De-mystifying OAIS compliance: Benefits and challenges of mapping the OAIS reference model to the GESIS Data Archive

Schumann, Natascha; Recker, Astrid

doi:10.29173/iq769

Cited by 5 publications

(8 citation statements)

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“…The Cedars Project [iv] undertook the testbed implementation of this recommended by the 1999 Warwick Workshop, concluding that OAIS 'presents a useful approach for the establishment of digital archives -particularly in a distributed environment' (Cedars Project, 2001). It has subsequently been widely recommended, adopted and critiqued as a theoretical construct for the discipline (Lavoie, 2000(Lavoie, , 2014Beedham et al, 2005;Allinson, 2006;Ball, 2006;Egger, 2006;Knight and Hedges, 2007;Vardigan and Whiteman, 2007;Schumann and Recker, 2013;Ruest, 2014). (Higgins, 2008) built on previous work in this arena (Higgins, 2007) and provided an alternative to OAIS with a high-level, succinct and less technically orientated graphical definition of lifecycle activities and their workflow; along with a framework for developing best-practice in professional, academic and technical domains.…”

Section: Around the Same Time Drafts Of The Influential Reference Modmentioning

confidence: 99%

Digital curation: the development of a discipline within information science

Higgins

2018

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Section: Around the Same Time Drafts Of The Influential Reference Modmentioning

confidence: 99%

Digital curation: the development of a discipline within information science

Higgins

2018

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“…Archiving follows an established workflow (Schumann and Recker, 2013): First, acquisition takes place; second, processing is performed (e.g., quality control, documentation); third, storage occurs (i.e. preservation actions are taken); and fourth, dissemination and access are provided (e.g., include in catalogue).…”

Section: Sharing For Reproducibility In Specialized Archivesmentioning

confidence: 99%

“…One of several strategies for determining significant properties (Faniel and Yakel, 2001) is a people-centric approach that considers the producers and re-users of data and their requirements. At the GESIS archive, these considerations of past and future data users are paired with a process-centric approach that also takes into account the different steps of the collaborative social science research process (Schumann and Recker, 2013). Required information about the social science research process includes how, when and why data was created and details of how it was processed and analyzed.…”

Section: Current Approaches To Sharing Datasets Collected From Twittermentioning

confidence: 99%

Archiving information from geotagged tweets to promote reproducibility and comparability in social media research

2017

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Sharing social media research datasets allows for reproducibility and peer-review, but it is very often difficult or even impossible to achieve due to legal restrictions and can also be ethically questionable. What is more, research data repositories and other research infrastructure and research support institutions are only starting to target social media researchers. In this paper, we present a practical solution to sharing social media data with the help of a social science data archive. Our aim is to contribute to the effort of enhancing comparability and reproducibility in social media research by taking some first steps towards setting standards for sustainable data archiving. We present a showcase for sharing social media data with the example of a big dataset containing geotagged tweets (several months of continued geotagged tweets from the United States from 2014 and 2015; nearly half a billion tweets in total) through a research data archive. We provide a general background to the process of long-term archiving of research data. After some consideration of the current obstacles for sharing and archiving social media data, we present our solution of archiving the specific dataset of geotagged tweets at the GESIS Data Archive for the Social Sciences, a publicly funded German data archive for secure and long-term archiving of social science data. We archived and documented tweet IDs and additional information to improve reproducibility of the initial research while also attending to ethical and legal considerations, and taking into account Twitter's terms of service in particular.

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“…There is a common and pervasive misunderstanding about the OAIS model (Schumann and Recker, 2012: 6), which can potentially lead to misinterpretations of ISO 16363, as happened in Deakin’s case. The misunderstanding relates to the fact that OAIS is a conceptual model only.…”

Section: Iso 16363 and Oais In Practicementioning

confidence: 99%

Looking back

Houghton

2017

Alexandria

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In 2013, Deakin University Library undertook a self-assessment of its research repository, Deakin Research Online, against ISO 16363. ISO 16363 is heavily structured on the Open Archival Information System (OAIS) model, so an understanding of OAIS is critical for a full understanding of the ISO 16363 criteria. With over 100 ISO 16363 criteria, a self-assessment can be a large and complex undertaking. Not only are many of the criteria very complex to understand, their arrangement is such that many of them cover common ground, which may lead to duplication of effort. An effective and efficient self-assessment will include a preliminary review of all the criteria, including an assessment of their applicability and risk to the repository being assessed. If resources are limited, repository managers should also focus their self-assessment on high-risk or vulnerable areas. Regular self-assessments of research repositories are highly recommended. Repository managers also need to ensure that once a self-assessment is completed, that resources are allocated to addressing identified areas of improvement.

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De-mystifying OAIS compliance: Benefits and challenges of mapping the OAIS reference model to the GESIS Data Archive

Abstract: De-mystifying OAIS compliance: Benefits and challenges of mapping the OAIS reference model to the GESIS Data Archive

Cited by 5 publications

References 1 publication

Digital curation: the development of a discipline within information science

Digital curation: the development of a discipline within information science

Archiving information from geotagged tweets to promote reproducibility and comparability in social media research

Looking back

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