Biblioteca Central da Universidade Federal do Pará Paper

The 2030 Agenda and the informational content mediated by…

Information and Communication Technologies have enabled new ways for the information mediation process within university libraries, providing tools such as Online Social Networking Services, which provides greater interaction with the user.

Online Social Networking Services are being applied by various sectors of society and have a low cost of financial investment to reach society. In this
context, this research aims to analyze the informational content that is being mediated through the profiles of the Dr. Clodoaldo Beckmann Central Library in the Online Social Networking Services, more specifically the institutional profile of the Facebook Library, in order to understand their role in the social and sustainable development of the Amazon Region, focusing on the relationship with the 2030 Agenda.

Research shows despite advances, the Human Development Indicators (HDI) in the Amazon are still below national averages. In 2016, the United Nations Development Program conducted a ranking list (ranking) of Medium Human Development Indexes (MHDI) of Brazilian municipalities, where it was found that the municipality of Melgaço, State of Pará, has the lowest Brazilian Amazon.

In this way, the research verifies if the data collected through the posts of the library profile on Facebook are in accordance with the guidelines established by IFLA, which states that libraries are agents promoting social and sustainable development, as they enable public access to information. According to the methodological procedures, this research is classified as a case study, using systematic observation as a technique.

The instrument used was a form based on previous studies and the guidelines proposed by IFLA, where the data were categorized according to the type of content and the characteristics of the message. The sample has delimited the posts made from March to September of 2019. It concludes that the Dr. Clodoaldo Beckmann Central Library still prioritizes mediating information about the dissemination of its products and services.

However, there is a concern of this in mediating information that can contribute to well-being and health, and also, to raise the level of learning of students, and this type of content classified as general information, mediated through the Tips of the Week, which disseminates information on reading incentives, time management, preservation of collections, accessibility and memorization techniques.

As one of the largest university libraries in the Northern Region of Brazil, another factor used to expand access to information for the human and social development of the Amazon Region are Campaign-type posts, which are made in partnership with institutions such as Cruzeirinho do Baixo Acará, the João de Barros Barreto University Hospital, the Superintendence of the Pará State Prison System, the Pará Hematology and Hemotherapy Center Foundation, developing their potential for dignity and equality in a healthy environment accessible to all.

Authors

Paper available at

  1. Complexitas
  2. ResearchGate
  3. Academia.edu
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.

Authors

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

Full text available at

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  2. Research Gate
Sociograph of authors. Copyright Fernando de Assis Rodrigues. Conference Paper

Domain Analysis of scientific production about Data Collecting on…

The goal of this study is to identify scientific studies about the thematic of data collecting. For this purpose, it was adopted the domain analysis method on the scientific papers, by an application of Citation and Co-citation Analysis.

The identification of representatives from the thematic of data collecting and the existent dialog among them were obtained by authors and papers metadata sets processing, available on IEEE Xplore(r) Digital Library. As a search strategy, it was used on advanced search the terms ‘Data Collecting’, ‘Data Collect’, and ‘Data Gathering’, concatenated by the boolean operator ‘OR’. This process recovered 2,278 scientific papers and the sample was set only by scientific papers published in scientific journals between the years 1954 and 2018, with a total of 281 papers.

For each paper, the reference section was collected in the HTML document format. It was applied an algorithm to convert formats from HTML documents to CSV files and also to serialize the IEEE Editorial Style found on collected reference data. The algorithm processed 5,867 references and discarded 270 because they are not fit into the IEEE Editorial Style standards adopted on serialization.

From these references, was identified as a total of 8,267 authors. In Citation and Co-citation Analysis, it was applied the Price’s square root law to delimit the authors’ group to 91 participants, rounded to 94 participants because of the 91st participant had the same total of citation of his 3 successors.

After that, the “Cited and Who cited” and the “Absolute Frequency of Co-citation” matrices were generated from an application of an algorithm. By those data, the identification of nationality and the institutional affiliation were obtained by a manual process. Was calculated the social networks indexes i) Network Density, representing the relationship intensity between authors on the network and ii) Centrality Degree, representing the number of relationships received by an author.

The analyzed data resulted in a Network Density value of 3.20 with a standard deviation of 3.34, that is, each researcher has approximately 3 relationships with other network nodes. Also, the resulted value of Centrality Degree was 20.93%, demonstrating dispersion on the network, once that each node has 20.93% of probability to receive some interaction from the network.

This dispersion is associated with the analyzed domain amplitude, once that Data Collecting is a recurrent theme on distinct knowledge areas, but still adherent to IEEE scientific journals context.

When results of the Centrality Degree of each author are analyzed, it is possible to observe a relationship between the results of received citations, indicating that the 13 best-ranked authors by Centrality Degree are also the most cited ones, representing 25.16% of all citations from the network. Also in this group was identified an average of 7.69% from the total of cites to each author, with amplitude varying between 6.12% and 11.76%.

It was concluded that this thematic, although widely cited, shows an American core, related to the institutions UC, USC, and MIT.

Keywords: Data Collecting. Domain Analysis. IEEE.

Authors

  1. Fernando de Assis Rodrigues
  2. Fábio Mosso Moreira
  3. Ricardo César Gonçalves Sant’Ana

Full text available at

  1. X EIICA
  2. Research Gate