PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data

D. Khider; Julien Emile-Geay; N.P. Mckay; Y. Gil; D. Garijo; V. Ratnakar; M. Alonso-Garcia; S. Bertrand; O. Bothe; P. Brewer; A. Bunn; M. Chevalier; L. Comas-Bru; A. Csank; E. Dassié; K. DeLong; Thomas Felis; P. Francus; A. Frappier; W. Gray; S. Goring; L. Jonkers; M. Kahle; Darrell Kaufman; Emilie Capron; J Williams; Mai Winstrup; N. Zhao; Y. Zhou

doi:10.1029/2019pa003632

PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data

D. Khider, Julien Emile-Geay, N.P. Mckay, Y. Gil, D. Garijo, V. Ratnakar, M. Alonso-Garcia, S. Bertrand, O. Bothe, P. Brewer, A. Bunn, M. Chevalier, L. Comas-Bru, A. Csank, E. Dassié, K. DeLong, Thomas Felis, P. Francus, A. Frappier, W. GrayS. Goring, L. Jonkers, M. Kahle, Darrell Kaufman, Emilie Capron, J Williams, Mai Winstrup, N. Zhao, Y. Zhou

Klima- og Geofysik / Climate and Geophysics

8 Citationer (Scopus)

Abstract

The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of maximizing the reuse value of paleoclimate data sets, particularly for synthesis work and comparison to climate model simulations. Initiated by the LinkedEarth project, the process to elicit a reporting standard involved an international workshop in 2016, various forms of digital community engagement over the next few years, and grassroots working groups. Participants in this process identified important properties across paleoclimate archives, in addition to the reporting of uncertainties and chronologies; they also identified archive-specific properties and distinguished reporting standards for new versus legacy data sets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate data sets. Since such goals are at odds with present practices, we discuss a transparent path toward implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.

Originalsprog	Engelsk
Tidsskrift	Paleoceanography and Paleoclimatology
Vol/bind	34
Udgave nummer	10
Sider (fra-til)	1570-1596
Antal sider	27
ISSN	0883-8305
DOI	https://doi.org/10.1029/2019pa003632
Status	Udgivet - 1 okt. 2019

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10.1029/2019pa003632

2019PA003632Forlagets udgivne version, 37,3 MB

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Khider, D., Emile-Geay, J., Mckay, N. P., Gil, Y., Garijo, D., Ratnakar, V., Alonso-Garcia, M., Bertrand, S., Bothe, O., Brewer, P., Bunn, A., Chevalier, M., Comas-Bru, L., Csank, A., Dassié, E., DeLong, K., Felis, T., Francus, P., Frappier, A., ... Zhou, Y. (2019). PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data. Paleoceanography and Paleoclimatology, 34(10), 1570-1596. https://doi.org/10.1029/2019pa003632

Khider, D, Emile-Geay, J, Mckay, NP, Gil, Y, Garijo, D, Ratnakar, V, Alonso-Garcia, M, Bertrand, S, Bothe, O, Brewer, P, Bunn, A, Chevalier, M, Comas-Bru, L, Csank, A, Dassié, E, DeLong, K, Felis, T, Francus, P, Frappier, A, Gray, W, Goring, S, Jonkers, L, Kahle, M, Kaufman, D, Capron, E, Williams, J, Winstrup, M, Zhao, N & Zhou, Y 2019, 'PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data', Paleoceanography and Paleoclimatology, bind 34, nr. 10, s. 1570-1596. https://doi.org/10.1029/2019pa003632

@article{1b4608211e594c788bdfe4abb8eb2398,

title = "PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data",

abstract = "The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of maximizing the reuse value of paleoclimate data sets, particularly for synthesis work and comparison to climate model simulations. Initiated by the LinkedEarth project, the process to elicit a reporting standard involved an international workshop in 2016, various forms of digital community engagement over the next few years, and grassroots working groups. Participants in this process identified important properties across paleoclimate archives, in addition to the reporting of uncertainties and chronologies; they also identified archive-specific properties and distinguished reporting standards for new versus legacy data sets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate data sets. Since such goals are at odds with present practices, we discuss a transparent path toward implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.",

author = "D. Khider and Julien Emile-Geay and N.P. Mckay and Y. Gil and D. Garijo and V. Ratnakar and M. Alonso-Garcia and S. Bertrand and O. Bothe and P. Brewer and A. Bunn and M. Chevalier and L. Comas-Bru and A. Csank and E. Dassi{\'e} and K. DeLong and Thomas Felis and P. Francus and A. Frappier and W. Gray and S. Goring and L. Jonkers and M. Kahle and Darrell Kaufman and Emilie Capron and J Williams and Mai Winstrup and N. Zhao and Y. Zhou",

year = "2019",

month = oct,

day = "1",

doi = "10.1029/2019pa003632",

language = "English",

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pages = "1570--1596",

journal = "Paleoceanography and Paleoclimatology",

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T2 - A Crowdsourced Reporting Standard for Paleoclimate Data

AU - Khider, D.

AU - Emile-Geay, Julien

AU - Mckay, N.P.

AU - Gil, Y.

AU - Garijo, D.

AU - Ratnakar, V.

AU - Alonso-Garcia, M.

AU - Bertrand, S.

AU - Bothe, O.

AU - Brewer, P.

AU - Bunn, A.

AU - Chevalier, M.

AU - Comas-Bru, L.

AU - Csank, A.

AU - Dassié, E.

AU - DeLong, K.

AU - Felis, Thomas

AU - Francus, P.

AU - Frappier, A.

AU - Gray, W.

AU - Goring, S.

AU - Jonkers, L.

AU - Kahle, M.

AU - Kaufman, Darrell

AU - Capron, Emilie

AU - Williams, J

AU - Winstrup, Mai

AU - Zhao, N.

AU - Zhou, Y.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of maximizing the reuse value of paleoclimate data sets, particularly for synthesis work and comparison to climate model simulations. Initiated by the LinkedEarth project, the process to elicit a reporting standard involved an international workshop in 2016, various forms of digital community engagement over the next few years, and grassroots working groups. Participants in this process identified important properties across paleoclimate archives, in addition to the reporting of uncertainties and chronologies; they also identified archive-specific properties and distinguished reporting standards for new versus legacy data sets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate data sets. Since such goals are at odds with present practices, we discuss a transparent path toward implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.

AB - The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of maximizing the reuse value of paleoclimate data sets, particularly for synthesis work and comparison to climate model simulations. Initiated by the LinkedEarth project, the process to elicit a reporting standard involved an international workshop in 2016, various forms of digital community engagement over the next few years, and grassroots working groups. Participants in this process identified important properties across paleoclimate archives, in addition to the reporting of uncertainties and chronologies; they also identified archive-specific properties and distinguished reporting standards for new versus legacy data sets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate data sets. Since such goals are at odds with present practices, we discuss a transparent path toward implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.

U2 - 10.1029/2019pa003632

DO - 10.1029/2019pa003632

M3 - Journal article

SN - 0883-8305

VL - 34

SP - 1570

EP - 1596

JO - Paleoceanography and Paleoclimatology

JF - Paleoceanography and Paleoclimatology

IS - 10

ER -

PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data

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