Originally presented to the 2017 Annual International Association for Social Science Information Services & Technology (IASSIST) Conference, Lawrence, KS.Recommended citation: Butler, C. R. & Currier, B. D. (2017). You can’t replicate what you can’t find: Data preservation policies in economic journals. Presentation to the 2017 Annual International Association for Social Science Information Services & Technology (IASSIST) Conference, Lawrence, KS. Accessed through LIS Scholarship Archive. Available at http://doi.org/10.17605/OSF.IO/HF3DSThis presentation will review digital preservation strategies of economic journals that have data availability policies. Long-term data preservation is critical for future reproducibility of economic research. A greater focus is being placed on making research data publicly available, but there is a dearth of official policies and discussion in the literature concerning preservation. A sampling of over 250 economics journals was developed by cross-referencing journal impact factors, h5-indices, IDEAS rankings, and Federal Reserve Bank of Kansas City staff authorship and service to the journal. This sampling analyzes whether data preservation policies are present either independently or as part of a larger data availability policy. Preliminary results indicate that while data availability policies are becoming much more common, data preservation policies are practically nonexistent. This has strong implications for future research reproducibility. In response, the Federal Reserve Bank of Kansas City is developing an institutional data preservation platform as an alternative solution.

Originally presented to the National Digital Stewardship Alliance Digital Preservation 2018 (DigiPres), Las Vegas, NV.Recommended citation: Currier, B. D. & Butler, C. R. (2018). The Gold (AU)DRIPSS Framework: Factors for a Maturing Digital Preservation Strategy. Presentation to the National Digital Stewardship Alliance Digital Preservation 2018 (DigiPres), Las Vegas, NV. Accessed through LIS Scholarship Archive. Available at http://doi.org/10.31229/osf.io/fecwu As archivists, librarians, and preservationists develop and implement digital preservation strategies, they are often faced with choices and tradeoffs that are difficult to articulate to stakeholders. In this presentation, we will discuss the Gold (AU)DRIPSS framework as a way to consider prioritizing different goals and discuss those goals with stakeholders.

This session brings various perspectives together on how research institutions think about publishing replication packages themselves, i.e., not a journal or generalist repository. Panelists come from a university with a specialized, university-centred data repository; from a Federal Reserve Bank with an active researcher community, and from a non-profit (non-academic) research institution. Each faces the requirements of varied internal researchers, external visibility, and differing audiences. The panelists can all speak to how a research institution makes decision about the degree of transparency, and how much of that to do with internal resources.

Originally presented to the U.S. Census Bureau Center for Economic Studies.Recommended citation: Butler, C. R. (2018). Practical Data Curation for Reproducibility. Presentation to the U.S. Census Bureau Center for Economic Studies, Washington, D.C. Accessed through LIS Scholarship Archive. Available at http://doi.org/10.31229/osf.io/fp8cd (Invited Speaker)This presentation will review incentives for researchers to engage in reproducibility and data sharing practices and offer practical solutions for metadata, file handling, preservation, and licensing issues. It will focus on pragmatic motivations and methods for integrating reproducibility concepts into existing processes.

Originally presented to the NDSA and Digital Preservation 2017, Pittsburgh, PA.Recommended citation: Currier, B. D., Kim, B., Edwards, C., & Butler, C. R. (2017). Research Data Preservation. Presentation at the NDSA and Digital Preservation 2017, Pittsburgh, PA. Accessed through LIS Scholarship Archive. Available at https://dx.doi.org/10.17605/OSF.IO/J7MEUWe are implementing a data preservation system, Preservica, to support transparent and reproducible research at our institution. This presentation gives preliminary recommendations for curating supplemental files.