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34 lines
2.3 KiB
TeX
34 lines
2.3 KiB
TeX
\section{Related Work}
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\label{sec:related}
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\subsection{Reproducibility Infrastructure}
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Computational reproducibility has received substantial infrastructure investment.
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Workflow management systems such as Nextflow \citep{ditommaso2017nextflow}, Snakemake \citep{molder2021sustainable}, and Galaxy \citep{afgan2018galaxy} capture analysis pipelines as executable specifications.
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Container technologies (Docker, Singularity) preserve software environments.
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\citet{stodden2018empirical} found that even with these tools, only 26\% of computational results in published papers could be independently reproduced, primarily due to missing data, undocumented parameters, and environment-specific dependencies.
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\subsection{Pre-Registration and Open Science}
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Pre-registration requires researchers to specify hypotheses and analysis plans before data collection \citep{nosek2018preregistration}.
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Registered Reports extend pre-registration by committing journals to publish results regardless of outcome \citep{chambers2013registered}.
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While effective at reducing publication bias, these mechanisms rely on voluntary compliance and centralized platforms susceptible to single points of failure.
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\subsection{Blockchain for Science}
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Blockchain applications in science have focused on several areas: timestamping research claims \citep{koepsell2020blockchain}, managing intellectual property \citep{hasan2019blockchain}, decentralized peer review \citep{tenorio2019open}, and funding through decentralized autonomous organizations \citep{wright2021desci}.
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\citet{bartling2020blockchain} surveyed the landscape and identified experiment management and reproducibility verification as underexplored application domains.
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\subsection{Provenance Systems}
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Data provenance systems track the lineage of computational artifacts.
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The W3C PROV specification \citep{moreau2013prov} provides a standard data model for provenance.
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\citet{mcphillips2015yesworkflow} introduced YesWorkflow for extracting provenance from scripts.
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ProvDB \citep{miao2018provdb} stores provenance alongside data in relational databases.
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These systems operate within single organizations and lack mechanisms for cross-institutional verification or economic incentive alignment.
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% ============================================================
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% 3. Protocol Design
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% ============================================================
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