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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. "Altmetrics" refers to:

2. "Directory of Open Access Journals" (DOAJ) indexes:

3. "Symplectic Elements" is a:

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

5. "LibQUAL+" is a survey instrument for:

6. Which statement best describes Open Peer Review?

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

8. Which of the following is NOT generally regarded as a component of Open Science?

9. The "OpenRefine" tool is used in libraries for:

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

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