Sharing research data in a repository such as Dataverse has become an important requirement by many journals and funding agencies and provides a key activity in producing reproducible research. Likewise, leveraging existing research data for new research can prevent duplicating expensive and sometimes tedious projects to collect data.
Open source tools like Dataverse and Open OnDemand (Sid), both in active development [SY1] by IQSS, currently offer tools needed by researchers. Dataverse makes it easier to share data with researchers across Harvard and the world. Open OnDemand enables researchers to easily run scientific applications on high-performance computing servers from a web interface.
However, since these are two unique tools that run on separate systems, researchers need to be aware of both tools and how to translate the output of one to the other and vice versa. Integrating these tools by offering visible easy-to-use buttons on the Open OnDemand dashboard would encourage researchers to share their data and reproducible workflows (e.g. R, python or Stata scripts) in Dataverse.
Funded by an FAS-HUIT Project Review Board (PRB) grant, this project will deliver a working proof-of-concept demonstrating the integration of OOD and Dataverse.
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