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(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 […]

Bridging the Data Divide One Resource at a Time

Editor Comments:  “If you are looking to offer community data training events, this article gathers many resources like training materials and lessons that are made to be re-purposed. When I was organizing some introductory lessons for student groups in my library I found some particularly useful materials in the catalog of training materials. These materials […]

First Timers Only

Editor Comments: “This is a really nice guide for people who are first-timers to open source software (OSS) about how to contribute to projects and become involved in the OSS community. It’s made to be friendly and show that anyone can contribute positively to a project. It also provides some guidelines for OSS developers to […]

I asked Tinder for my data. It sent me 800 pages of my deepest, darkest secrets

Editor Comments:  “This interesting read demystifies how we are unknowingly giving our crucial personal data to our dear social and dating apps. This intimate data helps these social apps study and decipher us in million ways, putting our privacy at risk. The article also highlights how good data protection laws and regulations can help us […]

The Data Ethics Canvas

Editor Comments:  “In the academic setting, we’re seeing an increasing interest in and awareness of the importance of research data management (RDM) and data security. This resource from the Open Data Institute provides a handy visual for helping any user of data think critically about the resources they’re using and what their responsibilities and obligations […]

Open Data/Open Minds

Editor Comments:  “I’m blown away by the creativity and potential impact of this project from NEXMAP.  It provides an exciting framework and tools to facilitate data and scientific literacy by supporting citizen driven investigations of and story telling about the issues that matter to a local community.” – Robin Champieux First of all, welcome! And […]

What You Need to Know to Start a Career As a Data Scientist

Editor Comments: “This is a great post by Julia Silge on the challenges and rewards on moving from software development to data science. I especially like the section on needing creativity and communication to succeed.” – Ted Laderas Demand for developers with specialized skills is on the rise across the board, and companies are particularly interested […]

DataKind Bangalore’s Third DataDive: Charting Success in Social Good

Editor Comments:  “An account of how a data-for-good community in India, is harnessing pro-bono data scientists to work with several mission-driven non-profits to increase their data capacity. More than 120 data volunteers came together to help non-profits working in rural health care, primary education, national legal aids, human rights and renewable energy. DataKind Bangalore is […]

Managing Research Data in Your Institution

Editor Comments:  “I love the simplicity of this guide to institutional research data management services.” —Sara Mannheimer Research data management is important for institutions as well as researchers. Funders ask that data underpinning publications, or any data with long term value, is made available. This is crucial for both verification and to maintain the integrity […]