Data Curation And Management For Libraries Training Course

Introduction

Empower your library to thrive in the digital age with our comprehensive Data Curation and Management for Libraries Training Course. This program equips library professionals with the essential knowledge and practical skills to effectively curate, manage, preserve, and provide access to diverse research data sets. Mastering data curation and management is increasingly vital for libraries seeking to support researchers, enhance scholarly communication, and position themselves as key partners in the research lifecycle. Our library data management training course offers in-depth strategies and best practices for navigating the evolving landscape of research data.

This Data Curation and Management for Libraries training delves into the core principles and practices of data curation, covering topics such as data lifecycle management, metadata standards, data preservation strategies, data sharing and access, legal and ethical considerations, data literacy support, and building data services. You will gain expertise in developing data management plans, implementing data repositories, and providing guidance to researchers on data best practices. Whether you are a librarian, archivist, information specialist, or research support staff, this Data Curation and Management for Libraries course will empower you to establish and lead effective data services within your institution.

Target Audience:

• Librarians
• Archivists
• Information Specialists
• Research Data Managers
• Digital Scholarship Librarians
• Data Services Librarians
• Research Support Staff

Course Objectives:

• Understand the fundamental principles of Data Curation and Management for Libraries.
• Master the data lifecycle and its application in library settings.
• Apply metadata standards and best practices for research data.
• Develop strategies for the long-term preservation of research data.
• Implement effective data sharing and access mechanisms.
• Navigate the legal, ethical, and policy issues related to research data.
• Provide data literacy support and training to researchers.
• Develop and manage institutional data repositories.
• Create comprehensive data management plans.
• Understand the role of libraries in the research data landscape.
• Explore tools and technologies for data curation and management.
• Foster collaboration with researchers and other stakeholders on data initiatives.
• Promote the value and impact of research data through effective curation.

DURATION

10 Days

Module 1: Introduction to Data Curation and Management

• Fundamentals of Data Curation and Management for Libraries.
• Understanding the evolving role of libraries in research data management.
• Exploring the data deluge and the need for curation.
• Identifying different types of research data and their characteristics.
• Best practices for establishing data curation services in libraries.

Module 2: The Research Data Lifecycle

• Mastering the data lifecycle and its application in library settings.
• Understanding each stage: creation, processing, analysis, preservation, access, reuse.
• Identifying library roles and interventions at each stage.
• Developing strategies for supporting researchers across the data lifecycle.
• Best practices for managing data throughout its lifecycle.

Module 3: Metadata Standards for Research Data

• Applying metadata standards and best practices for research data.
• Understanding key metadata schemas (e.g., Dublin Core, DataCite).
• Creating rich and interoperable metadata records.
• Implementing controlled vocabularies and ontologies.
• Best practices for metadata creation and management for research data.

Module 4: Data Preservation Strategies

• Developing strategies for the long-term preservation of research data.
• Understanding digital preservation principles and best practices.
• Exploring preservation formats and storage solutions.
• Implementing data integrity checks and fixity measures.
• Best practices for ensuring the longevity and accessibility of research data.

Module 5: Data Sharing and Access

• Implementing effective data sharing and access mechanisms.
• Understanding open data principles and licensing.
• Developing data access policies and procedures.
• Utilizing data repositories and platforms for sharing.
• Best practices for promoting data sharing and reuse.

Module 6: Legal, Ethical, and Policy Issues

• Navigating the legal, ethical, and policy issues related to research data.
• Understanding copyright, intellectual property, and data ownership.
• Addressing data privacy, confidentiality, and security concerns.
• Developing institutional data policies and guidelines.
• Best practices for managing legal and ethical considerations.

Module 7: Data Literacy Support for Researchers

• Providing data literacy support and training to researchers.
• Identifying researcher data management needs and challenges.
• Developing and delivering data management workshops and resources.
• Promoting data management best practices and tools.
• Best practices for enhancing researcher data literacy.

Module 8: Institutional Data Repositories

• Developing and managing institutional data repositories.
• Understanding repository platforms and functionalities.
• Establishing data deposit workflows and curation processes.
• Ensuring discoverability and accessibility of repository content.
• Best practices for building and maintaining data repositories.

Module 9: Creating Data Management Plans (DMPs)

• Creating comprehensive data management plans.
• Understanding DMP requirements from funders and institutions.
• Guiding researchers in developing effective DMPs.
• Reviewing and providing feedback on DMPs.
• Best practices for DMP creation and support.

Module 10: Libraries in the Research Data Landscape

• Understanding the role of libraries in the research data landscape.
• Collaborating with research offices, IT departments, and other stakeholders.
• Advocating for library involvement in data management initiatives.
• Positioning the library as a central hub for research data services.
• Best practices for library leadership in research data management.

Module 11: Tools and Technologies for Data Curation

• Exploring tools and technologies for data curation and management.
• Utilizing data cleaning and transformation software.
• Implementing metadata management tools.
• Exploring data visualization and analysis platforms.
• Best practices for leveraging technology in data curation.

Module 12: Collaboration and Partnerships

• Fostering collaboration with researchers and other stakeholders on data initiatives.
• Building relationships with research groups and departments.
• Participating in campus-wide data management working groups.
• Engaging with external data repositories and networks.
• Best practices for successful data collaborations.

Module 13: Promoting the Value of Research Data

• Promoting the value and impact of research data through effective curation.
• Showcasing the benefits of data sharing and reuse.
• Highlighting the role of libraries in enhancing data discoverability.
• Demonstrating the impact of curated data on research outcomes.
• Best practices for advocating for research data management.

Module 14: Data Curation for Different Data Types

• Understanding the specific curation needs for different data types.
• Addressing challenges in curating textual, numerical, image, and other data formats.
• Applying format-specific metadata standards and preservation strategies.
• Exploring tools and workflows for diverse data types.
• Best practices for curating various forms of research data.

Module 15: The Future of Data Curation in Libraries

• Exploring emerging trends and the future of data curation in libraries.
• Understanding the impact of open science and FAIR data principles.
• Anticipating new roles and skills for library professionals.
• Preparing for the evolving data management landscape.
• Best practices for future-proofing library data services.

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.