Professional Development in Library and Information Science
Summary
Professional development in library and information science encompasses the ongoing acquisition and refinement of knowledge, skills and competencies required for librarians and information specialists to meet evolving user needs and technological advancements. Traditionally centred on postgraduate education and in‐service training, it now embraces diverse modes of learning including e-learning, self-directed study, peer collaboration and formal certification. The accelerating pace of digital transformation, the rise of data-intensive research and the integration of artificial intelligence have heightened the demand for specialised expertise in areas such as digital scholarship, research data management and user-centred service design. Globally, institutions are adopting frameworks for continuing professional development (CPD) to ensure that practitioners remain agile and responsive to changes in information ecosystems. This holistic approach recognises not only technical proficiency but also leadership, communication and ethical decision-making as core elements of contemporary librarianship.
Research from Nature Portfolio
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Professional Development in Library and Information Science publication trend
The graph below shows the total number of articles in professional development in library and information science across all publications each year (not limited to Nature Index journals).
Technical terms
Continuing Professional Development (CPD): A structured process of lifelong learning enabling information professionals to maintain and enhance their competencies throughout their career.
E-learning: The delivery of educational content and training through electronic media, often via online platforms, to support flexible and self-paced learning.
Digital Scholarship: Scholarly activities that employ digital tools and methodologies, including research data management, digital publishing and computational analysis.
Artificial Intelligence Tools: Software applications that leverage machine learning, natural language processing or automation to support information discovery, curation and user services.
Capacity Building: Initiatives aimed at strengthening the abilities, resources and organisational structures of individuals and institutions to perform effectively in a changing environment.
References
- E-Learning for Continuing Professional Development of University Librarians: A Systematic Review. Sustainability (2023).
- LIS Educators’ Perception Towards the Adoption of AI Tools in Nigerian Library Schools. Metaverse Basic and Applied Research (2024).
- Perceptions of employers in South Africa on library and information science graduates’ skills, knowledge and competencies on digital scholarship. Heliyon (2023).
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