Results 21 to 30 of about 340,570 (274)
Software and Data Citation [PDF]
Computing in Science & Engineering, 2020 This special issue is intended to inform the scientific computing community about recent advances and the current state of the art in software and data citation. Initial work has been done elsewhere to define standards and principles for software and data citation, and the basic required infrastructure is now in place.
Daniel S. Katz +4 more
openaire +3 more sources
re3data – Indexing the Global Research Data Repository Landscape Since 2012
Scientific Data, 2023 For more than ten years, re3data, a global registry of research data repositories (RDRs), has been helping scientists, funding agencies, libraries, and data centers with finding, identifying, and referencing RDRs. As the world’s largest directory of RDRs,
Heinz Pampel +11 more
doaj +1 more source
Leveraging Data for University Activities: A Case Study of MNUE
Lavai, 2023 This article shows the critical role of data utilization within the daily activities of organizations, focusing on its significance in the context of a university setting.
Dolgorjav Chinbat
doaj +1 more source
Frontiers in Climate, 2022 GRIIDC is a multidisciplinary data repository created in the aftermath of the Deepwater Horizon oil spill. Development of the repository occurred even as researchers collected post-spill data, and as a result, the data management system initially focused
Rosalie R. Rossi +2 more
doaj +1 more source
Implementing the RDA Research Data Policy Framework in Slovenian Scientific Journals
Data Science Journal, 2020 The paper aims to present the implementation of the RDA research data policy framework in Slovenian scientific journals within the project RDA Node Slovenia.
Janez Štebe +3 more
doaj +1 more source
Expanding the Citation Graph for Data Citations. [PDF]
, 2022 The Citation Graph (CG) is a computational artifact widely used to represent the domain of published literature. There is an increasing demand to treat the publication of data in the same way that we treat conventional publications. It should be possible to cite data for the same reasons that is is necessary to cite other publications. In this paper we
Peter Buneman +3 more
openaire +1 more source
The eDAL Suite: Tools and Concepts for Primary Data Citation [PDF]
, 2010 Retrieval and citation of primary data is the important factor in the approaching age of “data science”. Digital data are easily shared, and just as easily wiped or lost.
Christian Colmsee +6 more
core +2 more sources
Data citation practices in the CRAWDAD wireless network data archive [PDF]
, 2014 We are thankful for the generous support of our current funders ACM SIGCOMM and ACM SIGMOBILE, and our past funders Aruba Networks, Intel and the National Science Foundation.CRAWDAD (Community Resource for Archiving Wireless Data At Dartmouth) is a ...
David Kotz +4 more
core +2 more sources
Journal of Open Humanities Data, 2021 This position paper outlines curation as a distinct area of linguistics which supports the assessment of existing linguistic data sets. The starting point of the discussion lies in the work with legacy materials and necessary skills for reviewing them ...
Tobias Weber
doaj +1 more source
Data Citation in context of Data Traceability and Provenance [PDF]
<p>This talk was given at the DataCite EMEA Expert Call on 2024-03-12, introducing the importance of data provenance and data traceability for data citation in the climate domain. The use case of CMIP6 (Coupled Model Intercomparison Project Phase 6)
Stockhause, Martina
core +3 more sources