Browse Items (30 total)
- Collection: Data Curation in the Wild
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@DynamicWebPaige A NASA scientist said that over 80% of old NASA data was unreadable: lack of documentation. Same w/ hardware. No curation.
Tweets about a lack of computer hardware curation and data documentation.
Datasharing – yes, please! An attempt at a beginner’s guide
A cognitive scientist provides an overview of how and why to share data, including where to post it, how to maintain it, recommended formats, and sharing scripts.
Working towards paleoclimate democracy, but we need people to engage. My idea: let's have a rating system for datasets. #5starwannabe
A somewhat serious discussion of ways to encourage adoption of data standards.
Who “owns” your data?
The author discusses the importance of delineating rights and responsibilities concerning data and how to determine data ownership.
Sharing data: Here’s how you do it, and here’s how you don’t
A description of contrasting ways that research data can be shared and obtained: free of charge via a willing researcher, or for a fee using donations from GoFundMe.
Why aren’t people sharing their data and code?
The author lists a variety of reasons why, in his experience, researchers do not share their data.
Interview With a Data Sucker
This is the full text of an interview with the author on the subject of data sharing, conducted in the wake of a data sharing editorial published by the The New England Journal of Medicine that warned against "research parasites".
Sharing data during Zika and other global health emergencies
A statement by Wellcome Trust calling for the openness and sharing of research data pertaining to the Zika virus outbreak.
Is withholding your data simply bad science, or should it fall under scientific misconduct?
The author argues that withholding data violates professional standards in research, and therefore could be considered scientific misconduct.
CODING ERRORS CAN BE AVOIDED
The author describes how coding errors can be avoided by cross-checking the code with the same data before publication and publishing the original data.