Resource Directory
CESSDA Resource Directory
Tag: qualitative data Clear tag
Showing 1 to 8 of 8 items
Qualitative Data Anonymisation: FORS Webinar
2022 Presentation
This webinar gives an introduction to the key principles of qualitative data anonymization and guides researchers through the different techniques for anonymising their data, as well as file handling procedures. It also addressed some common concerns expressed by researchers, and how to possibly...
QDR Curation Handbook
2021 Journal article
This document provides an overview of the Qualitative Data Repository's (QDR) internal curation process. The process includes standardized steps from depositor contact, file processing procedures and Dataverse repository operations, to publication of the data project and thereafter.
Qualitative Data Collection Ingest Processing Procedures
2015 Document
This document covers the ingest processing of qualitative data collections archived at the UK Data Archive. It does not cover quantitative ingest processing, which is covered in the document Quantitative Data Ingest Processing Procedures. However, where mixed-method data collections contain both...
De-identifying Qualitative Data: IASSIST Webinar
2022 Presentation
De-identifying qualitative data poses unique challenges given their structure and contextual richness. As the sharing of qualitative data is becoming more common, reliably de-identifying such data is crucial because participants in qualitative research projects commonly receive assurances of conf...
Free & Open Source Qualitative Analysis Tools
2020 Presentation
This webinar is about qualitative Data Analysis with Taguette and qcoder
Kvalikirstu 2
Software
Kvalikirstu 2 is a tool for processing qualitative datasets with hundreds of files at the ingest phase. The data produced by Kvalikirstu 2 align with current requirements for long-term preservation. The features of Kvalikirstu 2 include a graphical user interface for processing and ODT file suppo...
Data Management Guidelines - FSD
2018 Webpage
This collection of webpages from FSD include best practice guidelines for managing research data across the whole life cycle of data. These guidelines can be useful for the archive staff as well as for data producers. The guidelines are very extensive and are divided in to eleven categories and a...
Showing 1 to 8 of 8 items