CCSS Research Support assists with research work all along the way, whether analyzing your data or reproducing your analysis for publication, we are here for you! . We can also provide data-related services for research projects, from supporting a project team to providing direct data-related services on a sponsored project.

Analyzing Data

CCSS-RS supports researchers through the data analytics process of evaluating, inspecting, cleansing, and transforming data to meet their research objectives.

Reproducing Your Results Prior to Publication
The CCSS-RS Results Reproduction (R-squared) service certifies the reproducibility of their study prior to publication and documenting it to make it easy and independently understandable for re-users.   The R-squared service will reproduce the results of revise-and-resubmit papers prior to submission of the final manuscript, certify its reproducibility, package the replication materials for dissemination, and create a catalog, DOI, and store its associated replication materials on the CISER Data & Reproduction Archive, should the publisher not have a preferred repository to deposit the study’s replication materials.

Several current research projects supported by CCSS-RS:

Freedom on the Move (FOTM)
Freedom on the Move creates a digital database of all surviving runaway ads from the historical period of North American slavery.  This database permits multiple kinds of analysis and is accessible to the general public.

CCSS-RS serves as both a resource and contributor to the Freedom on the Move project, providing expertise in the domains of archival and statistical analysis.

Additionally,the lead Software Engineer at CCSS-RS serves as technical lead and a member of key personnel on the grants the project has received. The breadth of knowledge provided by CCSS-RS as a whole along with the technical abilities of the lead Software Engineer will drive the Freedom on the Move project to be a leading resource of the North American Slave Trade.

Curating for Reproducibility (CURE)
Curating for Reproducibility (CURE) is a consortium of academic institutions that support data quality review, a framework that includes research data curation and code review. The main goal of the consortium is to bring together a range of stakeholders to establish the standards and promote the philosophy of data quality review.

CCSS-RS is a co-founder of the consortium along with University of North Carolina’s Odum Institute and Yale University’s Institution for Social and Policy Studies.

CCSS-RS eCommons
CCSS-RS eCommons is a citation database for research conducted using CCSS-RS resources.
Poverty Risk Calculator
The Poverty Risk Calculator calculates the risk of falling below various levels of poverty during the next 5, 10, or 15 years.

CCSS-RS was responsible for integrating the multiple waves of PSID data and generating the estimates of the likelihood of experiencing poverty given a combination education, marital status, race, gender, and age used by the calculator.

NCRN Cornell
NCRN Cornell is part of the NSF-Census Research Network and provides integrated research support, training and Data Documentation in the context of confidential data and metadata.

CCSS-RS senior staff and programmers are actively engaged in the activities of NCRN and in the development of the Comprehensive Extensive Data Documentation and Access Repository (CED2AR) which creates and makes viewable highly restricted metadata of data residing in highly restricted environments such as the FSRDC.