The Data Curation Continuum

Treloar, Andrew; Groenewegen, David; Harboe-Ree, Catherine

doi:10.1045/september2007-treloar

Cited by 34 publications

(11 citation statements)

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“…Treloar et al (2007) called this the "research data continuum" and came to the conclusion that for an organisation it is impossible to manage such a continuum. Instead, the authors suggested dividing this continuum into domains of responsibility.…”

Section: Uptake and Impact Of Persistent Identifiers For Research Datamentioning

confidence: 97%

DOI for geoscience data - how early practices shape present perceptions

2015

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The first minting of Digital Object Identifiers (DOI) for research data happened in 2004 in the context of the project "Publication and citation of primary scientific data" (STD-DOI). Some of the concepts and perceptions about DOI for data today have their roots in the way this project implemented DOI for research data and the decisions made in those early days still shape the discussion about the use of persistent identifiers for research data today. This project also laid the foundation for a tighter integration of journal publications and data. Promoted by early adopters, such as PANG AEA, DOI registration for data has reached a high level of maturity and has become an integral part of scientific publishing. This paper discusses the fundamental concepts applied in the identification of DOI for research data and how these can be interpreted for alternative and future applications of persistent identifiers for research data.

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Section: Uptake and Impact Of Persistent Identifiers For Research Datamentioning

confidence: 97%

DOI for geoscience data - how early practices shape present perceptions

2015

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“…Data sets which are finished and which can be cited in publications need to be transferred to a public domain. In this latter domain, research data are mostly available in combination with metadata and with other documentation (Treloar, Groenewegen, & Harboe-Ree, 2007). Because data facilities are often designed for a specific stage in the research process, it was also necessary to make use of a model which effectively represents the various phases in the scholarly lifecycle.…”

Section: A Catalogue Of Data Management Servicesmentioning

confidence: 99%

Fostering Effective Data Management Practices at Leiden University

et al. 2017

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At Leiden University, it is increasingly recognised that effective data management forms an integral component of responsible research. To actively promote the stewardship of all the research data that are produced at Leiden University, a comprehensive, institution-wide programme was launched in 2015, which centrally aims to encourage its researchers to carefully plan the temporal storage, long-term preservation and potential Fostering Effective Data Management Practices at Leiden University 2Liber Quarterly Volume 27 Issue 1 2017 reuse of their data. This programme, which is managed centrally by the Department of Academic Affairs, and which receives important contributions from academic staff, from Leiden University Libraries, and from the University's central ICT organisation, basically consists of three parts. Firstly, a basic central policy has been formulated, containing clear guidelines for activities before, during and after research projects. The central aim of this institutional policy is to ensure that all Leiden-based research projects can effectively comply with the most common requirements stipulated by funding agencies, academic publishers, the Dutch standard evaluation protocol and the European data protection directive. As a second part of the data management programme, faculties have organised workshops and meetings, concentrating on the rationale and on the technical and organisational practicalities of effective data management in order to bring about a discipline-specific protocol. Data librarians employed by Leiden University Libraries have developed educational materials and provide training for PhDs in the principles and benefits of good data management. Thirdly, to ensure that scholars can genuinely make a reasoned selection among the many tools that are currently available, a central catalogue was developed which lists and characterises the most relevant data management services. The catalogue currently provides information about, amongst many other aspects, the organisations behind these services, the main academic disciplines which are targeted and the accepted file formats and metadata formats. The various aspects of these facilities have been classified using terminology provided by conceptual models developed by the UKDA, ANDS and the DCC. Using Leiden University's policy guidelines as criteria, the overall suitability of each service has also been evaluated. Leiden University's data management programme has a total duration of three years, and its basic objective is to offer a comprehensive form of support, in which the data management policy which is propagated centrally is complemented by various forms of assistance which ought to make it easier for scholars to adhere to this policy. The catalogue of data management services also aims to bolster the implementation of an adequate technical infrastructure, as the qualitative evaluations of the services enable policy-makers and developers to quickly establish gaps or other shortcomings within existing facilities.

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“…They work with diverse data types, hence the search for the right research data repository can become confusing [1]. This so-called "data curation continuum" needs to be addressed [38]. A clear structure for different data types, their requirements and discipline foci (e.g., environments or measurement types) is therefore the key to successful research data management.…”

Section: Specifics Of Geographic Research Data Managementmentioning

confidence: 99%

Research Data Management Training for Geographers: First Impressions

Helbig

2016

IJGI

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Abstract:Sharing and secondary analysis of data have become increasingly important for research. Especially in geography, the collection of digital data has grown due to technological changes. Responsible handling and proper documentation of research data have therefore become essential for funders, publishers and higher education institutions. To achieve this goal, universities offer support and training in research data management. This article presents the experiences of a pilot workshop in research data management, especially for geographers. A discipline-specific approach to research data management training is recommended. The focus of this approach increases researchers' interest and allows for more specific guidance. The instructors identified problems and challenges of research data management for geographers. In regards to training, the communication of benefits and reaching the target groups seem to be the biggest challenges. Consequently, better incentive structures as well as communication channels have to be established.

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The Data Curation Continuum

Cited by 34 publications

References 0 publications

DOI for geoscience data - how early practices shape present perceptions

DOI for geoscience data - how early practices shape present perceptions

Fostering Effective Data Management Practices at Leiden University

Research Data Management Training for Geographers: First Impressions

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