Comparar métodos

	Investigación Narrativa Digital	Análisis Temático
Campo	Cualitativa	Investigación cualitativa
Familia	Process / pipeline	Process / pipeline
Año de origen	Mid-1990s (practice); 2000s (formalised as research methodology)	2006
Autor original	Joe Lambert & Dana Atchley (Center for Digital Storytelling, Berkeley); theorised in research contexts by John Hartley, Kathy McWilliam, and Michele Knobel	Virginia Braun and Victoria Clarke
Tipo	Qualitative research design	Method
Fuente seminal	Lambert, J. (2013). Digital Storytelling: Capturing Lives, Creating Community (4th ed.). Routledge. ISBN: 978-0415627030	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Alias	digital storytelling research, DNR, digital narrative inquiry, digital story-based research	TA, Reflexive Thematic Analysis
Relacionados	4	3
Resumen	Digital Narrative Research is a qualitative methodology in which participants create or share short digital stories — typically combining personal voice-over, photographs, video, and text — that become the primary data for inquiry. Originating in community digital-storytelling practice developed at the Center for Digital Storytelling in Berkeley in the 1990s, the approach has been adopted widely in education, health, social work, and participatory action research to surface voices and experiences that are difficult to capture through interviews or surveys alone.	Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.