As part of the investigation done by the IEEE Standards Association P2957 Working Group, called Big Data Governance and Metadata Management, the use of persistent identifiers (PIDs) is looked at for tackling the problem of reproducible research and science. This short paper proposes a preliminary method using PIDs to reproduce research results using time-series data. Furthermore, we feel it is possible to use the methodology and design for other types of datasets.
@article{arxiv.2209.10475,
title = {Designing PIDs for Reproducible Science Using Time-Series Data},
author = {Wen Ting Maria Tu and Stephen Makonin},
journal= {arXiv preprint arXiv:2209.10475},
year = {2022}
}
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Submitted to MTSR 2022 - 16th International Conference on Metadata and Semantics Research