Skip to content

A Community-curated Hub for All Things Data

Discover


Research Data Management Services in Academic Libraries in the US: A Content Analysis of Libraries’ Websites | Yoon | College & Research Libraries

Editorial Comments: “Yoon and Schultz’s analysis of Library data services webpages provides a data-informed understanding of how libraries are talking about data services. I recently redesigned the Library Data Services webpage at my institution, and I did an informal review of other library data services websites, but this systematic analysis provides even more insight. I’ll […]

Teaching data science fundamentals through realistic synthetic clinical cardiovascular data | bioRxiv

Editorial Comments: “This is a paper that my colleagues and I have been working on to teach issues with using clinical data in data science. We built a realistic synthetic dataset and coursework to help students understand issues in predicting cardiovascular risk. The dataset and course material is freely available through my GitHub here: https://github.com/laderast/cvdRiskData.” […]

Data Analysis and Engagement – Does Caring About the Analysis Matter? · Simply Statistics

Editorial Comments: “This is a good discussion about the value of analysis that incorporates knowledge and care about the analysis. I find that my best collaborations are when my collaborator can communicate the importance of their problem and why what I do matters.” —Ted Laderas   Sometimes, when you’re recording a podcast, it’s actually difficult […]

Expert tour guide on Data Management – CESSDA ERIC

Editor Comments: “This tour guide covers all of the basics of data management from a social science perspective, in a way that is easy to navigate, clear, and succinct. I plan to share this resource with social science researchers at my institution.” —Sara Mannheimer Target audience and mission This tour guide was written for social […]

I4OC: Initiative for Open Citations

Editor Comments:  “The potential utility and impact of open citation data is very exciting to imagine.  Access to so many bibliometric indicators is locked behind expensive sources, like Scopus and Web of Science.  Open citations would equalize access to this data, facilitate transparency, and enable the freer exploration of knowledge creation and communication processes” – […]

Actualizing the Promise of a More Democratic Science: Three Challenges for Open Science

Editor Comments:  “What if I tell you that you can access all the information around the world, is this enough to generate a democratic and knowledge society? Probably not. The promise of Academia – Society interaction through citizen science is enough to generate a partnership of mutual benefit. Some of these ideas are discussed in this article” – […]

The Challenges to Inclusive, Open, and Smart Cities: Speed, Opacity, and Outsourcing

Nominated by Catherine McGoveran With over 50% of the human population now living in urban areas, it is no wonder that we are constantly re-moulding and re-imagining our cities. No longer is it enough to be a big metropolis. Cities must be connected, self-aware, intelligent entities; they must be smart. Read more: The Challenges to […]

rOpenSci Interview with Jenny Bryan

Editor comments: “This is just an awesome and inspiring interview of one of the current leaders of data science and open research. I think anyone who thinks about data science problems or even just work life balance could learn something from Dr. Bryan and her work.” — Jessica Minnier   In this occasional series, we […]

(Re)usable Data Project

Editor Comments:  “This project, which I contribute to, aims to evaluate the reusability of biomedical data sources by evaluating their licensing.  Our approach was to translate frictionless licensing characteristics, as represented in frameworks like FAIR data, into a quantifiable rubric.” – Robin Champieux Inspired by the efforts of scientists around the world and the game-changing […]

The Practice of Reproducible Research

Editor Comments:  “This is a useful resource that includes many examples of reproducible studies and research, focusing on data-intensive sciences. It is filled with great advice and tips—especially the appendix, don’t miss it! The collection will be released as a book in 2018.” — Jessica Minnier This is the open, online version of the book […]