Google NGram graph Book Chapter

Translate Data Term to everyday

Data, data, and more data. Data from all sides, news, opinions, decisions, and even when we try to build a perception of the most different issues, data are used to support the main concepts involved.

The participation of data in our daily lives is not new. We have always relied on them to establish our perception of the world and the construction of opinions and decision making. However, more and more available, data became part of everyone’s daily life and in all spheres of action. Every day we are put in contact with information based on data and, with them gaining increasing prominence, we are impelled to try to understand what it is about. But it is not always an easy task, there are many ‘DATA-something- something’ defining concepts that contain other concepts related to what we can do with the data.

This flood of citations to the term ‘DATA’ has been growing exponentially: there are posts, news, articles, books, and everyone bringing ‘DATA-something-something’ as if everyone had an obligation to know the meaning of these concepts.

Many of these concepts come from real situations and result from factors that technological advances provide, while others are defined by companies (the so famous buzzwords). One issue that emerges from this scenario is that often used as a sales pitch, these concepts end up receiving connotations that overlap with the denoting senses.

In this sense, a selection of concepts that permeate the question of data is presented, especially those that have a direct relation to the use of data in digital informational environments. The concepts were selected based on the criterion of a greater presence in publications, especially books, and, in the end, we present an example of using data to illustrate exactly this question of the presence of the term ‘DATA’ in books. It is worth remembering that they are simplified definitions of each of the concepts, and that they aimed at an overview of each term, but that allows the reader to position himself when he finds the so-called ‘DATA-something-something’.

Access to the e-book (only in Portuguese)

Black Mirror Nosedive screeshot. Copyright to Black Mirror. Book Chapter

Science Fiction and Reality of Data Collecting in Online…

The goal of this study was to relate a science fiction narrative to the current context of Data Collection in OSNS – Online Social Network Services, aiming to build a perception of adherence between the imagined and the real.

An exploratory and descriptive methodology was adopted, with a qualitative and quantitative approach, with a method composed of an exploratory analysis of existing SRSO personal data collecting processes and a descriptive analysis of the form of personal data collecting identified in the sequences from a narrative of an audiovisual production.

The research universe was delimited to the SRSO to data collecting of Facebook, Twitter, and LinkedIn, with the sample composed by the episode Nosedive, part of the Black Mirror series.

For the découpage process of the sequences from the episode, it was identified characteristics referring to the data collection interfaces from OSNS, to filter the elements related to the theme in the sequences content.

The results confirmed the relationship between aspects of the OSNS data collection processes analyzed, with 7 similarities.

Diagram of Entity Relationship Model developed for data collecting. Copyright Fernando de Assis Rodrigues. Book Chapter

Identifying semantic characteristics of user interaction datasets through application…

In an evaluation of a decision, the analyzed fact need to receive inputs from multiple data sources – structuring, integrating, storing, and processing collected data into an output that supports a better understanding of the fact from data, allowing new dimensions of analysis.

The goal of this study is to identify the semantics characteristics of data attributes at the moment of collecting, from dataset’s structures found on data export interfaces on user’s interactions analysis tools, on Internet communication channels, and on web analytics data tools involved in a scientific journal management, through an application of a process of data analysis and data modeling techniques.

The research was delimited to exportable dataset’s available in interfaces from Open Journal Systems, Google Analytics, and Search Console, Twitter Analytics, and Facebook Insights.

It was adopted an exploratory analysis methodology to identify characteristics about how data are available and structured on these data resources. Entity-Relationship Modeling concepts were applied to design and to store data collected from the services, resources, datasets, and attributes.

Also, the collected data was processed into another data structure, adopting the online analytical processing cube as a three-dimensional representation of elements, acting as perspectives of analysis.

This data analysis identified semantic dissonances on definitions of attributes on entities, that may interfering with the development process of relationships between attributes from different datasets, decreasing the potential of interoperability.

Keywords: Data Analysis. Data Collecting. Data. Online Social Networks. User data.


  1. Fernando de Assis Rodrigues
  2. Pedro Henrique Santos Bisi
  3. Ricardo César Gonçalves Sant’Ana

Full text available at

  1. ISKO
  2. Research Gate
Book Chapter

Actions to make government datasets available in Linked Open…

The principles of Linked Open Data (LOD) establish a new way of sharing datasets opened by the Internet, aiming to promote the wide distribution of structured data in languages, such as eXtensible Markup Language (XML) and in compliance with the recommendations of the Resource Description Framework (RDF).

In this scenario, government datasets play a prominent role: they represent 18.58% of the total number of existing LOD datasets and 41.54% of these government datasets have at least one relationship with ontologies or controlled vocabularies, according to the results of the mapping developed by Linking Open Data cloud diagram.

However,  there are still characteristics in the LOD dataset structures at the moment of data retrieval that is not considered ideal nor adopted good practices, such as the absence of metadata and licenses information. Actions to make public government data accessible are an integral part of discussions on trends in the modernization of public administration models, which seek to redistribute skills and resources among different intra-governmental and extra-governmental organizations, allowing greater institutional pluralism in public functions. Read more “Actions to make government datasets available in Linked Open Data”