Providing for transparency in social science research
LDI houses a number of projects focused on reproducibility, replicability, and transparency in the computational social sciences.
Our projects examine how to implement reasonable systems that integrate verification practice in from the project initiation through publication of research products.
In addition to specifying and promulgating best practices for verification packages, we consider how to best accommodate reproducibility and replicability in the everyday expectations of researchers.
- How, when, and what to include in training students to conduct research that intuitively includes replicability and replication.
- What documentation standards to adopt, which authorities to superintend them, and who pays for the process.
- Where to maintain verification archives from funders, to research institutions, to research libraries, to publications themselves.
The purpose of scientific publishing is the dissemination of robust research findings, exposing them to the scrutiny of peers and other interested parties. To offer productive scrutiny scientific articles should accurately and completely provide information on the origin and provenance of data and on the analytical and computational methods used.