Introduction: archiving research data

Doorn, Peter; Tjalsma, H.D.

doi:10.1007/s10502-007-9054-6

Cited by 33 publications

(24 citation statements)

References 12 publications

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“…DANS was founded in 2005 as an institute of the Royal Netherlands Academy of Arts and Sciences (KNAW) and of the Netherlands Organization for Scientific Research (NWO) (Data Archiving and Networked Services, 2017). However, its archival collection dates back to the 1960s, a growth period for social sciences data archives (Doorn & Tjalsma, 2007). ICPSR in the U.S. (Regents of the University of Michigan, 2016) and the Dutch Steinmetz Archive (whose collections are now part of DANS) ("Steinmetz Archive," 1989) were launched in that time period.…”

Section: Dans: Data Archiving and Networked Servicesmentioning

confidence: 99%

Digital data archives as knowledge infrastructures: Mediating data sharing and reuse

Borgman

Scharnhorst

Golshan

2019

Asso for Info Science & Tech

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Digital archives are the preferred means for open access to research data. They play essential roles in knowledge infrastructures -robust networks of people, artifacts, and institutions -but little is known about how they mediate information exchange between stakeholders. We open the "black box" of data archives by studying DANS, the Data Archiving and Networked Services institute of The Netherlands, which manages 50+ years of data from the social sciences, humanities, and other domains. Our interviews, weblogs, ethnography, and document analyses reveal that a few large contributors provide a steady flow of content, but most are academic researchers who submit datasets infrequently and often restrict access to their files. Consumers are a diverse group that overlaps minimally with contributors. Archivists devote about half their time to aiding contributors with curation processes and half to assisting consumers. Given the diversity and infrequency of usage, human assistance in curation and search remains essential. DANS' knowledge infrastructure encompasses public and private stakeholders who contribute, consume, harvest, and serve their data -many of whom did not exist at the time the DANS collections originated -reinforcing the need for continuous investment in digital data archives as their communities, technologies, and services evolve.

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Section: Dans: Data Archiving and Networked Servicesmentioning

confidence: 99%

Digital data archives as knowledge infrastructures: Mediating data sharing and reuse

Borgman

Scharnhorst

Golshan

2019

Asso for Info Science & Tech

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“…Nominally, the data management approaches that emerge from the different worldviews are fully capable of stewarding data according to defined best practice, but the varying perspectives and metaphors focus on different stages of the data life cycle, different audiences, and different challenges. We do not believe that any of the current data management paradigms fully meet all the basic criteria outlined by the ISO standard Open Archival Information System Reference Model (ISO, 2003), the broader guidance of the (ARL, 2007) or other general community guidance (Arzberger et al, 2004;Doorn & Tjalsma, 2007, Parsons et al 2011). …”

Section: Pros and Cons Of The Current Worldviewsmentioning

confidence: 99%

Is Data Publication the Right Metaphor?

Parsons¹,

Fox

2013

Data Sci. J.

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“…The current version of DDI standard is the third one (DDI3), 6 but the most widely used is the second (DDI2). 7 Although DDI2 is documenting adequately the final product of empirical research (that is, the data file with variables), some shortcomings occur related to the documentation of the questions of a questionnaire, since it assumes the question 2 For data archives and archiving research data, see Doorn and Tjalsma (2007). 3 The Statistical Data and Metadata eXchange standard (SDMX) is a powerful documentation standard coming from the world of statistical agencies, that documents aggregated data.…”

Section: The Proposed Question Documentation Modelmentioning

confidence: 99%

A question documentation model on the needs of comparative research

Kallas

Linardis

2010

Arch Sci

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A questionnaire, as a basic tool of organization of scientific observation, consists of two schemas: a data schema that corresponds to the specifications and the conceptual determinations of scientific vocabulary and a communicative schema that organizes the communication between the scientists and respondents depending on the particular characteristics of the asked population. The objective of this paper is the design of a documentation model for the questions of a questionnaire that would allow the detection of similar questions throughout a database. Such a model can successfully manage the documentation problems of comparative longitudinal research, whereas the questions of a questionnaire are repeated and changed slightly or go unchanged through the waves. It can also help researchers that are concerned with secondary analysis, for the detection of similar questions of similar or even different studies.

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Introduction: archiving research data

Cited by 33 publications

References 12 publications

Digital data archives as knowledge infrastructures: Mediating data sharing and reuse

Digital data archives as knowledge infrastructures: Mediating data sharing and reuse

Is Data Publication the Right Metaphor?

A question documentation model on the needs of comparative research

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