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1. Growing New Scholarly Communication Infrastructures for Sharing, Reusing, and Synthesizing Knowledge

   https://doi.org/10.1145/3500868.3559398  

   Chan, Joel; Lutters, Wayne; Schneider, Jodi; Kirsanow, Karola; Bessa, Silvia; Saunders, Jonny L. (November 2022, CSCW'22 Companion: Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing)

   Sharing, reuse, and synthesis of knowledge is central to the research process. These core functions are in theory served by the system of monographs, abstracts, and papers in journals and proceedings, with citation indices and search databases that comprise the core of our formal scholarly communication infrastructure; yet, converging lines of empirical and anecdotal evidence suggest that this system does not adequately act as infrastructure for synthesis. Emerging developments in new institutions for science, along with new technical infrastructures and tooling for decentralized knowledge work, offer new opportunities to prototype new technical infrastructures on top of a different installed base than the publish or perish, neoliberal academy. This workshop aims to integrate these developments and communities with CSCW’s deep roots in knowledge infrastructures and collaborative and distributed sensemaking, with new developments in science institutions and tooling, to stimulate and accelerate progress towards prototyping new scholarly communication infrastructures that are actually optimized for sharing, reusing, and synthesizing knowledge. 

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2. To connect is to preserve: on frugal data integration and preservation solutions, 10.17605/OSF.IO/A2V8G

   Poelen, J. H. (January 2019, Society for Preservation of Natural History Collections (SPNHC) Annual Meeting. Chicago)

   The deluge of digital biodiversity datasets unleashed through institutional, national and global infrastructures brings up an inconvenient truth: internet-connected infrastructures are in a constant state of flux while preservation and integration of digital knowledge are often afterthoughts. Rather than taking digital amnesia for granted, we examine examples of durable and frugal digital data preservation and integration methods. Examples include tracking external datasets, creating verifiable data citations, cross-publishing and cross-linking datasets, reproducing data-integration processes, and distributing large data archives across poor, or nonexistent, internet connections. Topics include cryptographic hashes, Provenance Ontology, content-addressed storage, Unix philosophy, and offline first design as applied in projects like Preston (https://preston.guoda.bio) and Global Biotic Interactions (https://globalbioticinteractions.org). The examples are then related to best practices applied by proven knowledge-preservation experts: librarians and curators. 

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3. Scholarly Very Large Data: Challenges for Digital Libraries

   Jian Wu, C. Lee (April 2020, Large Scale Networking (LSN) Workshop on Huge Data: A Computing, Networking and Distributed Systems Perspective)

   The volume of scholarly data has been growing exponentially over the last 50 years. The total size of the open access documents is estimated to be 35 million by 2022. The total amount of data to be handled, including crawled documents, production repository, metadata, extracted content, and their replications, can be as high as 350TB. Academic digital library search engines face significant challenges in maintaining sustainable services. We discuss these challenges and propose feasible solutions to key modules in the digital library architecture including the document storage, data extraction, database and index. We use CiteSeerX as a case study. 

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4. Scholarly Very Large Data: Challenges For Digital Libraries

   Jian Wu, C Lee (April 2020, Large Scale Networking (LSN) Workshop on Huge Data: A Computing, Networking and Distributed Systems Perspective)

   The volume of scholarly data has been growing exponentially over the last 50 years. The total size of the open access documents is estimated to be 35 million by 2022. The total amount of data to be handled, including crawled documents, production repository, metadata, extracted content, and their replications, can be as high as 350TB. Academic digital library search engines face significant challenges in maintaining sustainable services. We discuss these challenges and propose feasible solutions to key modules in the digital library architecture including the document storage, data extraction, database and index. We use CiteSeerX as a case study. 

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5. Scholarly Very Large Data: Challenges For Digital Libraries

   Jian Wu, C Lee (April 2020, Challenges For Large Scale Networking (LSN) Workshop on Huge Data: A Computing, Networking and Distributed Systems Perspective)

   The volume of scholarly data has been growing exponentially over the last 50 years. The total size of the open access documents is estimated to be 35 million by 2022. The total amount of data to be handled, including crawled documents, production repository, metadata, extracted content, and their replications, can be as high as 350TB. Academic digital library search engines face signi cant challenges in maintaining sustainable services. We discuss these challenges and propose feasible solutions to key modules in the digital library architecture including the document storage, data extraction, database and index. We use CiteSeerX as a case study. 

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