The Qualitative Data Repository.
Storing and sharing digital data generated or collected through qualitative and multi-method research in the social sciences.
| Website | https://qdr.syr.edu |
| GitHub | https://github.com/QualitativeDataRepository |
Don't think I've been as excited about a @qdr before. We just published the full data of the Pandemic Journaling Project: 27k journal entries, thousands of images&audio (controlled access): https://doi.org/10.5064/F6PXS9ZK
News piece about this: https://today.uconn.edu/2024/02/pandemic-journaling-project-archive-opens-for-research/
Our Senior Curator Dessi Kirilova & Katie Mika (Harvard Libraries) are talking "Securely Managing and Publishing Sensitive Data" at a free Harvard Webinar Wed. Nov. 15, 12pm
https://libcal.countway.harvard.edu/event/11066807
"[We] will review [using] Harvard Dataverse and Qualitative Data Repository for appropriate data sharing. We will demonstrate how the deposit process works and provide examples of nuanced data sharing possibilities, including of sensitive data, securely shared under varying levels of access control."
We've modernized our authentication: In addition to password/username we now allow social login using google or ORCID. The overall login/logout experience should also be smoother and faster.
(For those interested in the technical details: this is OIDC using Keycloak https://www.keycloak.org/ )
Research Data Management Research Software Advanced Research Computing Upcoming Events Research Data Management McGill Library The McGill Library provides year-round workshops and webinars on a variety of topics like writing data management plans, how to make research data open, as well as introductory and advanced research data management. For a list of upcoming workshops, please visit the McGill Library RDM Guide. McGill RDM Learning Program in MyCourses The McGill Research Data Management (RDM) Learning Program is designed to build knowledge and skills to meet researcher’s RDM needs during their day-to-day research activities. For McGill users, click here to self enrol using McGill emails. For users from McGill affiliated hospitals without a McGill email, please click here to register and specify your affiliated hospital during registration. For external/community users, please contact DRS at drs[at]mcgill[dot]ca for your registration. McGill Data Anonymization Workshop Series 2023 This workshop series aims to upskill researchers with both theoretical and practical knowledge in data anonymization and de-identification of sensitive data to promote and facilitate data deposit and data sharing best practices. Quantitative Data Workshops Workshop 1 - Reducing risk: An introduction to data anonymization Recordings (English & Français) presentation Workshop 2 - ARX: Anonymising data in theory and practice Recordings (English & Français) presentation Qualitative Data Workshops Workshop 3 - Ethically sharing qualitative data Recordings (English & Français) presentation Workshop 4 - Qualitative data sharing: A roadmap and resources to facilitate responsible and ethical data sharing Recordings (English & Français) presentation Research Data Anonymization FAQ [coming soon ...] Research Software McGill University McGill ITS offers courses, self serve videos and lunchtime learning on practical software topics such as IT security, surveys and forms, web publishing, OneDrive and collaboration with Office 365. The McGill Library also offers introductory data analysis workshops in Python and R. Please check the Library's Digital Scholarship Hub schedule of workshops and events for more information. In addition, all McGill staff members have access to the LinkedIn Learning program, which offers hundreds of video courses, which you can do at your own pace, on an extensive array of software development, programming languages and other IT topics. Calcul Québec Calcul Québec analysts offer a range of courses on research software development. You will find introductory programming workshops on Python, OpenMP and MPI, GPU libraries, code version control with Git, data analysis with Python and big data analysis with Spark. Please see the full list and schedule of available Calcul Québec courses. Other McGill Initiatives Many units and initiatives offer workshops on a broad range of topics, please refer to the list below to see what is currently available. The Faculty of Science's Computational and Data Systems Initiative (CDSI) offers workshops on topics related to advanced statistical methods, coding and programming languages, high performance computing, machine learning and general data science. The McGill initiative in Computational Medicine (MiCM) offers yearly workshop series focused on life sciences aspects. McGill's Geographic Information Centre (GIC) offers workshops related to geospatial data science, including training on topics such as data analysis in R, Python, QGIS, ArcMap, working with LiDAR data, and more. For more information, please visit the GIC's workshop registration page. Advanced Research Computing The full list of ARC-related the training sessions and workshops is available on the Calcul Québec training section of their website. Our analysts conduct training sessions and host conference lunches on many key topics ranging from first steps on high performance computing servers, data analysis to parallel programming. Upcoming Events Visit our events page for information about upcoming workshops, research drop-in sessions, and other events hosted by the DRS and VPRI.
We’re pleased to announce that QDR's Diana Kapiszewski and Dessi Kirilova have created a new three-module course on “Data Management for Social-Behavioral-Educational (SBE) Research,” which was just released as a self-guided option via Collaborative Institutional Training Initiative (CITI Program).
🚨Don't forget - tomorrow @adam42smith joins us online @UBMannheim @ 3-4pm (CET) for our next instalment in the #OpenScience seminar series on "Transparency in Qualitative Research". 🚨
Sign up using the link below:
https://www.uni-mannheim.de/news/transparency-in-qualitative-research-1/
Sebastian Karcher
David Philip Morgan