English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/139307
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
DC FieldValueLanguage
dc.contributor.authorMartín-Rodilla, Patriciaes_ES
dc.contributor.authorPanach, José Ignacioes_ES
dc.contributor.authorGonzález-Pérez, Césares_ES
dc.contributor.authorPastor, Óscares_ES
dc.date.accessioned2016-10-25T10:11:21Z-
dc.date.available2016-10-25T10:11:21Z-
dc.date.issued2016-10-25-
dc.identifier.citationAccuracy, efficiency, productivity and researchers’ satisfaction in digital humanities data analysis: Experiment design [Dataset], 2016es_ES
dc.identifier.urihttp://hdl.handle.net/10261/139307-
dc.descriptionThis documental appendix presents form-based materials employed in order to carry out emppricial studies aboput data analysis performance in digital humanities research contexts. The document includes questionnaires examples for obtaining personal and professional profile of the subjects, as well as data analysis tasks defined in two different case studies in digital humanities that allowed us to measure accuracy, efficiency, productivity and researchers' satisfaction during data analysis performance experiments.es_ES
dc.description.abstractData analysis represents the most important group of tasks carried out in research contexts. Due to the current lack of empirical studies about data analysis performance in digital humanities research contexts, we conducted an empirical experiment comparing data analysis performance employed traditional software versus data analysis performance employed software-assistance tools which incorporate cognitive processes in their design. The experiment is designed in terms of accuracy, efficiency, productivity and user satisfaction during the data analysis made by researchers in digital humanities. This documental appendix presents all the materials created and employed for the empirical experiment presented, including the original forms to obtain information regarding the personal and professional profile of the subjects, as well as data analysis tasks defined in two different case studies in digital humanities that allowed us to measure 4 metrics: accuracy (in terms of correctness of the subjects' responses), efficiency (in terms of the time employed by subjects in performed each task), productivity (as a accuracy/efficiency ratio) and researchers’ satisfaction ( The instrument employed is a questionnaire based on Moody’s framework, which evaluates satisfaction based on three concepts: Perceived Usefulness (PU), Perceived Ease of Use (PEOU) and Intention to Use (ITU) in a 5-point Likert scale). The materials can be easily reusable or take as a basis for similar experiments about data analysis performance in digital humanities research contexts.es_ES
dc.language.isoenges_ES
dc.relation.isreferencedbyMartín-Rodilla, Patricia; Panach, José Ignacio; González-Pérez, César ; Pastor, Óscar. An experiment on accuracy, efficiency, productivity and researchers’ satisfaction in digital humanities data analysis: dataset appendix. http://hdl.handle.net/10261/139309-
dc.rightsopenAccesses_ES
dc.subjectData analysises_ES
dc.subjectData analysis performancees_ES
dc.subjectExperimental designes_ES
dc.subjectDigital humanititeses_ES
dc.subjectSoftware engineeringes_ES
dc.subjectEmpirical studyes_ES
dc.subjectCognitive processeses_ES
dc.titleAccuracy, efficiency, productivity and researchers’ satisfaction in digital humanities data analysis: Experiment designes_ES
dc.typedatasetes_ES
dc.identifier.doihttp://dx.doi.org/10.20350/digitalCSIC/7387-
dc.description.peerreviewedNoes_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
Appears in Collections:(INCIPIT) Conjuntos de datos
Files in This Item:
File Description SizeFormat 
DH_DA_Exp_Materials.pdf402,33 kBAdobe PDFThumbnail
View/Open
ReadMe_DH_DA_Exp_Materials.txt1,23 kBTextView/Open
Show simple item record
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.