Português
The objective of this project is to explore the use of visual programming paradigms to enable non-programmers to be part of the Data Science workforce.
In contrast to existing approaches, which require programming, Scientific Workflow Management Systems (SWMS) can become an alternative to support the visual programming of data science projects. Such systems (e.g. Taverna and Kepler) use a simple graphical, graph-based structure to develop applications.
This simplicity has shown to be suitable in several scientific areas such as bioinformatics, geophysics, and climate analysis. Despite the success of SWMS in data intensive research, they did not reach a state where non-programmers data scientists can use them. They still require some programming and scripting skills to code individual processing tasks. That is why research teams using those systems are usually composed of scientists and software developers.
We propose to extend current SWMS to support the parameterization of generic prebuild workflow templates. Workflow templates capture the processing tasks of data science projects. A template can be seen as a formalized best practice that data scientists can use to solve common data analysis challenges. Templates are developed by multidisciplinary teams of experts and reused by non-programmer data scientists. Parameterized workflows have been used successfully in the field of enterprise computing since 1970 to increase software reuse (e.g. SAP’s parameterized workflows to automate business process models). We claim that the same type of benefits can be obtained by parameterizing scientific workflow templates.
| Research Centre | Research Group | Role in Project | Begin Date | End Date |
|---|---|---|---|---|
| ISTAR-Iscte | Software Systems Engineering | Partner | 2019-09-17 | 2019-12-30 |
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| Name | Affiliation | Role in Project | Begin Date | End Date |
|---|---|---|---|---|
| Fernando Brito e Abreu | Professor Associado (DCTI); Integrated Researcher (ISTAR-Iscte); | Local Coordinator | 2019-09-17 | 2019-12-30 |
| Carlos Serrão | Professor Associado (DTDA); Integrated Researcher (ISTAR-Iscte); | Researcher | 2019-09-17 | 2019-12-30 |
| João Caldeira | Associate Researcher (ISTAR-Iscte); | Researcher | 2019-09-17 | 2019-12-30 |
| João Pedro Oliveira | Professor Associado (DCTI); Integrated Researcher (IT-Iscte); | Researcher | 2019-09-17 | 2019-12-30 |
| José Américo Alves Sustelo Rio | Associate Researcher (ISTAR-Iscte); | Researcher | 2019-09-17 | 2019-12-30 |
| José Pereira dos Reis | Professor Auxiliar (DCTI); Associate Researcher (ISTAR-Iscte); | Researcher | 2019-09-17 | 2019-12-30 |
| Reference/Code | Funding DOI | Funding Type | Funding Program | Funding Amount (Global) | Funding Amount (Local) | Begin Date | End Date |
|---|---|---|---|---|---|---|---|
| PT2020 – SAICT –PTDC/ICDT | -- | Contract | PT2020 - PTDC/ICDT - Portugal | 1 | 1 | 2019-09-17 | 2019-12-30 |
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With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific projects with the Sustainable Development Goals is now available in Ciência_Iscte. These are the Sustainable Development Goals identified for this project. For more detailed information on the Sustainable Development Goals, click here.
