Syllabus

Post Graduate Diploma in Digital Library and Data Management (PGDDLDM)

Course Conducted By : Indira Gandhi National Centre for the Arts,

Course	Post Graduate Diploma in Digital Library and Data Management (PGDDLDM)
Duration	1 year
Medium	English
Eligibility & Admission Requirements:	Bachelor in Library and Information Science or equivalent from any recognized university of graduate/ post graduate level course in museum/library/archives/reprography/B.Tech.

Semester wise Syllabus

Information Communication Tools and Technologies (Credit-)
- 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.

Knowledge Organization in Digital Environment
- Introduction to Knowledge Organization.
- Basics of Classification and Cataloguing
- 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 ñ Simple Knowledge Organization System (SKOS), Web Ontology Language (OWL), RDF.
- Harvesters And Federated Search Engines.
E-Resource Management

E-Resources: Nature, Types and Characteristics; E-Journals, E-Books, Multimedia Resources and Online Resources
Remote Access Tools and Technologies.
Information Literacy: Concept, Tools and Techniques.
Online Information Services: Search And Retrieval Strategies
Open Access Initiative ñ India and Global, SHERPA services, Open Science.
Open Access Resources and Types.
Legal Issues ñ Intellectual Property Rights (IPR), Creative Commons Licenses, 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.

Library Automation Software: Open Source Software- Koha, NewGenLib and Proprietary/Commercial Software.
Web Scale Discovery Services, Federated Search, ViewFind and other Commercial Software.
Assistive Technologies.
Content Development Software ñ 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.

Digital Libraries: Conceptual Framework; Definitions, Theories, Architecture and Models..
Digital Library Components: Identifiers, Handles, Digital Object Identifier (DOI), Persistent Uniform Resource Locator (PURL) Interoperability and Security.
Digitization: Need, Process, Functions, File Formats, Standards and Content Migration.
Digital Library Software: Open Source Software ñ Eprints, Dspace, Fedora, GSDL and Proprietary/Commercial Software.
Digital Preservation: Policy, Strategy, Approaches Tools, Standards and Evaluation.· Preservation Metadata Maintenance Activity (PREMIS) And Preservation Projects Archiving: Concepts, Methods And Procedures.
Digital Collection Management and Evaluation ñ 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 Digital Library

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 Data Repositories- 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.

Fundamentals: Meaning, Definitions, Objectives, Motivation, Characteristics and Types of Research.
Review of Literature: Meaning, Need, Objectives, Sources, How to Conduct the Review 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 Sample Size 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 in Digital 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.