Big data analysis in libraries

Bag code: EDUL52315025 Targeted participants of the program: Librarians and their managers - Information specialists and knowledge management - Technical staff and librarians' technicians - Researchers and academics in library and information sciences. Days: 3 training days "Training day 5 hours". Time: 15 training hours. Program overview: This program revolves around big data analysis in libraries (definition - types - characteristics - objectives - positives - negatives .. etc). It will be presented through the following units: First training unit: Fundamentals of big data analysis in libraries Second training unit: Tools and techniques of data analysis in libraries Third training unit: Management strategies and practical application Program objectives: - To enable the trainee to understand the concept of big data and its importance in developing library work and making evidence-based decisions. - To equip the trainee with basic skills in tools and methods of big data analysis and their applications in the field of libraries. - To develop the trainee’s ability to utilize the results of big data analysis to improve library services and meet beneficiaries' needs efficiently. Program themes: First training unit: (Fundamentals of big data analysis in libraries): Definition of big data and its sources in libraries • Characteristics of big data (volume, velocity, variety). • Types of data in the library environment (digital, textual, multimedia). • Data sources: catalogs, borrowing systems, electronic databases. Importance of big data in library work • Improving data-driven decision making. • Supporting search, lending, and guidance services. • Measuring user satisfaction and anticipating future needs. Challenges related to big data • Storage issues and managing the huge volume of data. • Difficulty in analysis due to complexity and diversity. • Privacy and information security issues. Second training unit: (Tools and techniques of data analysis in libraries): Big data analysis tools • Large database management systems. • Statistical and digital analysis tools. • Open-source software in libraries. Modern data analysis techniques • Artificial intelligence and machine learning. • Text and information mining. • Visual data representation techniques. Employing big data in libraries • Developing smart indexing and advanced search. • Supporting managerial decision-making and improving efficiency. • Innovating new services for beneficiaries. Third training unit: (Management strategies and practical application): Big data management strategies • Establishing policies for data collection and storage. • Ensuring data quality and integrity. • Building a strong digital infrastructure. Legal and ethical aspects • Protecting user privacy. • Complying with local and international laws. • Ensuring transparency and fairness in data use. Experiences and practical applications • Case studies from global libraries. • Successful local applications in data analysis. • Practical training activities in library data analysis. Contents of the training kit: PowerPoint 145 Trainer’s guide 90 Trainee’s guide 79 Activities 6 Introductory guide 4 References 5 Evaluation and data forms 6 Pre- and post-assessment tests 10 Videos 6 Images 16 Mind maps 1 Brochure 1 Training kit model: Kindly click here to view the training kit model