Advancing FAIR Data in Earth, Space, and Environmental Science

Stall, Shelley; Yarmey, Lynn; Boehm, Reid; Cousijn, Helena; Cruse, Patricia; Cutcher‐Gershenfeld, Joel; Dasler, Robin; Waard, Anita de; Duerr, Ruth; Elger, Kirsten; Fenner, Martin; Glaves, Helen; Hanson, Brooks; Hausman, Jessica; Heber, Joerg; Hills, Denise; Hoebelheinrich, Nancy; Hou, Sophie; Kinkade, Danie; Koskela, Rebecca; Martin, Raleigh; Lehnert, Kerstin; Murphy, F.; Nosek, Brian A.; Parsons, M. A.; Petters, Jonathan; Plante, Raymond; Robinson, Erin; Samors, Robert; Servilla, Mark; Ulrich, Robert; Witt, Michael; Wyborn,; Lesley,

doi:10.1029/2018eo109301

Cited by 29 publications

(23 citation statements)

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“…By 2018, all these building blocks had been put together into a unified structure, which the community was keen to implement 4,5 . The outcomes are formalized as the Enabling FAIR Data Commitment Statement.…”

Section: Building Blocksmentioning

confidence: 99%

Make scientific data FAIR

Stall¹,

Yarmey²,

Cutcher‐Gershenfeld³

et al. 2019

Nature

Self Cite

199

139

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Section: Building Blocksmentioning

confidence: 99%

Make scientific data FAIR

Stall¹,

Yarmey²,

Cutcher‐Gershenfeld³

et al. 2019

Nature

Self Cite

199

139

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show abstract

“…The environmental sciences are also going through an important transition toward a scientific discourse that is responding to: The unpreceded amounts of environmental data related to different environmental facets, at different locations and scales 2 The need to move toward a more open, cross-disciplinary, and collaborative style of science 7 as demanded by the grand challenges of the natural environment; e.g., addressing food security, climate change, clean air/water The need to embrace FAIR ( findable, accessible, interoperable, and reusable) principles in managing and accessing environmental data 8 , 9 The need for a more holistic approach based on systems thinking to address the complexities of environmental ecosystems and their interactions The subsequent need to integrate data and models to answer scientific questions around (complex) ecosystems …”

Section: Summit: Background and Contextmentioning

confidence: 99%

The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord

et al. 2021

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Digital technology is having a major impact on many areas of society, and there is equal opportunity for impact on science. This is particularly true in the environmental sciences as we seek to understand the complexities of the natural environment under climate change. This perspective presents the outcomes of a summit in this area, a unique cross-disciplinary gathering bringing together environmental scientists, data scientists, computer scientists, social scientists, and representatives of the creative arts. The key output of this workshop is an agreed vision in the form of a framework and associated roadmap, captured in the Windermere Accord. This accord envisions a new kind of environmental science underpinned by unprecedented amounts of data, with technological advances leading to breakthroughs in taming uncertainty and complexity, and also supporting openness, transparency, and reproducibility in science. The perspective also includes a call to build an international community working in this important area.

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“…It is commonly accepted within many scientific disciplines that the data underlying a study should be cited in a similar way to literature citations. The data author guidelines from many scientific publishers prescribe that scientific data should be cited in a similar way to the citation described in Stall (2018). For CMIP6, it is required that modelling centres register data citation information, such as a title and list of authors with their ORCIDs (a unique identifier for authors) and related publication references with the CMIP6 Citation Service Stockhause and Lautenschlager (2017).…”

Section: Citation Servicementioning

confidence: 99%

Coordinating an operational data distribution network for CMIP6 data

Petrie¹,

Denvil²,

Ames³

et al. 2020

Preprint

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Abstract. The distribution of data contributed to the Coupled Model Intercomparison Project Phase 6 (CMIP6) is via the Earth System Grid Federation (ESGF). The ESGF is a network of internationally distributed sites that together work as a federated data archive. Data records from climate modelling institutes are published on the ESGF and then shared around the world. It is anticipated that CMIP6 will produce O(20PB) of data to be published and distributed via the ESGF. In addition to this large volume of data a number of value-added CMIP6 services are required to interact with the ESGF, for example the Citation and Errata services both interact with the ESGF but are not a core part of its infrastructure. With a number of interacting services and a large volume of data anticipated for CMIP6 a CMIP Data Node Operations Team (CDNOT) was formed. The CDNOT coordinated and implemented a series of CMIP6 preparation data challenges to test all the interacting components in the ESGF CMIP6 software ecosystem. This ensured that when CMIP6 data were released it could be reliably distributed.

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Advancing FAIR Data in Earth, Space, and Environmental Science

Abstract: The Enabling FAIR Data project has brought together a broad spectrum of Earth, space, and environmental science leaders to ensure that data are findable, accessible, interoperable, and reusable.

Cited by 29 publications

References 0 publications

Make scientific data FAIR

Make scientific data FAIR

The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord

Coordinating an operational data distribution network for CMIP6 data

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