivists
• Library Managers

Course Objectives:

• Understand the principles of research data management.
• Learn about the research data lifecycle and librarian roles.
• Apply metadata standards for research data description.
• Develop effective data management plans (DMPs).
• Implement strategies for data preservation.
• Learn to establish and manage data repositories.
• Provide effective data services to researchers.
• Understand legal and ethical considerations in data management.
• Promote data literacy among researchers.
• Understand data discovery and access mechanisms.
• Explore data citation and its importance.
• Learn about data quality
• Understand data security best practices.

DURATION

10 Days

Course Content:

Module 1: Introduction to Research Data Management

• Understanding the principles of research data management.
• Exploring the importance of data curation in the research lifecycle.
• Understanding the FAIR data principles (Findable, Accessible, Interoperable, Reusable).
• Identifying the benefits of good data management practices.
• Understanding the role of librarians in research data management.

Module 2: The Research Data Lifecycle

• Learning about the research data lifecycle and librarian roles.
• Understanding the stages of data creation, collection, processing, analysis, and preservation.
• Identifying librarian interventions at each stage of the data lifecycle.
• Understanding data management planning within the research process.
• Best practices for supporting researchers throughout the data lifecycle.

Module 3: Metadata Standards for Research Data

• Applying metadata standards for research data description.
• Understanding the purpose and importance of metadata.
• Exploring metadata standards (e.g., Dublin Core, DDI, PREMIS, EML).
• Creating descriptive, structural, and administrative metadata.
• Best practices for applying metadata standards to research data.

Module 4: Developing Data Management Plans (DMPs)

• Developing effective data management plans (DMPs).
• Understanding the purpose and components of a DMP.
• Assisting researchers in creating DMPs.
• Evaluating and reviewing DMPs.
• Best practices for DMP creation and implementation.

Module 5: Data Preservation Strategies

• Implementing strategies for data preservation.
• Understanding the challenges of digital data preservation.
• Exploring preservation strategies (e.g., fixity, migration, emulation).
• Understanding preservation metadata.
• Best practices for ensuring long-term data preservation.

Module 6: Establishing Data Repositories

• Learning to establish and manage data repositories.
• Understanding different types of data repositories.
• Selecting appropriate repository platforms.
• Developing repository policies and workflows.
• Best practices for creating and managing data repositories.

Module 7: Providing Data Services to Researchers

• Providing effective data services to researchers.
• Offering data management consultations and training.
• Assisting researchers with data deposit and access.
• Supporting data citation and reuse.
• Best practices for delivering data services.

Module 8: Legal and Ethical Considerations

• Understanding legal and ethical considerations in data management.
• Addressing copyright, licensing, and intellectual property issues.
• Ensuring data privacy and confidentiality.
• Understanding data sharing policies and agreements.
• Best practices for handling legal and ethical issues.

Module 9: Promoting Data Literacy

• Promoting data literacy among researchers.
• Developing data literacy programs and workshops.
• Educating researchers on data management best practices.
• Advocating for the importance of data curation.
• Best practices for promoting data literacy.

Module 10: Data Discovery and Access

• Understanding data discovery and access mechanisms.
• Implementing metadata schemas for searchability.
• Utilizing data catalogs and repositories.
• Applying controlled vocabularies and ontologies.
• Best practices for making data findable and accessible.

Module 11: Data Citation

• Exploring data citation and its importance.
• Understanding data citation standards.
• Promoting proper data citation practices.
• Enabling data citation in library systems.
• Best practices for data citation.

Module 12: Data Quality Assurance

• Learning about data quality
• Implementing data validation techniques.
• Ensuring data accuracy and completeness.
• Applying data cleaning procedures.
• Best practices for maintaining data quality.

Module 13: Data Security

• Understanding data security best practices.
• Implementing data access controls.
• Ensuring secure data storage.
• Protecting sensitive research data.
• Best practices for data security.

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.