ALBERT

Description: Many in the scientific community, particularly in publicly funded research, are pushing to adhere to more accessible data standards to maximize the findability, accessibility, interoperability, and reusability (FAIR) of scientific data, especially with the growing prevalence of machine learning augmented research. Online FAIR data repositories, such as the Open Science Framework (OSF), help facilitate the adoption of these standards by providing frameworks for storage, access, search, APIs, and other features that create organized hubs of scientific data. However, the wider acceptance of such repositories is hindered by the lack of support of hierarchical data formats, such as Technical Data Management Streaming (TDMS) and Hierarchical Data Format 5 (HDF5), that many researchers rely on to organize their datasets. Various tools and strategies should be used to allow hierarchical data formats, FAIR data repositories, and scientific organizations to work more seamlessly together. A pilot project at Los Alamos National Laboratory (LANL) addresses the disconnect between them by integrating the OSF FAIR data repository with hierarchical data renderers, extending support for additional file types in their framework. The multifaceted interactive renderer displays a tree of metadata alongside a table and plot of the data channels in the file. This allows users to quickly and efficiently load large and complex data files directly in the OSF webapp. Users who are browsing files can quickly and intuitively see the files in the way they or their colleagues structured the hierarchical form and immediately grasp their contents. This solution helps bridge the gap between hierarchical data storage techniques and FAIR data repositories, making both of them more viable options for scientific institutions like LANL which have been put off by the lack of integration between them.

Description: The use of distributed ledger technology-based tools and smart contracts for customs compliance purposes subjects the idea of a “declarant” or “declaration” to potential re-characterization.〈div class="enclosure"〉〈/div〉

Description: Themed web archive collections exist to make sense of archived web pages (mementos). Some collections contain hundreds of thousands of mementos. There are many collections about the same topic. Few collections on platforms like Archive-It include standardized metadata. Reviewing the documents in a single collection thus becomes an expensive proposition. Search engines help find individual documents but do not provide an overall understanding of each collection as a whole. Visitors need to be able to understand what individual collections contain so they can make decisions about individual collections and compare them to each other. The Dark and Stormy Archives (DSA) Project applies social media storytelling to a subset of a collection to facilitate collection understanding at a glance. As part of this work, we developed the DSA Toolkit, which helps archivists and visitors leverage this capability. As part of our recent International Internet Preservation Consortium (IIPC) grant, Los Alamos National Laboratory (LANL) and Old Dominion University (ODU) piloted the DSA toolkit with the National Library of Australia (NLA). Collectively we have made numerous improvements, from better handling of NLA mementos to native Linux installers to more approachable Web User Interfaces. Our goal is to make the DSA approachable for everyone so that end-users and archivists alike can apply social media storytelling to web archives.

Description: The Author's NFT projects show how NFTs are de facto securities, reflect on the history of securities art, investigate what it means to own an NFT, and illustrate the copyright puzzles posed by NFTs.〈div class="enclosure"〉〈/div〉