3 results match your criteria: "Informatics Institute University of Amsterdam Amsterdam The Netherlands.[Affiliation]"

Toward a common standard for data and specimen provenance in life sciences.

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January 2024

Interdisciplinary Bank of Biomaterials and Data Würzburg (ibdw) Würzburg Germany.

Article Synopsis
  • The importance of openly sharing and reusing specimens and data in life sciences research is highlighted, as it directly affects the quality of findings and knowledge.
  • Accurate documentation of pre-analytical conditions, analytical procedures, and data processing is crucial to validate research results, but current information on sample and data provenance is often inadequate.
  • The publication discusses a standardization effort aimed at creating reliable machine-actionable documentation for data lineage and specimens, inviting experts from biotechnology and biomedical fields to contribute to this initiative.
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Evolution has traditionally been a historical and descriptive science, and predicting future evolutionary processes has long been considered impossible. However, evolutionary predictions are increasingly being developed and used in medicine, agriculture, biotechnology and conservation biology. Evolutionary predictions may be used for different purposes, such as to prepare for the future, to try and change the course of evolution or to determine how well we understand evolutionary processes.

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There lacks trust between the cloud customer and provider to enforce traditional cloud SLA (Service Level Agreement) where the blockchain technique seems a promising solution. However, current explorations still face challenges to prove that the off-chain SLO (Service Level Objective) violations really happen before recorded into the on-chain transactions. In this paper, a witness model is proposed implemented with smart contracts to solve this trust issue.

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