The process of bringing dark data to light: The rescue of the early Nimbus satellite data

Gallaher, D. W.; Campbell, G. G.; Meier, Walter N.; Moses, J. F.; Wingo, Dennis

doi:10.1016/j.grj.2015.02.013

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…Our knowledge of Antarctic sea ice variability including DML for the period before 1979 remains fragmentary and largely based on early satellite records (Gallaher et al 2015), paleorecords (Stenni et al 2017;Thomas et al 2019) and documents (e.g. ship logbooks).…”

Section: Pre-satellite Records Of Antarctic Sea Ice Extent Variabilitymentioning

confidence: 99%

A review of the scientific knowledge of the seascape off Dronning Maud Land, Antarctica

et al. 2022

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Despite the exclusion of the Southern Ocean from assessments of progress towards achieving the Convention on Biological Diversity (CBD) Strategic Plan, the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) has taken on the mantle of progressing efforts to achieve it. Within the CBD, Aichi Target 11 represents an agreed commitment to protect 10% of the global coastal and marine environment. Adopting an ethos of presenting the best available scientific evidence to support policy makers, CCAMLR has progressed this by designating two Marine Protected Areas in the Southern Ocean, with three others under consideration. The region of Antarctica known as Dronning Maud Land (DML; 20°W to 40°E) and the Atlantic sector of the Southern Ocean that abuts it conveniently spans one region under consideration for spatial protection. To facilitate both an open and transparent process to provide the vest available scientific evidence for policy makers to formulate management options, we review the body of physical, geochemical and biological knowledge of the marine environment of this region. The level of scientific knowledge throughout the seascape abutting DML is polarized, with a clear lack of data in its eastern part which is presumably related to differing levels of research effort dedicated by national Antarctic programmes in the region. The lack of basic data on fundamental aspects of the physical, geological and biological nature of eastern DML make predictions of future trends difficult to impossible, with implications for the provision of management advice including spatial management. Finally, by highlighting key knowledge gaps across the scientific disciplines our review also serves to provide guidance to future research across this important region.

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Section: Pre-satellite Records Of Antarctic Sea Ice Extent Variabilitymentioning

confidence: 99%

A review of the scientific knowledge of the seascape off Dronning Maud Land, Antarctica

et al. 2022

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“…Os dados refletidos na Tabela 2 são comuns de grande parte das organizações governamentais. No entanto, tal situação pode ser acrescida dada a natureza do órgão em questão, por exemplo, órgãos de governo ligados a exploração espacial [Gallaher et al 2015, Heidorn 2018] ou de meio ambiente contam com dados de satélites e/ou de sensores, podendo ser considerados em parte, dados escuros.…”

Section: Figura 2 -Mapa Conceitual De Dados Escuros Para O Controle P...unclassified

Dados escuros à luz do controle público

Albuquerque

Dorneles

2022

Anais Do XXXVII Simpósio Brasileiro De Banco De Dados (SBBD 2022)

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Um volume considerável de dados permanece à margem do conhecimento de organizações governamentais, sem recurso de curadoria, transformando-se em dados escuros (dark data). Na área de controle público, onde há silos de diversas fontes, com um volume crescente, inclusive de cidadãos, dados escuros têm sido um tema não explorado pela literatura. Este artigo traz os principais conceitos na área de dados escuros, listando suas características e riscos, elaborando um mapa conceitual para a área de controle público. No decorrer do artigo, é apresentada uma abordagem de um pipeline para manipulação de dados escuros, que oferece alta abstração para identificação, classificação e monitoramento de dados escuros, especialmente para área de controle público.

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“…A big challenge is attempting to unlock or even revive data that is not carefully indexed or stored. Attempts are made to unlock this so-called "dark data" (Heidorn, 2008;Akers, 2013;Gallaher et al, 2015).…”

Section: Creation Stagementioning

confidence: 99%

Linking scholarly literature to research data and software ‐ lessons learned in astronomy

Henneken

2017

Proc. Assoc. Info. Sci. Tech.

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Publishing articles in scholarly journals is essential to furthering science. However, it is only one stage in the research cycle; one of the later stages, actually. After formulating a research goal, typically one or more proposals are written. When accepted, data is gathered, processed and compared to existing data and literature. Software plays an essential role in the data processing and comparison process. Often, before articles are published, papers and posters are presented at conferences. In short, there is a plethora of "products" associated with the entire research lifecycle. An essential ingredient in this cycle is the ability to find literature and associated products that were used to create it. Reproducibility of and the ability to add to existing results should be the norm, not the exception, for robust scientific research. Discoverability of data products and software needs an infrastructure and a culture. Astronomy has a long tradition of sharing data, but there is still a lot of work to do. Having this infrastructure will not only support discoverability, it will also enable measurement of impact and proper attribution. Both elements will help in getting funding for future research, which completes the cycle.

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The process of bringing dark data to light: The rescue of the early Nimbus satellite data

Cited by 10 publications

References 6 publications

A review of the scientific knowledge of the seascape off Dronning Maud Land, Antarctica

A review of the scientific knowledge of the seascape off Dronning Maud Land, Antarctica

Dados escuros à luz do controle público

Linking scholarly literature to research data and software ‐ lessons learned in astronomy

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