Preserving Data for the Future : Research Data Management in an Academic Library Consortium. Alan Darnell. PASIG 2016.
A presentation about managing and preserving data. Three major points:
1. Get the Data. Important to get the data as soon as possible. The Availability of research data declines rapidly; time is the enemy of preservation.
2. Preserve the Data. The goal is to automated the transfer of data to a secure repository, in this case from Dataverse to Archivematica. There are issues that need to be resolved, such as scalability, file size, increasing volume of materials, unrecognized file types, etc. There are tools that can help. The AIPs in a repository need continued management, formats, checksums.
3. Ensure that the Data is Usable. Reproducibility of results is a key measure of the usability of data. The data management process needs to capture more of the context of the research process that created the data, including software, metadata, all research materials, including notebooks. A Data management plan is important in this process.
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