Objective: This poster will describe the development of a curatorial system to support a repository for research data from randomized controlled trials in the social sciences. Description: The Institution for Social and Policy Studies (ISPS) at Yale University and Innovations for Poverty Action (IPA) are partnering with Colectica to develop a software platform that structures the curation workflow, including checking data for confidentiality and completeness, creating preservation formats, and reviewing and verifying code. The software leverages DDI Lifecycle – the standard for data documentation – and will enable a seamless framework for collecting, processing, archiving, and publishing data. This data curation software system combines several off-the-shelf components with a new, open source, Web application that integrates the existing components to create a flexible data pipeline. The software will help automate parts of the data pipeline and will unify the workflow for staff, and potentially for researchers. Default components include Fedora Commons, Colectica Repository, and Drupal, but the software is developed so each of these can be swapped for alternatives. Results: The software is designed to integrate into any repository workflow, and can also be incorporated earlier in the research workflow, ensuring eventual data and code deposits are of the highest quality. Conclusions: This poster will describe the requirements for the new curatorial workflow tool, the components of the system, how tasks are launched and tracked, and the benefits of building an integrated curatorial system for data, documentation, and code.

Objective: To describe the process and challenges of creating a replication data archive at the Institution for Social and Policy Studies (ISPS) at Yale University. The Archive provides open access to research data, links data to publications, and ultimately facilitates reproducibility. Description: The ISPS Data Archive is a digital repository for research produced by scholars affiliated with ISPS, with special focus on experimental design and methods. The primary goal of the Archive is to be used for replicating research results, i.e. by using author-provided code and data. The Archive was launched in September 2010 as a pilot for Yale’s Office of Digital Assets and Infrastructure (ODAI) to find solutions relating to storage, persistent linking, long-term preservation, and integration with a developing institutional repository. Results: Before data publication, Archive staff processes data and code files, including verifying replication, adding metadata, and converting to CSV and R. To date, the ISPS Data Archive has published over 750 files for about 45 studies. Conclusions: The development and implementation of the ISPS Data Archive, though outside the library, raises issues familiar to librarians: the need for clear policies from the institution; the challenge of finding support for the provision of high quality services; the complexity of working in close partnership with IT; the need to keep up with fast-paced changes in technology and in user expectations; and the challenge of bringing about change in community norms and practices. Alongside these practical issues, fundamental questions arise about the appropriate role of the university vs. the disciplines when it comes to data archiving, especially in light of the need to comply with requirements from funders and journals. Related publication: http://www.ijdc.net/index.php/ijdc/article/view/212