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1. Mediating language documentation

   Holton, Gary (January 2014, Language documentation and description)

   Bridging the gap between access and usage requires that archive resources be MEDIATED so that they become not only accessible to user communities but also relevant. The concept of mediation as discussed here is in some ways similar to what Nathan (2006) describes as mobilization. However, unlike mobilization, mediation does not require that archive resources be transformed but only that they be presented in a way that they become more relevant. While mobilization involves the creation of derivative products, mediation can be as simple as enriching metadata descriptions with relevant fields or highlighting particularly useful resources within large collections. In particular, mediation requires that the archive knows and works closely with its user community. 

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2. Training communities in documentation and technology: The Language Documentation Training Center model

   Sou, Jennifer; Pappas, Leah; Khairunnisa; Holton, Gary (August 2023, Language documentation and conservation)

   Language documentation is increasingly seen as a collaborative process, engaging community members as active participants. Collaborative research produces better documentation that is valuable for both the academic community and the speakers. However, in many communities, speakers and language advocates lack the skills necessary to fully engage in collaborative projects. One way to overcome this barrier is to provide language documentation training to community members. Such training should teach participants how to ethically and comprehensively complete every stage of the documentation process while offering opportunity for theoretical discussion and practical application. In this paper, we offer one possible model for community-based training in language documentation and conservation that focuses on bidirectional learning and capacity building. We describe a training workshop that was held in 2018 in Kupang, the capital of Indonesia’s Nusa Tenggara Timur (NTT) province. A collaboration between the University of Hawai‘i, Leiden University, and Artha Wacana Christian University, this workshop implemented a model based on the practices of the Language Documentation Training Center (LDTC), an organization devoted to training speakers to document their own languages. We detail the NTT workshop itself, summarize post-workshop feedback, and offer suggestions to others looking to provide similar training in speaker communities. 

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3. Towards Automated Configuration Documentation

   https://doi.org/10.1145/3691620.3695311  

   Ahmmed, Jobayer; Cohen, Myra B; Gazzillo, Paul (October 2024, ACM)
4. DataSense: Display Agnostic Data Documentation

   Kumari, Poonam; Brachmann, Michael; Kennedy, Oliver; Feng, Su; Glavic, Boris (January 2021, Conference on Innovative Data Systems Research)

   Boncz, Peter; Ozcan, Fatma; Patel, Jignesh (Ed.)

   Documentation of data is critical for understanding the semantics of data, understanding how data was created, and for raising aware- ness of data quality problem, errors, and assumptions. However, manually creating, maintaining, and exploring documentation is time consuming and error prone. In this work, we present our vi- sion for display-agnostic data documentation (DAD), a novel data management paradigm that aids users in dealing with documenta- tion for data. We introduce DataSense, a system implementing the DAD paradigm. Specifically, DataSense supports multiple types of documentation from free form text to structured information like provenance and uncertainty annotations, as well as several display formats for documentation. DataSense automatically computes documentation for derived data. A user study we conducted with uncertainty documentation produced by DataSense demonstrates the benefits of documentation management. 

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5. DataSense: Display-Agnostic Data Documentation

   Kumari, Poonam; Brachmann, Michael; Kennedy, Oliver; Feng, Su; Glavic, Boris (January 2021, Conference on Innovative Data Systems Research)

   null (Ed.)

   Documentation of data is critical for understanding the semantics of data, understanding how data was created, and for raising awareness of data quality problem, errors, and assumptions. However, manually creating, maintaining, and exploring documentation is time consuming and error prone. In this work, we present our vision for display-agnostic data documentation (DAD), a novel data management paradigm that aids users in dealing with documentation for data. We introduce DataSense, a system implementing the DAD paradigm. Specifically, DataSense supports multiple types of documentation from free form text to structured information like provenance and uncertainty annotations, as well as several display formats for documentation. DataSense automatically computes documentation for derived data. A user study we conducted with uncertainty documentation produced by DataSense demonstrates the benefits of documentation management. 

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