This paper presents a review of the main motivations and paths for publishing datasets that are generated and managed during the research process. The Data Paper is considered as a form of scientific publication with the ...

Research data management is recognized by the scientific community as an important part of best practices in research, so that these data should be available for access and reuse. Within the context of research data ...

Generating value for society from government data has become unavoidable through strategies that make them available in datasets. The datasets are an example of gathering databases that aim to be successful by standing as ...

Abstract: In a Data Warehouse (DW), ETL processes (Extraction, Transformation, Load) are responsible for extracting, transforming and loading data from the data sources into the DW. A good design of these processes in the ...

Publishing data as Linked Data increases the interoperability and discoverability of resources over the web space. This process involves several design decisions and technologies. However, there is no one-size-fits-all ...

Linked Open Data has become a standard for data publishing and data enrichment, and it supports the transition from a document-driven Web to an interconnected Web of data and thus to the Semantic Web. On the other hand, ...

This paper presents the experience of the data obtained on labor demand in Ecuador, the data were taken from a source of data publications made in a job posting website, encouraging the use of Web Scraping tools for the ...

The use and reuse of research data are important and necessary actions in the current context of scientific practice. For this reason, the datasets produced during the research initiatives need to be published to be more ...

The use of data fusion methodologies has increased at the same rhythm as the capability of modern analytical laboratories of measuring sample from multiple sources. Almost all data fusion strategies can be grouped into ...