End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach

Background The advancement of science and technologies play an immense role in the way scientific experiments are being conducted. Understanding how experiments are performed and how results are derived has become significantly more complex with the recent explosive growth of heterogeneous research data and methods. Therefore, it is important that the provenance of results is tracked, described, and managed throughout the research lifecycle starting from the beginning of an experiment to its end to ensure reproducibility of results described in publications. However, there is a lack of interoperable representation of end-to-end provenance of scientific experiments that interlinks data, processing steps, and results from an experiment’s computational and non-computational processes. Results We present the “REPRODUCE-ME” data model and ontology to describe the end-to-end provenance of scientific experiments by extending existing standards in the semantic web. The ontology brings together different aspects of the provenance of scientific studies by interlinking non-computational data and steps with computational data and steps to achieve understandability and reproducibility. We explain the important classes and properties of the ontology and how they are mapped to existing ontologies like PROV-O and P-Plan. The ontology is evaluated by answering competency questions over the knowledge base of scientific experiments consisting of computational and non-computational data and steps. Conclusion We have designed and developed an interoperable way to represent the complete path of a scientific experiment consisting of computational and non-computational steps. We have applied and evaluated our approach to a set of scientific experiments in different subject domains like computational science, biological imaging, and microscopy.

Preface

It is with great pleasure that I introduce the proceedings of the 3rd International Conference on Advance Engineering and Technology (ICATECH 2021) is an international seminar organized by Institut Teknologi Adhi Tama Surabaya (ITATS). ITATS is private university located in Surabaya, East Java, Indonesia. The conference is held on October 2nd 2021. This seminar has the main purpose to bring researcher and scholar to share their knowledge and experience in Computational Science, Environmental and Earth science, Applied Science and Technology, Chemical physics and physical chemistry, Renewable Energy and Integration Electrical Science Material Physics, materials analysis, and characterization. The conference serves as an excellent opportunity to meet each other and to exchange ideas with theme of “Opportunities and Challenges for Research and Technology Enhancement in Post Covid-19 era”. List of Editor, Special Thanks To Our Keynote Speaker, Organizing Committee, Scientific Commiittee are available in this pdf.

World of hackcraft

From the intersection of computational science and technological speculation, with boundaries limited only by our ability to imagine what could be.