Dados nulos, negativos ou inconclusivos:

Abstract

It deals with null, negative or inconclusive data. It aims to represent the concept of null, negative, or inconclusive data from aspects that surround them. Specifically, about this data, the aim is to raise tangent characteristics, identify typologies, discuss aspects that permeate its publicization and structure an image representation of its characteristics identified in the literature. It is assumed as a deductive, descriptive, bibliographical, and qualitative research. It uses the CmapTools software (version 6.04) to generate an image representation about the type of data under study. It results in a set of attributes, typologies, barriers, and reasons for publicizing the data in question, and is illustrated in the form of a concept map. It concludes that null, negative, or inconclusive data, as research data, are theoretically and methodologically well delineated, can assume six typologies (null, negative, inconclusive, non-results, confutative or alternative) and are essential for scientific progress, but due to biases and obstacles of a cognitive, sociological, economic, behavioral and meritocratic nature tend to become dark data, remaining out of the public's knowledge.