QDR Blog

How QDR Meets Federal Criteria for Data Repositories

Two US federal government agencies recently published exciting, forward-looking guidance on data sharing for researchers receiving US federal funding. First, the National Institute of Health (NIH) – following an extended process of public comment and revisions – published its guidance on data sharing for grantees under the new NIH-wide Data Management and Sharing Policy.

PRIM&R and QDR help IRB professionals discuss data sharing in the social, behavioral and economic sciences

Since QDR’s founding in 2014, we have gained an increasing appreciation for the power and complexity of the academic  “ecosystem” comprising the various institutions that create and disseminate knowledge. Funders, disciplinary associations, journals and publishers, and units at colleges and universities such as Ethics Boards and Sponsored Research Offices, all shape social science research, and the sharing of the data that research produces.

QDR is Offering Complimentary Curation and Storage for COVID-19 Related Data

The scientific response to the global pandemic has shown, among other things, the value of open science, collaboration, and data sharing. In that spirit, QDR will support efforts to share qualitative and multi-method social science data underlying COVID-19 related research.

archivr - Loving Data from Web Research

Welcome to Love Data Week. Every year, research data professionals from libraries, data repositories, and other organizations celebrate great ways to use data and best practices in taking care of research data. You can find lots of us tweeting using #LoveData20 or #LoveDataWeek. At QDR, we’re celebrating this year by releasing our first software tool for researchers, the R package archivr (pronounced “archiver”).

NSF Wants You to Use Effective Data Practices

QDR Can Help

In a recent “Dear Colleague Letter”, the National Science Foundation (NSF) encourages researchers to adopt best practices in managing research data. NSF frequently uses “DCLs” to make researchers aware of funding priorities and preferred practices, so if you are thinking of applying for NSF funding, you should pay close attention to such pronouncements.

Improving QDR's Dataverse for Qualitative Data

When QDR adopted the Dataverse platform in early 2017, one of our goals was to improve the software, development primarily with quantitative data in mind, for qualitative data and the researchers using it. A little more than one year into using Dataverse software at QDR, we have made significant strides in this direction. Here is a quick overview of some of our biggest additions. I also talk about some of these in the video below.