Active Maintenance: A Proposal for the Long-term Computational Reproducibility of Scientific Results

ISPS Data Archive: Terms of Use

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ISPS ID: 
D169
Suggested citation: 

Peer, Limor , Lilla Orr, Alexander Coppock (2021). Replication Materials for, “Active Maintenance: A Proposal for the Long-Term Computational Reproducibility of Scientific Results.” http://hdl.handle.net/10079/f76391e5-fce9-4ff7-84f5-78583441576b. ISPS Data Archive.

Related publications: 
Active Maintenance: A Proposal for the Long-Term Computational Reproducibility of Scientific Results
Keyword(s): 
Reproducibility
Data sharing
computational reproducibility
Author(s): 

Limor Peer, Lilla Orr, Alexander Coppock

Research design: 
Observational
Data source(s): 

ISPS Data Archive

Data source information: 

isps(at)yale(dot)edu

Field Date: 
2019-12 - 2020-03
Location: 
N/A
Location details: 
N/A
Unit of observation: 
Other
Sample size: 
20
Inclusion/exclusion: 
All studies published in the ISPS Data Archive in December 2019
Randomization procedure: 
N/A
Treatment: 
N/A
Treatment administration: 
Not applicable
Outcome measures: 
Successful computational reproducibility
Archive date: 
2021
Owner contact: 

isps(at)yale(dot)edu

Terms of use: 

ISPS Data Archive: Terms of Use .

Related database: 
Harvard Dataverse at DOI:10.7910/DVN/JLLFGK.
Discipline: 
Interdisciplinary
Area of study: 
Methodology
Data file numbersort ascending Description File format Size File url
D169F03 Metadata (DDI 3.2) .xml 184029 Download file
D169F02 Codebook .txt 3226 Download file
D169F01 Data file .csv 3970 Download file