DataUp is a tool to help researchers manage, describe and archive their data. The DataUp tool comes in two forms: (1) an open-source add-in (extension) for Microsoft Excel and (2) a web application. Both have similar functionality:
1. Help the researcher describe their tabular data using a template. The resulting metadata is compatible with Ecological Metadata Language (EML), ensuring data are discoverable.
2. Help the researcher perform a “Best Practices Check” , where the tool will determine whether there are issues with the tabular data that might inhibit others’ use and understanding of it.
3. Guide the researcher through the process of posting their tabular data to a data repository. This will ensure long term preservation and access to the dataset for the benefit of the scientific community. Initially this repository will be ONEShare, a DataONE repository that is free and openly available to any researcher in the Earth, environmental, and ecological sciences.
Although we are targeting Earth, environmental, and ecological scientists, the DataUp tool will be useful for a wide range of researchers are using Excel spreadsheets as their primary data organization and management tool.
The features and capabilities of DataUp are based on a systematic collection of software requirements from the community. This included conversations with researchers, librarians, data centers, and software developers. Based on these conversations, we generated a set of requirements that guided DataUp’s development.
Who We Are
The DATAUP project is run through the University of California Curation Center (UC3) at California Digital Library , a division of the University of California Office of the President . UC3 members working on DATAUP include Carly Strasser , Trisha Cruse, John Kunze, Stephen Abrams, Perry Willett, and others.
Funders for the project are the Gordon and Betty Moore Foundation and Microsoft Research. DataUp will be part of the Investigator Toolkit for DataONE, an NSF DataNet project building cyberinfrastructure that links together existing archives of ecological and environmental scientific data.