Stewards of social science data face a fundamental tension. On one hand, they want to make their data accessible to as many researchers as possible to facilitate new discoveries. At the same time,...

Our Data, Our Sovereignty, Our Future

At some point, compression becomes an  aesthetic design choice. Luckily, SVG is a really flexible format, so there's no reason it can't support vector JPEG artifacts.

Divers and academics offer £1,500 for the return of a computer containing 3D mapping data from HMS Royal Oak.

LabKey Server version 18.3.0-61806.763, released on January 16, patches all three issues, so users should update as soon as possible.

Article: Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories

Curating Reuse An Institutional Approach to Statistical and Computational Reproducibility Don’t forget to introduce yourself! Katie Mika | @kmika11 | University of Colorado Boulder | CNI Fall Meeting 2018

City says cash forfeitures not in flagship PETS system; police say PETS backed up.

A core part of Dryad’s mission is to make our data available as widely as possible. Although most users find Dryad content through our website or via links from journal articles, many users also fi…

Growth of the open science movement has drawn significant attention to data sharing and availability across the scientific community. In this study, we tested the ability to recover data collected under a particular funder-imposed requirement of public availability. We assessed overall data recovery success, tested whether characteristics of the data or data creator were indicators of recovery success, and identified hurdles to data recovery. Overall the majority of data were not recovered (26% recovery of 315 data projects), a similar result to journal-driven efforts to recover data. Field of research was the most important indicator of recovery success, but neither home agency sector nor age of data were determinants of recovery. While we did not find a relationship between recovery of data and age of data, age did predict whether we could find contact information for the grantee. The main hurdles to data recovery included those associated with communication with the researcher; loss of contact with the data creator accounted for half (50%) of unrecoverable datasets, and unavailability of contact information accounted for 35% of unrecoverable datasets. Overall, our results suggest that funding agencies and journals face similar challenges to enforcement of data requirements. We advocate that funding agencies could improve the availability of the data they fund by dedicating more resources to enforcing compliance with data requirements, providing data-sharing tools and technical support to awardees, and administering stricter consequences for those who ignore data sharing preconditions.

(2018). Data Organization in Spreadsheets. The American Statistician: Vol. 72, Special Issue on Data Science, pp. 2-10.

Machine-actionable data management plans (maDMPs) are happening. Over the past several years we’ve contributed to community discussions and various events to suss out what we all mean by this term …

Automated "quality checks" by databases of incoming records fsck a whole bunch of data up. Heckuva job, programmers. I bet y'all didn't think you needed human review.