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Data Wrangling

Data wrangling is the process of gathering, cleaning, and transforming raw, messy data into a structured format. It prepares datasets for analytics, machine learning, or business intelligence. Analysts often spend the majority of their time wrangling data before actual analysis begins

Data Carpentry

Data Carpentry is now a lesson program within The Carpentries, having merged with Software Carpentry in January, 2018. Data Carpentry's focus is on the introductory computational skills needed for data management and analysis in all domains of research.

Quiz

NET Paper – UNIT I

1. Data, Information, Knowledge and Wisdom.
2. Information Life Cycle - Generation, Collection, Storage and Dissemination.
3. Role of Information in Planning, Management, Socio-economic, Cultural, Educational and Technological Development.
4. Information Science - Relationship with other subjects, Information Society and Knowledge Society.
5. Communication – Concept, Types, Theories, Models, Channels and Barriers; Trends in Scholarly Communication.
6. Information Industry - Generators, Providers and Intermediaries.
7. IPR and Legal Issues - Categories, Conventions, Treaties, Laws.
8. Plagiarism: Concept and Types.
9. Right to Information Act (RTI); Information Technology Act.
10. National Knowledge Commission; National Mission on Libraries.

This quiz has 10 question(s).

1. The "J-Gate" platform is an:

E-journal gateway and discovery service IR software Citation index Plagiarism checker

2. "ShodhShuddhi" is an initiative by the Indian government for:

Open access publishing Plagiarism detection software access Research data management Digital preservation

3. Assertion (A): Linked Open Data enhances interoperability among library systems. Reason (R): Linked Open Data relies on standardized identifiers and semantic relationships.

Both A and R are true, and R correctly explains A. Both are true, but R is not the explanation. A is true; R is false. A is false; R is true.

4. "Open Data" in libraries might include:

Library usage statistics as CSV RFID MARC DRM

5. "Lyngsoe Systems" offers:

Automated materials handling and RFID ILS MARC Plagiarism

6. "CORE" aggregates:

Open access articles from repositories worldwide RFID MARC ILS

7. Assertion (A): Institutional repositories increase the visibility of research outputs. Reason (R): Repository records are indexed by search engines and scholarly discovery systems.

Both A and R are true, and R correctly explains A. Both are true, but R is not the explanation. A is true; R is false. A is false; R is true.

8. Which metadata element is most important for enabling proper citation of a research dataset?

Cover image Persistent Identifier (DOI) Font size Number of folders

9. "Scholarly Communication" librarians focus on:

OA, copyright, publishing support RFID MARC Only cataloguing

10. An academic library is redesigning its research support services to align with Open Science and AI-assisted scholarship. Which combination of initiatives best reflects international best practice?

Restrict repository access, discourage data sharing, and prohibit AI use. Expand research data management, Open Access support, AI literacy training, bibliometric services, systematic review support, and responsible AI guidance. Focus exclusively on printed reference collections. Eliminate librarian involvement in research support.

LOCATIONS

UNIVERSITY

Department of Library & Information Science University of North Bengal, Raja Rammohunpur Shivmandir, Siliguri 734013

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24 Rajsekhar Basu Sarani, 69 Bharatnagar Siliguri -734006

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