Posts with the "openscience" tag

Community Call - Governance strategies for open source research software projects

December 5, 2018

By:   Dan Sholler  |   Stefanie Butland

🎤 Dan Sholler, rOpenSci Postdoctoral Fellow 🕘 Tuesday, December 18, 2018, 10-11AM PST; 7-8PM CET (find your timezone) ☎️ Details for joining the Community Call. Everyone is welcome. No RSVP needed. Researchers use open source software for the capabilities it provides, such as streamlined data access and analysis and interoperability with other pieces of the scientific computing ecosystem. For most complex software, generating these technical capabilities requires building and governing a community via sound management practices, activities that are often less visible than code contributions and other software development work.

Governance, Engagement, and Resistance in the Open Science Movement: A Comparative Study

October 6, 2017

By:   Dan Sholler

A growing community of scientists from a variety of disciplines is moving the norms of scientific research toward open practices. Supporters of open science hope to increase the quality and efficiency of research by enabling the widespread sharing of datasets, research software source code, publications, and other processes and products of research. The speed at which the open science community seems to be growing mirrors the rapid development of technological capabilities, including robust open source scientific software, new services for data sharing and publication, and novel data science techniques for working with massive datasets.

Introducing our Postdoctoral Fellow, Dr. Dan Sholler

June 30, 2017

By:   Stefanie Butland  |   Karthik Ram

We are pleased to welcome our Postdoctoral Fellow, Dr. Dan Sholler. Dan is an expert in qualitative research (yes, you read that correctly) and studies digital infrastructure creation, growth, and maintenance efforts. Through this research interest, he was drawn to the open science community and its ongoing development of tools and communities to support sustainable, reproducible, high-quality research. With rOpenSci, he intends to investigate what drives scientists to engage with or resist open science tools and communities.

The challenge of combining 176 x #otherpeoplesdata to create the Biomass And Allometry Database

June 3, 2015

By:   Daniel Falster  |   Rich FitzJohn  |   Remko Duursma  |   Diego Barneche

Despite the hype around “big data”, a more immediate problem facing many scientific analyses is that large-scale databases must be assembled from a collection of small independent and heterogeneous fragments – the outputs of many and isolated scientific studies conducted around the globe. Collecting and compiling these fragments is challenging at both political and technical levels. The political challenge is to manage the carrots and sticks needed to promote sharing of data within the scientific community.

Reproducible research is still a challenge

June 9, 2014

By:   Rich FitzJohn  |   Matt Pennell  |   Amy Zanne  |   Will Cornwell

Science is reportedly in the middle of a reproducibility crisis. Reproducibility seems laudable and is frequently called for (e.g., nature and science). In general the argument is that research that can be independently reproduced is more reliable than research that cannot be independently reproduced. It is also worth noting that reproducing research is not solely a checking process, and it can provide useful jumping-off points for future research questions. It is difficult to find a counter-argument to these claims, but arguing that reproducibility is laudable in general glosses over the fact that for each research group it is a significant amount of work to make their research (easily) reproducible for independent scientists.

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