From completing job application to finishing up assignments for courses, most of us have hit one of the busiest times in the semester. With the opportunity to apply new skills first-hand to current projects, now is the perfect time to acquire new study and writing skills! To help with this, our March book display, “Writing Success,” is sure to come in handy.

Whether you’re looking for grammar tips or step-by-step guides, this book display has all the tools you need to elevate your writing.

Below are a few picks from the March book display. For the full collection, check out the in-person display at the McLennan-Redpath Library.

As a McGill student working at the library, I understand that navigating the vast world of information can be challenging, especially when encountering terms like “dataset” and “database.” In this short blog post, I try to simplify these concepts for fellow students, providing a clearer understanding of what they entail.

Let’s start with Datasets:

A dataset is essentially a collection of organized information or data. It can be as simple as a spreadsheet with rows and columns or as complex as a massive compilation of data points related to a specific topic. Datasets serve as raw materials for research and analysis, allowing researchers to draw meaningful conclusions based on patterns, trends, and relationships within the data.

For example, a dataset on climate change might include information on temperature variations, greenhouse gas emissions, and sea level rise over a specific time period. McGill’s library provides access to various datasets through platforms like ICPSR (Inter-university Consortium for Political and Social Research), where you can explore datasets related to social sciences.

Now let’s try understanding Databases:

On the other hand, a database is a structured collection of data organized for efficient retrieval and management. Databases store and organize information in a way that allows users to search, retrieve, and manipulate data easily. Think of it as a digital filing cabinet where information is stored in a systematic manner.

McGill’s library offers access to numerous databases, including academic databases like JSTOR, PubMed, and ProQuest. These databases cover a wide range of disciplines, providing students with scholarly articles, research papers, and other academic resources to support their studies.

To rephrase here are the key differences:

   – Datasets: Raw, unprocessed information.

   – Databases: Organized and processed information.

   – Datasets: Used for analysis, research, and drawing conclusions.

   – Databases: Used for efficient storage, retrieval, and management of information.

As a McGill student, you have access to a wealth of datasets and databases through the library, empowering you to explore, learn, and excel in your academic journey.

Remember to leverage resources like lib guides and platforms recommended by the McGill library to make the most of these valuable tools in your studies. Happy exploring!