Transitions between curation domains along the research data lifecycle, based on the Data Curation Continuum figure by Andrew Treloar .
Research as a digital enterprise has created new, often poorly addressed challenges for the management and curation of research to ensure continuity, transparency, and accountability. There is a common misunderstanding that curation can be considered at a later point in the research cycle or delegated or that it is too burdensome or too expensive d...
This paper reports an international study of research data management (RDM) activities, services and capabilities in higher education libraries. It presents the results of a survey covering higher education libraries in Australia, Canada, Germany, Ireland, the Netherlands, New Zealand and the UK. The results indicate that libraries have provided le...
... The need for management and curation of research to ensure continuity, transparency, and accountability has created new challenges that are often poorly addressed by the libraries (Sesartić, Fischlin and Töwe, 2016). Hence, it is not by accident that activities, related to research data have been identified as top trends of academic library work not only in 2012 and 2014, but also in 2016, focusing in the latter case on professional development for librarians, providing research data services (ACRL, 2012(ACRL, , 2014(ACRL, , 2016. ...
Purpose The role of Research Data Services, consisting of research data management, data curation and data stewardship, and data literacy education in supporting Research 2.0 is examined. Besides this, theory and principles, as well as selected examples of best practices in the relevant fields are presented. Design/methodology/approach A literature-based overview of actual insights on tasks and roles that academic and research libraries have to fulfil in order to react to the developments generated by the appearance and growing importance of Research 2.0 is provided. Taking the wide spectre of related issues into account, the discussion is limited to research data services. Findings Even though Research 2.0 is evolving in different countries and some local environments in dissimilar ways, its data-intensive nature requires the helping presence of academic libraries and librarians. Being an emerging phenomenon, it will undoubtedly take several different shapes as it works itself out in time, but librarians should try to discover service niches, which may not be covered by other academic organizations, or their coverage is only partial or even unsatisfactory. Research limitations/implications Taking the wide spectre of issues into account, the review of literature is limited to the period between 2014 and 2016. Originality/value The paper intends intends to add to the body of knowledge about the relationship between Research Data Services and Research 2.0, as well as about the association between the components of the former.
This study provides insights into the evolution and conceptual framework of research data management (RDM). It also investigates the role of libraries and librarians in offering data management services and the challenges they face in this regard. The study is qualitative in nature and based on an extensive literature review survey. The analysis of the reviewed literature reveals that the idea of RDM has emerged as a new addition to library research support services. The more recent literature clearly established the pivotal role of libraries and librarians in developing and managing RDM services. However, data sharing practices and the development of RDM services in libraries are more prevalent in developed countries. While these trends are still lacking among researchers and libraries in developing countries. Creating awareness among researchers about the benefits of data sharing is a challenging task for libraries. Furthermore, institutional commitment, collaboration, academic engagement, technological infrastructure development, lack of policies, funding, and storage, skills, and competencies required for librarians to offer RDM-based services are some of the other significant challenges highlighted in the literature. Certainly, RDM services are difficult and complicated; therefore, librarians need to master the skills of research data to offer library-based RDM services.
This chapter deals with models, data, and their relations and use. It introduces the big picture of the SCS M&S Body of Knowledge, providing taxonomies for models and their uses and resulting perceptions as well as an extensive section on data. It addresses the questions of modeling and various modeling formalisms, model engineering, and model curation for repository integration. The chapter concludes with model-based simulation approaches and a section on the transient elimination in simulation.KeywordsModeling and simulationSimulation dataModeling formalismsModel engineeringModel curationTransient elimination
This bibliography presents over 225 selected English-language articles and books that are useful in understanding the publication and citation of research data. It also provides limited coverage of closely related topics, such as research data identifiers (e.g., DOI) and scholarly metrics. Most sources have been published from January 2009 through December 2021. It includes full abstracts for works under certain Creative Commons Licenses. It is also available as a website (http://digital-scholarship.org/citation/citation.htm), which includes a Google Translate link. This work is licensed under a Creative Commons Attribution 4.0 International License. Keywords: altmetrics, data citation, data journals, data publication, data reuse, data sharing, data sharing policies, Digital Object Identifiers, funding agency requirements, open access, open access journals, open science, peer review, persistent identifiers, scholarly metrics, research data, research data management, research data publishing, scholarly journals, and scholarly publishing.
