Reproducible research in linguistics: A position statement on data citation and attribution in our field

Authors: Andrea L. Berez-Kroeker, Lauren Gawne, Susan Smythe Kung, Barbara F. Kelly, Tyler Heston, Gary Holton, Peter Pulsifer, David I. Beaver, Shobhana Chelliah, Stanley Dubinsky, Richard P. Meier, Nick Thieberger, Keren Rice and Anthony C. Woodbury

Abstract: This paper is a position statement on reproducible research in linguistics, including data citation and attribution, that represents the collective views of some 41 colleagues. Reproducibility can play a key role in increasing verification and accountability in linguistic research, and is a hallmark of social science research that is currently under-represented in our field. We believe that we need to take time as a discipline to clearly articulate our expectations for how linguistic data are managed, cited, and maintained for long-term access.

Citation: Berez-Kroeker, A., Gawne, L., Kung, S., et al. (2017). Reproducible research in linguistics: A position statement on data citation and attribution in our field. Linguistics, 56(1), pp. 1-18. Retrieved 16 Apr. 2018, from doi:10.1515/ling-2017-0032

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Source: Reproducible research in linguistics: A position statement on data citation and attribution in our field

Data We Trust—But What Data?

Author: Jennifer Golbeck

Abstract: The Obama administration’s time saw massive amounts of government data shifting online. It can be hard to remember the landscape back in 2008, when very few people had smartphones, and Facebook had fewer than 150 million users—less than 10 percent of its current size.1 We were just starting to grapple with all the data that was becoming available. The administration embraced the trend. They launched data.gov, a project designed to serve as a repository of important data sets from the federal government. Agencies followed suit, uploading their data or creating their own repositories. Databases, websites, and all sorts of content became accessible online. It appeared we were entering a golden age of open data, where citizens would have access to the raw data that their tax dollars funded, that fueled policy decisions, and that affected their lives. The movement of government data to the web improved transparency and fueled research to complement official sources.

Citation: Golbeck, Jennifer. “Data We Trust—But What Data?” Reference & User Services Quarterly 57, no. 3 (March 16, 2018): 196–99. https://doi.org/10.5860/rusq.57.3.6605.

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Source: Data We Trust—But What Data?

Spotlight on Digital Government Information Preservation: Examining the Context, Outcomes, Limitations, and Successes of the DataRefuge Movement

Author: Eric Johnson and Alicia Kubas

Abstract: Access and preservation of online government data and information has been a long-standing and complex issue for librarians in government information librarianship, but it has recently started to receive attention on a larger level from the media, public, and libraries in general. The most recent initiative to archive digital government data was the DataRefuge movement in 2016 and 2017, which sponsored DataRescue events where people came together to capture static webpages and harvest dynamic online content for preservation purposes. This article examines the history and context of print and digital government information preservation initiatives and then focuses in on the DataRefuge movement to discuss its outcomes, limitations, and successes in light of long-term preservation and public access.

Citation: Johnson, E. and Kubas, A (2018). “Spotlight on Digital Government Information Preservation: Examining the Context, Outcomes, Limitations, and Successes of the DataRefuge Movement”. In The Library With The Lead Pipe. http://www.inthelibrarywiththeleadpipe.org/2018/information-preservation/

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Source: In the Library With The Lead Pipe

What Do Data Librarians Think of the MLIS? Professionals’ Perceptions of Knowledge Transfer, Trends and Challenges

Authors: Camille V. L. Thomas, Richard J. Urban

Abstract: There are existing studies on data curation programs in library science education and studies on data services in libraries. However, there is not much insight into how educational programs have prepared data professionals for practice. This study asked 105 practicing professionals how well they thought their education prepared them for professional experience. It also asked supervisors about their perceptions of how well employees performed. After analyzing the results, the investigators of this study found that changing the educational model may lead to improvements in future library data services.

Citation: Thomas, Camille V. L., and Richard J. Urban. “What Do Data Librarians Think of the MLIS? Professionals’ Perceptions of Knowledge Transfer, Trends and Challenges.” Pre-print. College & Research Libraries. 2017. http://crl.acrl.org/index.php/crl/article/view/16726.

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The Digital Archiving of Endangered Language Oral Traditions: Kaipuleohone at the University of Hawai‘i and C’ek’aedi Hwnax in Alaska

Author: Andrea L. Berez

Abstract: This essay compares and contrasts two small-scale digital endangered language archives with regard to their relevance for oral tradition research. The first is a university-based archive curated at the University of Hawai‘i, which is designed to house endangered language materials arising from the fieldwork of university researchers. The second is an indigenously-administered archive in rural Alaska that serves the language maintenance needs of the Ahtna Athabaskan Alaska Native community.

Citation: Berez, Andrea L. “The Digital Archiving of Endangered Language Oral Traditions: Kaipuleohone at the University of Hawai’i and C’ek’aedi Hwnax in Alaska.” Oral Tradition 28.2 (2013).

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Reproducible research in descriptive linguistics: integrating archiving and citation into the postgraduate curriculum at the University of Hawai’i at Mānoa

Author: Andrea L. Berez

Abstract: The notion of reproducible research has received considerable attention in recent years from physical scientists, life scientists, social and behavioural scientists, and computational scientists. Some readers will be familiar with the criterion of replicability as a tenet of good execution of the scientific method, in which sound scientific experiments or studies are those that can be recreated elsewhere leading to new data, and in which sound scientific claims are those that are confirmed by the new data in a replicated study.

Citation: Berez, A. (2015). Reproducible research in descriptive linguistics: integrating archiving and citation into the postgraduate curriculum at the University of Hawai’i at Mānoa. In A. Harris, N. Thieberger & L. Barwick (Eds.) ‘Research, records and responsibility: ten years of PARADISEC’ (pp. 39-51). Sydney: Sydney University Press.

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The research librarian of the future: data scientist and co-investigator

Authors: Jeannette Ekstrøm, Mikael Elbaek, Chris Erdmann and Ivo Grigorov

Abstract: There remains something of a disconnect between how research librarians themselves see their role and its responsibilities and how these are viewed by their faculty colleagues. Jeannette Ekstrøm, Mikael Elbaek, Chris Erdmann and Ivo Grigorov imagine how the research librarian of the future might work, utilising new data science and digital skills to drive more collaborative and open scholarship. Arguably this future is already upon us but institutions must implement a structured approach to developing librarians’ skills and services to fully realise the benefits.

Citation: Jeannette Ekstrøm, Mikael Elbaek, Chris Erdmann and Ivo Grigorov. (2016). The research librarian of the future: data scientist and co-investigator. London School of Economics Impact of Social Sciences Blog.

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