Suchergebnisse

More Data, Less Process? The Applicability of MPLP to Research Data

In this poster, we illustrate the workflow developed by the Odum Institute for Research in Social Science Data Archive to support the curation and verification of replication data files for the American Journal of Political Science.

Scientific reproducibility has captured the attention of academics, technologists, government agencies, private funders, and the public. We focus on computational reproducibility -- the ability to obtain the same results from the data and code used in the original study -- for two reasons. One, computational reproducibility is essential for understanding the complete scholarly record. Two, as data managers and archivists, we strongly feel that a test of computational reproducibility should factor into decisions about preserving and sharing these materials. Repositories have a responsibility to ensure the materials comprising the scholarly record can be used as expected in the long term. We advocate for curating for reproducibility (CURE), which involves activities that ensure that statistical and analytic claims about given data can be reproduced with that data. This 3-hour workshop is intended for librarians, data curators, and researchers of diverse professional backgrounds and experience. Participants will be introduced to the topic of curating for reproducibility, hear perspectives from three institutions practicing curating for reproducibility; learn about the CURE workflow and how to curate for reproducibility using YARD, a curation tool, using examples and hands-on activities. Participants will be invited to test YARD and deposit their own data and code.

In response to widespread concerns about the integrity of research published in scholarly journals, several initiatives have emerged that are promoting research transparency through access to data underlying published scientific findings. Journal editors, in particular, have made a commitment to research transparency by issuing data policies that require authors to submit their data, code, and documentation to data repositories to allow for public access to the data. In the case of the American Journal of Political Science (AJPS) Data Replication Policy, the data also must undergo an independent verification process in which materials are reviewed for quality as a condition of final manuscript publication and acceptance. Aware of the specialized expertise of the data archives, AJPS called upon the Odum Institute Data Archive to provide a data review service that performs data curation and verification of replication datasets. This article presents a case study of the collaboration between AJPS and the Odum Institute Data Archive to develop a workflow that bridges manuscript publication and data review processes. The case study describes the challenges and the successes of the workflow integration, and offers lessons learned that may be applied by other data archives that are considering expanding their services to include data curation and verification services to support reproducible research.