The following policy applies to research supported by CCSS.
To ensure that research and data are open and available to support cumulative gains in social scientific knowledge, all CCSS funded projects must provide a statement describing plans to archive data and/or replication materials in an appropriate and permanent archive, such as CCSS’s Data & Reproduction Archive, the Inter-university Consortium for Political and Social Research (ICPSR), the Roper Center for Public Opinion Research, or the Qualitative Data Repository (QDR), or a brief statement explaining why archiving is not possible. In addition, CCSS are members of the Qualitative Data Repository and ICPSR, which provides access to their curation services. The CCSS data replication policy satisfies Cornell’s Research Data Retention Policy (4.21). In cases where a researcher receives a full or partial exception from the CCSS data replication requirements (e.g., due to proprietary data or other considerations), Cornell Policy 4.21 must still be followed. We encourage applicants to consult with CCSS’s Data Archive Specialist, Jonathan Bohan, if you have questions. Published analysis includes books, academic articles, and more popular outlets such as op-eds and blog posts. CCSS also strongly encourages pre-registration of all research with the goal of hypothesis testing.
CCSS’ goal is to make research as open and transparent as possible. However, in some cases, data and/or research materials cannot be archived or made available. If this applies to your research or a portion of your research, please explain why this is the case in your proposal. Suppose data/materials can only be archived as restricted data sets. In that case, replication/reproduction materials should be made available, and, if appropriate, a third-party reviewer should verify the code or analysis guidelines reproduce all results.
Preregistering research means the research plan is specified in advance and submitted to a registry, such as the Center for Open Science. CCSS strongly recommends pre-registration of all confirmatory (i.e., hypothesis-testing) research and requests that such details are included in grant proposals when relevant.
For support with data archiving best practices and recommendations, contact CCSS-ResearchSupport@cornell.edu. CCSS can also help you archive your data, and you can include the cost of verifying and archiving your results in internal and external grants. Contact us for pricing details.