bead: A Data Provenance Tool for Diverse Teams

Reproducing research results requires knowing exactly which version of the data was used and understanding the steps taken to clean and analyse it. This can be challenging in distributed environments with many contributors. bead (https://bead.zip) is a simple command-line tool and archive format that systematically documents data workflows. Each saved "bead" captures a single processing step: the input data (via unique references), the code used, and the resulting outputs—whether cleaned datasets, visualisations, or reports. By recording these steps and linking them via input references, bead facilitates easy review, maintenance, and re-execution of computations, while also fostering collaboration. This talk will begin by introducing the problem, followed by a demo/presentation of the tool, and will conclude with a discussion of its long-term application in Economics research at Central European University.A recording of this session is available on YouTube: https://youtu.be/RB2SIzyoDcg

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-17
DOI
https://doi.org/10.5281/zenodo.17967406
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

bead: A Data Provenance Tool for Diverse Teams

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

bead: A Data Provenance Tool for Diverse Teams

article en

Abstract

Reproducing research results requires knowing exactly which version of the data was used and understanding the steps taken to clean and analyse it. This can be challenging in distributed environments with many contributors. bead (https://bead.zip) is a simple command-line tool and archive format that systematically documents data workflows. Each saved "bead" captures a single processing step: the input data (via unique references), the code used, and the resulting outputs—whether cleaned datasets, visualisations, or reports. By recording these steps and linking them via input references, bead facilitates easy review, maintenance, and re-execution of computations, while also fostering collaboration. This talk will begin by introducing the problem, followed by a demo/presentation of the tool, and will conclude with a discussion of its long-term application in Economics research at Central European University.A recording of this session is available on YouTube: https://youtu.be/RB2SIzyoDcg

Zenodo (CERN European Organization for Nuclear Research)
Weatherford College (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Scientific Computing and Data Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.