Post Graduate Diploma In Digital Library And Data Management (PGDDLDM)

Semester – I
  1. Information Communication Tools and Technologies
    • Information Communication Technologies in Libraries.
    • Networking: Concept, Objectives, Types, Devices, Product and Services.
    • Computer Hardware and Software: Basics, Generations, Classification, Storage and Applications.
    • Operating Systems: LINUX, Windows.
    • Data Representation: ASCII, BCD, UNICODE &Numbering systems (Binary, Octal, Hexadecimal).
    • Website Development: Introduction, Principle and Tools. Markup Language- HTML, DHTML, CSS, XML.
    • File Systems: FAT, NTFS, UNIX File system.
    • DBMS: SQL, PSQL, NoSQL.
    • Microsoft Office: Word, Excel, PowerPoint.
  1. Knowledge Organization in Digital Environment
    • Introduction to Knowledge Organization.
    • Basics of Classification and Cataloging.
    • Indexing: Types and Application, Subject Heading and Keyword.
    • Metadata: Concept, Types and Functionalities.
    • Metadata Standards: MARC, Dublin Core (DC), METS, etc.
    • Protocol For Metadata Harvesting (PMH), Open Archives Initiatives (OAI Model)
    • Ontologies and Thesauri – Simple Knowledge Organization System (SKOS), Web Ontology Language (OWL), RDF.
    • Harvesters And Federated Search Engines
  2. E-Resource Management
    • E-Resources: Nature, Types and Characteristics; E-Journals, E-Books, Multimedia Resources and Online Resources.
    • Remote Access Tools and Technologies.
    • Information Discovery – Subject Portals/ Gateways/Virtual Libraries, Web 2.0.
    • Information Literacy: Concept, Tools and Techniques.
    • Online Information Services: Search And Retrieval Strategies
    • Open Access Initiative – India and Global, SHERPA services, Open Science.
    • Open Access Resources and Types.
    • Legal Issues – Intellectual Property Rights (IPR), Creative CommonsLicenses, Information Networks.
    • Acquisition Models: Evidence Based, Demand Based, Negotiation Based.
    • Internet of Things (IOT): Concept and Use Cases in Digital Libraries.
    • Library Consortium and Access Models, Licensing and Subscription.
  1. Integrated Library Management Systems
    • Library Automation Software: Open Source Software- Koha, NewGenLiband Proprietary/Commercial Software.
    • Web Scale Discovery Services, Federated Search, ViewFind and otherCommercial Software.
    • Assistive Technologies.
    • Content Development Software – Drupal, Moodle, WordPress, etc.
    • Economic Issues: Costing and Funding.
    • Automation of library housekeeping operations.
    • Computerized Information Services management.
    • Deep Web Search: Discovery and Access to Library and Archival Materials,Data beyond the Library Catalogues.
    • Application of Cloud Computing
    • Security and Inventory Management- RFID Technologies.
    • Electronic Surveillance Technologies.
    • Social Networking Technology.
Semester – II
  1. Digitization, Digital Libraries and Digital Preservation
    • Digital Libraries: Conceptual Framework; Definitions, Theories,Architecture and Models.
    • Digital Library Components: Identifiers, Handles, Digital Object Identifier(DOI), Persistent Uniform Resource Locator (PURL) Interoperability andSecurity.
    • Digitization: Need, Process, Functions, File Formats, Standards and ContentMigration.
    • Digital Library Software: Open Source Software – Eprints, Dspace, Fedora,GSDL and Proprietary/Commercial Software.
    • Digital Preservation: Policy, Strategy, Approaches Tools, Standards andEvaluation.
    • Preservation Metadata Maintenance Activity (PREMIS) And PreservationProjects Archiving: Concepts, Methods And Procedures.
    • Digital Collection Management and Evaluation – Issues and Strategies.
    • Digital Libraries: Role in Education and Research. Project Management,Best Practices And Case Studies
    • Digital Humanities: Concepts, components and tools.
    • Academic And Research Perspective: Challenges And Concerns For DigitalLibrary
  1. Data and Data Management Tools for Librarians
    • Data, Information, Knowledge and Wisdom.
    • Types of Data and Data Resources.
    • Big Data: Concepts, Characteristics, Use Cases, Hadoop Ecosystem.
    • Open Data: Concepts, Characteristics, Use Cases, Standards And OGDs.
    • Linked Data: Concepts, Characteristics And Use Cases.
    • Data Storage, Protection and Security.
    • Data Repositories: Types and Functionalities. Resources and Software for DataRepositories- CKAN, DKAN, etc.
    • Data Visualization: Tools and Techniques, R Software.
    • Data Management: DM Policy, DM Planning, Data Interviews.
    • Data Sharing Techniques, Data Reuse, Data Citation.
    • Organization of Data, Documentation, Metadata and File Formats.
  1. Research Information and Citation Management
    • Research Methodology Fundamentals: Meaning, Definitions, Objectives,Motivation, Characteristics and Types of Research.
    • Review of Literature: Meaning, Need, Objectives, Sources, How to Conduct theReview of Literature.
    • Research Hypotheses, Definitions, Nature, Functions, Importance, Kinds,Characteristics, Variables, Formulating, Testing the Hypothesis.
    • Data Collection Methods: Questionnaires, Interviews, Focus Groups, Observation.
    • Sampling: Definition, Population, Methods and Characteristics of a Good SampleSize of a Sample.
    • E-Research Literacy: Concepts Related With Research Originality, Ethics,Plagiarism and Use of Plagiarism Detection Tools.
    • Reference Management: Concepts and Significance of Reference Management inDigital Scenario. Software and Tools: Mendeley, Endnote, Zotero etc.
    • Citation Analysis and Preservation: Bibliometrics, Scientometrics,Ininformetrics and Altametrics.
    • Research Collaboration: Concepts, Tools and Significance. SciFinder, SciVal, ORCID,Scopus, Web Of Science, Google Scholar, Microsoft Academic Search, Mendeley,Impactstory, ResearchGate, etc.
    • Content Generation Skills: Professional Writing and Documentation.
  1. Project Work and Dissertation

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