Falling In with the Right Crowd: Qualitative Data at IASSIST
by Dessi Kirilova, QDR Curation Specalist
QDR Blog
Teaching Qualitative Data Management: Lessons Learned
We have always envisioned QDR as more than a place to deposit (qualitative) data. QDR is also a resource for qualitative and multi-method social scientists working with data. As part of this vision, we regularly teach courses on data management. With varying line-ups, QDR experts have taught data management at the annual Institute for Qualitative and Multi-Method Research since 2013, where we also held individual data management consultations for the first time this year.
Qualitative Data Repository teams with Hypothesis to develop Annotation for Transparent Inquiry (ATI)
Cross-posted at the Hypothesis blog.
JSTOR and QDR Partner in Organizing Data Rescue Event
Esther Jackson, The New York Botanical Garden
Sebastian Karcher, Qualitative Data Repository
Participant Protection, Informed Consent, and Data Sharing
Respect for persons requires that subjects, to the degree that they are capable, be given the opportunity to choose what shall or shall not happen to them. This opportunity is provided when adequate standards for informed consent are satisfied. – Belmont Report, page 10
QDR Co-Directors Guest Blog on AJPS Site
“QDR is pleased to have been selected by The American Journal of Political Science (AJPS) to help instantiate part of its revised data access and replication policy.”
Read the full post by Colin Elman and Diana Kapiszewski on the AJPS site.
Webinar on Securely Managing Qualitative Data
QDR staff has long taught data management with a focus on qualitative data – be it as a IASSIST workshop or as a module of the Institute for Qualitative and Multi-Method Research (IQMR), which was co-taught with Louise Corti of UK Data.
Workshop: CAQDAS Projects and Digital Repositories
On October 28, 2016, a group of 19 developers, researchers, and repository specialists met at Syracuse University’s Lubin House in New York City to discuss “CAQDAS Projects and Digital Repositories’ Best Practices,” a one-day workshop organized by the Qualitative Data Repository. CAQDAS – Computer Assisted Qualitative Data Analysis – describes a group of applications that allow researchers to manage, link, tag/code, annotate/produce memos about, analyze, and visualize qualitative and multi-method data.
Teaching with Qualitative Data: An Example
Sharing qualitative data produces many benefits: shared data can contribute to making the research product in which they were originally deployed more easily understandable and interpretable, they can be analyzed by other researchers, and they can be used for pedagogical purposes. QDR is very interested in promoting all of these uses of shared data.