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My Gallery

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. A university adopts an Open Science policy requiring publications, datasets, software, and protocols to be openly shared whenever possible. Which principle is being emphasized?

2. "MARCEdit" is a tool for:

3. A university library plans to establish an AI-powered Research Support Centre. Which combination of services would best align with international best practices?

4. Which FAIR principle primarily enables computers to exchange and interpret research data automatically?

5. Which action contributes most directly to making research data reusable?

6. Open Educational Resources (OER) are characterized by:

7. "Plan U" proposes:

8. Assertion (A): Research Data Management improves long-term research value. Reason (R): Well-managed datasets are easier to discover, interpret, preserve, and reuse.

9. "OpenAthens" is primarily used for:

10. "The HathiTrust Emergency Temporary Access Service" was used during:

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