Preface The Research Data Curation and Management Bibliography includes over 800 selected English-language articles and books that are useful in understanding the curation of digital research data in academic and other research institutions. The "digital curation" concept is still evolving. In "Digital Curation and Trusted Repositories: Steps toward Success," Christopher A. Lee and Helen R. Tibbo define digital curation as follows: Digital curation involves selection and appraisal by creators and archivists; evolving provision of intellectual access; redundant storage; data transformations; and, for some materials, a commitment to long-term preservation. Digital curation is stewardship that provides for the reproducibility and re-use of authentic digital data and other digital assets. Development of trustworthy and durable digital repositories; principles of sound metadata creation and capture; use of open standards for file formats and data encoding; and the promotion of information management literacy are all essential to the longevity of digital resources and the success of curation efforts.1 The Research Data Curation and Management Bibliography covers topics such as research data creation, acquisition, metadata, provenance, repositories, management, policies, support services, funding agency requirements, open access, peer review, publication, citation, sharing, reuse, and preservation. It is highly selective in its coverage. The bibliography does not cover conference proceedings, digital media works (such as MP3 files), editorials, e-mail messages, interviews, letters to the editor, presentation slides or transcripts, technical reports. unpublished e-prints, or weblog postings. Most sources have been published from January 2009 through December 2019; however, a limited number of earlier key sources are also included. The bibliography has links to included works. URLs may alter without warning (or automatic forwarding) or they may disappear altogether. Where possible, this bibliography uses Digital Object Identifier System (DOI) URLs. DOIs are not rechecked after initial validation. Publisher systems may have temporary DOI 3 resolution problems. Should a link be dead, try entering it in the Internet Archive Wayback Machine. Abstracts are included in this bibliography if a work is under a Creative Commons Attribution License (BY and national/international variations), a Creative Commons public domain dedication (CC0), or a Creative Commons Public Domain Mark and this is clearly indicated in the publisher’s current webpage for the article. Note that a publisher may have changed the licenses for all articles on a journal’s website but not have made corresponding license changes in journal’s PDF files. The license on the current webpage is deemed to be the correct one. Since publishers can change licenses in the future, the license indicated for a work in this bibliography may not be the one you find upon retrieval of the work. Unless otherwise noted, article abstracts in this bibliography are under a Creative Commons Attribution 4.0 International License, https://creativecommons.org/licenses/by/4.0/. Abstracts are reproduced as written in the source material. 1 Christopher A. Lee and Helen R. Tibbo, "Digital Curation and Trusted Repositories: Steps Toward Success," Journal of Digital Information 8, no. 2 (2007). https://journals.tdl.org/jodi/index.php/jodi/article/view/229
Research data management (RDM) should be central for both researchers and academic libraries. The latter provide related services that are described in this chapter. RDM embraces the entire research cycle, aiming at making the research process as efficient as possible and facilitating cooperation with other players involved in it. To get a clear picture of the nature of RDM services, a short history of the academic library’s readiness and involvement is described. Skills and competencies necessary for serving research and researchers are enumerated, followed by a portrayal of the planning and building of services, giving particular attention to the research data life cycle and to the importance of data management plans. The tasks related to data reference, data citation, and data retrieval are presented. The relationship between RDM and data curation, as well as between RDM and research support services, is characterized.
This selective bibliography presents over 800 English-language articles and books. It covers topics such as research data creation, metadata, provenance, repositories, management, policies, support services, funding agency requirements, open access, peer review, publication, citation, sharing, reuse, and preservation. It is also available as a paperback PDF file (https://www.digital-scholarship.org/rdcmb/rdcmb.pdf) and a website (https://www.digital-scholarship.org/rdcmb/rdcmb-web.htm), which includes a Google Translate link. Most sources were published from 2009 through 2019. It includes full abstracts for works under certain Creative Commons Licenses. This work is licensed under a Creative Commons Attribution 4.0 International License. (See also the Research Data Sharing and Reuse Bibliography and the Research Data Publication and Citation Bibliography.) Keywords: academic libraries, altmetrics, data citation, data curation, data journals, data preservation, data privacy, data publication, data repositories, data reuse, data sharing, data sharing policies, Digital Object Identifiers, peer review, ethical data sharing, geospatial data, funding agency requirements, open access, open access journals, open science, persistent identifiers, research data, research data management, research data metadata, research data publishing, research data metadata, research data services, research data training, research libraries, scholarly journals, scholarly metrics, and scholarly publishing.
This bibliography presents over 750 English-language articles, books, and technical reports. It covers topics such as research data creation, acquisition, metadata, provenance, repositories, management, policies, support services, funding agency requirements, open access, peer review, publication, citation, sharing, reuse, and preservation. Most sources were published from 2009 through 2018. It is also available as a website with a Google Translate link (https://tinyurl.com/k4vvzz68). This work is licensed under a Creative Commons Attribution 4.0 International License. This bibliography has been superseded by the 2021 Research Data Curation and Management Bibliography (https://tinyurl.com/3rec6ejn), which covers over 800 works.
Zusammenfassung Nicht nur die komplexer werdenden Arbeitsprozesse in der Forschung, sondern auch Vorgaben von Geldgebern machen ein professionelles Datenmanagement erforderlich. Die ETH Zürich unterstützt ihre Forschenden auf vielfältige Weise. Der Artikel beschreibt konkrete technische Lösungen, die im Einsatz sind, sowie das Beratungs- und Kursangebot der ETH Zürich. Statistiken zeigen, welche Kundengruppen erreicht werden und wo noch Handlungsbedarf besteht.