Embedded Files
Tools and Resources for Open Science
Tools and Resources for Open Science
Preregistration
Open Science Framework registries OSF Preregistration templatesPreregistration template for qualitative research and another one herePreregistration template for qualitative and quantitative ethnographic studiesPreregistration template for systematic reviews
Preregistration template for scoping reviewsGeneral OSF template
Preregistration template for scoping reviewsGeneral OSF template
Transparent Processes and Research Design
Project TIER – Teaching integrity in empirical researchEQUATOR – Enhancing quality in health research
Qualitative Transparency Deliberations – Musings on transparency in qualitative researchConsolidated Criteria for Reporting Qualitative Research (COREQ) - Reporting guidelines for interviews and focus groupsPRISMA - Reporting guidelines for systematic reviews and meta-analysesPRISMA 2020 - R package and Shiny app for creating PRISMA flow diagramsEDA diagrams - Experimental research design assistant
Qualitative Transparency Deliberations – Musings on transparency in qualitative researchConsolidated Criteria for Reporting Qualitative Research (COREQ) - Reporting guidelines for interviews and focus groupsPRISMA - Reporting guidelines for systematic reviews and meta-analysesPRISMA 2020 - R package and Shiny app for creating PRISMA flow diagramsEDA diagrams - Experimental research design assistant
Data Management
FAIR sharing – Data and metadata standards, inter-related to databases and data policiesDMP tool - Create your data management plan hereMANTRA – Free course on data managementDataWiz – Automated assistant for data managementManaging Qualitative Data (interactive course)
Example guidelines for anonymizing data
Example guidelines for anonymizing data
Analytical Tools
The Reproducible Open Coding Kit (ROCK) – R package for qualitative researchersInterface for the Reproducible Open Coding Kit (iROCK) – GDPR-compliant, browser-based qualitative coding toolEpistemic Network Analysis – Network models (mainly for quantified narratives)nCoder – Develop, validate, and implement automated classifiersCATMA – Tool for qualitative annotation and various analysesTaguette – Text tagging and highlightingJamovi – Easy to use tool for statistical analysesOrange – Machine learning and visualizationKH Coder – Qualitative coding, content analysis, and text miningText Analyzer – Simple content analysis (frequency and lexical density)Charticulator – Data visualizationELAN – Annotation tool for audio and video recordingsCohen's Kappa calculators - first, secondRho calculator
DOCA - Database of Variables for Content Analysis
ASReview - Open source software for systematic reviews
Dreampuf - For creating flowcharts, network viz (circo, dot, fdp, neato, osage, twopi)
DOCA - Database of Variables for Content Analysis
ASReview - Open source software for systematic reviews
Dreampuf - For creating flowcharts, network viz (circo, dot, fdp, neato, osage, twopi)
Data Storage and Sharing
Open Science Framework (unlimited)Gitlab (10GB/repo; unlimited repos)Github (1GB/repo; unlimited repos)FigShare (5GB)UK Data ServiceEuropean Open Science Cloud (EOSC)The Qualitative Data RepositoryRe3data – Registry of research data repositoriesRegistry of Open Access Repositories – Exactly what it sounds likeZotero – Citation manager, shareable librariesJabRef - Cross-platform citation and reference management softwareFAIRsharing - Open databases and standardsCOVID19-specific repositories (quant)
Preprint Servers
Open Access Publications
Core – Open access papersInternet Archive – Non-profit open libraryCrossref – Metadata of publications
Other awesome things to help good quality research, dissemination
Asana – For managing group workGather town – Communication Platform; free for up to 25 users
Miro - Collaborative multimedia whiteboards (for sync or async work)OBS Studio – Screen capture; Open broadcaster softwareKialoEdu – For asynchronous, structured debates and discussionsWorld Health Organization – Informed consent formsCOS Reproducible Research Training + IRB and Consent form examplesOpen (qualitative) data consent supplement for informed consent forms (draft)European Charter & Code for Researchers – General ethics considerationsInkScape – Free and open source vector graphics editor; tutorials
DreamPuf - Synchronous mind mapping with code
Figma - Free vector graphics editor
Otter.ai – Transcription toolKaggle – Machine learning and data science communityGuidelines on picking colors for visualizationsCRediT – Contributor roles taxonomyRegular expression tutorialRStudio cheatsheets
Miro - Collaborative multimedia whiteboards (for sync or async work)OBS Studio – Screen capture; Open broadcaster softwareKialoEdu – For asynchronous, structured debates and discussionsWorld Health Organization – Informed consent formsCOS Reproducible Research Training + IRB and Consent form examplesOpen (qualitative) data consent supplement for informed consent forms (draft)European Charter & Code for Researchers – General ethics considerationsInkScape – Free and open source vector graphics editor; tutorials
DreamPuf - Synchronous mind mapping with code
Figma - Free vector graphics editor
Otter.ai – Transcription toolKaggle – Machine learning and data science communityGuidelines on picking colors for visualizationsCRediT – Contributor roles taxonomyRegular expression tutorialRStudio cheatsheets
Download SQAFFOLD
Download SQAFFOLD
Simple Qualitative Administration For File Organization, Licensing, and Development
SQAFFOLD is a directory system with tools and resources for qualitative and unified research projects to aid organization and making project materials public.
Some thoughts on Open Science in qualitative and quantitative ethnographic research
Some thoughts on Open Science in qualitative and quantitative ethnographic research
Many scholars think Open Science means open data, and precisely for this reason, it is less applicable and less feasible for qualitative research. Transparent research practices are more than considering making your data public. Below are some ideas on what you can share with others:
- Conceptualization (key terms and their descriptions/definitions, theoretical framework, etc.)
- Research design/Operationalization (research questions and type of measurement, sampling strategy, sample size planning, recruitment, etc.)
- Process of data collection (tools: interview guide, observation guide, etc., stopping criteria, type of data collected)
- Codes (code development, different versions of code structure and round/s of triangulation, final codebook, etc.)
- Segmentation and data transformation (if qual data was segmented what considerations were behind that, how was it achieved, etc.)
- Coding process (changes in codes while coding: merges, splits, additions, etc., software used, number of raters, inter-rater reliability measures, etc.)
- Analysis (analytical approach, analytical tools, analysis scripts, etc.)
- Credibility strategies (respondent validation, peer debriefing, etc.)
- If you are using Epistemic Network Analysis: model parameters: unit, conversation, stanza window, SVD/means rotation, edge weights, etc.
...And not merely stating the decisions you have made in your process, but also the justifications and reasoning behind these decisions. Making these aspects of qualitative research public not only increases the transparency and confirmability of a project, but also helps other researchers make better decisions. Sharing our challenges and decision processes adds to a pool of knowledge that will advance science in general.
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