Linked Infrastructure for Networked Cultural Scholarship

Human brains work through a vast web of interconnections, but the web that researchers increasingly use to understand human culture and history has few meaningful links. LINCS will create the conditions to think differently, with machines, about human culture in Canada.

LINCS serves Canadian researchers by interweaving data from fields including history, communication, music, performance, and literary studies to transform how we engage with culture online.

LINCS will enable deep contextualization and new ways of understanding, empowering researchers and the public with the means to engage more effectively with a vast array of digital cultural content.

LINCS collaborates with stewards of cultural data collections and development partners committed to exploring the potential of Linked Open Data to contribute to a better open knowledge ecology.

LINCS benefits from and contributes to Canada’s national network of expertise in research software development, research computing infrastructure, and research data management.

Linked Open Data for Canadian Cultural Research

LINCS is converting and interlinking Canadian cultural research datasets, making them accessible as Linked Open Data for the benefit of scholars and the public.

What

The LINCS infrastructure project will convert large datasets into an organized, interconnected, machine-processable set of resources for Canadian cultural research.

Why

LINCS aims to provide context for the cultural material that currently floats around online, interlink it, ground it in its sources, and help to make the World Wide Web a trusted resource for scholarly knowledge production.

Who

With a team of technical and domain experts, LINCS will allow Canadian scholars and partner institutions to play a significant role in the developing the Semantic Web.

New LINCS Website

Visit our beta site at portal.lincsproject.ca
for the latest developments and a preview of the LINCS infrastructure.

From Our Blog

Ice cream, Binaries, and Maybes

— Jingyi Long, LINCS undergraduate research assistant — In my first meeting this summer as a data science research assistant, we each followed our personal introductions with declarations of our favourite ice cream flavours. Mine was and continues to be Häagen Dazs’ Strawberry Cheesecake ice cream, and I was pleasantly surprised to learn someone else […]

Apr 25
LINCS Project

Piecing the Past Together With LOD

— Aliza Ferrone, LINCS undergraduate research assistant — I’ve always found that context changes everything when learning something new, especially when it comes to understanding why that something matters. The first example I can think of is how, for all the general chemistry courses I’ve taken, the concepts never really clicked, nor did I see […]

Apr 14
LINCS Project

Writing in Circles: From Beginner to Expert and Back Again

— Sam Peacock, LINCS undergraduate research assistant — As an English student, I was always told to keep my writing concise. Doing so was often easy because I could assume that the person reading my work would be an English scholar, so their expectations of my writing and the knowledge they brought to it would […]

Mar 8
LINCS Project

Stand-ups for Software Development

— Eason Liang, LINCS computer science co-op — When I began my first co-op placement, I had no idea how software development worked in a professional environment. Previously, my experience had only been in the classroom, where my classmates and I developed software for assignments. When I moved into a professional context, I was exposed […]

Mar 3
LINCS Project

Browse Posts