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Progress in Biomedical Sciences and Raw Data: Ethical Dilemmas

  • David CasacubertaEmail author
  • Simone Tassani
Conference paper

Abstract

How do we assure that a scientific result is sound, that no fraud has been committed and we do guarantee scientific progress in this new era of big scientific data? In order to guarantee reproducibility, especially in the biomedical sciences one need to give access to third parties to analytical datasets (either raw or processed), software used, code developed by the researchers, a very detailed description of the methodology as well as all the relevant metadata. We want to argue that that sharing data is mandatory in order for science to progress. Each published paper should not be seen as an untouchable revealed truth, but as an opportunity of dialogue, confrontation and verification. This can be done only if all raw data are shared and each researcher has the right tools to reproduce an experiment.

Keywords

Scientific progress Reproducibility Epistemology of big data Raw data 

Notes

Acknowledgements

We would like to thanks Prof. Felicitas Kraemer, for her help and support during the early development of the study.

This work was partially supported by the European Community and the autonomous region of Catalonia through the project sMART-O (2013-BP-B-00096).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Philosophy DepartmentUniversitat Autonoma de BarcelonaBarcelonaSpain
  2. 2.Department of Information and Communication TechnologiesUniversitat Pompeu FabraBarcelonaSpain

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