dataset for systematic mapping of optimization techniques

We develop a Systematic Mapping Study to observe the fundamentals and techniques used in Data Curation for Big Data. We focus on computational/mathematical techniques, and application scenarios with the aim of answering the following questions: (i) How Mathematics has contributed in the context of Data Curation? (ii) Are there classes of optimization algorithms being used in the context of Data Curation? If yes, which? (iii) In which application scenarios the Data Curation process has presented greater contributions? Our search was performed in some well-known bibliographic sites. Our main study focuses on original contributions to the field of Data Curation. We found that a large number of papers concentrates just on applying known techniques to specific domains. We take these two groups into account. In this context, we perceive the most prominent areas of Mathematics and identify opportunities for further studies in the areas of Mathematics. We observed the most relevant computational elements in the context of this study. We were able to list countries with significant contributions. We have identified the areas that are the most frequent targets for Data Curation.