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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 – I

Information, Communication and Society: Data, information, knowledge and wisdom; information life cycle; role of information in development; information and knowledge society; communication theories, models, channels and barriers; scholarly communication; information industry; intellectual property rights; plagiarism; RTI and IT Act; National Knowledge Commission and National Mission on Libraries.

This quiz has 10 question(s).

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

2. "Copyright for libraries" during the pandemic involved:

3. What is the primary purpose of a preprint server?

4. "Citation Gecko" is a tool for:

5. Which statement is most closely associated with Open Science in modern Library and Information Science?

6. A researcher requests assistance in selecting a repository for depositing a multidisciplinary dataset. Which criterion should the librarian prioritize?

7. "CORE" aggregates:

8. Which statement is most closely associated with FAIR Principles in modern Library and Information Science?

9. Which statement is most closely associated with Research Data Management in modern Library and Information Science?

10. The "Centre for Internet and Society" (India) works on:

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