Skip to main navigation Skip to search Skip to main content

PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data

  • D. Khider
  • , J. 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
  • , T. Felis
  • , P. Francus
  • , A. Frappier
  • , W. Gray
  • S. Goring, L. Jonkers, M. Kahle, D. Kaufman, N. M. Kehrwald, B. Martrat, H. McGregor, J. Richey, A. Schmittner, N. Scroxton, E. Sutherland, K. Thirumalai, K. Allen, F. Arnaud, Y. Axford, T. Barrows, L. Bazin, S. E. Pilaar Birch, E. Bradley, J. Bregy, E. Capron, O. Cartapanis, H. W. Chiang, K. M. Cobb, M. Debret, R. Dommain, J. Du, K. Dyez, S. Emerick, M. P. Erb, G. Falster, W. Finsinger, D. Fortier, Nicolas Gauthier, S. George, E. Grimm, J. Hertzberg, F. Hibbert, A. Hillman, W. Hobbs, M. Huber, A. L.C. Hughes, S. Jaccard, J. Ruan, M. Kienast, B. Konecky, G. Le Roux, V. Lyubchich, V. F. Novello, L. Olaka, J. W. Partin, C. Pearce, S. J. Phipps, C. Pignol, N. Piotrowska, M. S. Poli, A. Prokopenko, F. Schwanck, C. Stepanek, G. E.A. Swann, R. Telford, E. Thomas, Z. Thomas, S. Truebe, L. von Gunten, A. Waite, N. Weitzel, B. Wilhelm, J. Williams, J. J. Williams, M. Winstrup, N. Zhao, Y. Zhou
  • University of Southern California
  • Northern Arizona University
  • Universidad de Salamanca
  • Ghent University
  • Helmholtz-Zentrum Hereon
  • Laboratory of Tree-Ring Research
  • Western Washington University
  • University of Lausanne
  • University College Dublin
  • University of Reading
  • University of Nevada, Reno
  • Université de Bordeaux
  • Louisiana State University
  • University of Bremen
  • Institut national de la recherche scientifique
  • Skidmore College
  • LSCE (CEA CNRS UVSQ UPSaclay) Centre d’Etudes Orme des Merisiers
  • University of Wisconsin-Madison
  • University of Freiburg
  • United States Geological Survey
  • Csic
  • University of Cambridge
  • University of Wollongong
  • Oregon State University
  • United States Department of Agriculture
  • University of Arizona
  • University of Melbourne
  • CNRS
  • Northwestern University
  • University of Georgia
  • University of Colorado Boulder
  • Indiana University Bloomington
  • University of Copenhagen
  • University of Bern
  • National Taiwan University
  • Georgia Institute of Technology
  • University of Rouen
  • University of Potsdam
  • University of Michigan, Ann Arbor
  • Universidade de São Paulo
  • Adelaide University
  • University of Montreal
  • Arizona State University
  • University of Minnesota Twin Cities
  • Old Dominion University
  • Australian National University
  • University of Tasmania
  • Purdue University
  • University of Manchester
  • Bjerknes Centre for Climate Research
  • Sun Yat-Sen University
  • Dalhousie University
  • Washington University St. Louis
  • University Paul Sabatier
  • University of Maryland, College Park
  • University of Nairobi
  • University of Texas at Austin
  • Aarhus University
  • Silesian University of Technology
  • Eastern Michigan University
  • University of Cologne
  • Universidade Federal do Rio Grande do Sul
  • Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research
  • University of Nottingham
  • University of Bergen
  • British Antarctic Survey
  • University of New South Wales
  • Arizona State Parks and Trails
  • PAGES International Project Office
  • ANGARI Foundation
  • Heidelberg University 
  • Oxford Brookes University
  • Max Planck Institute for Chemistry
  • Columbia University

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

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.

Original languageEnglish
Pages (from-to)1570-1596
Number of pages27
JournalPaleoceanography and Paleoclimatology
Volume34
Issue number10
DOIs
StatePublished - Oct 1 2019

Keywords

  • FAIR
  • best practices
  • data
  • paleoceanography
  • paleoclimate
  • standards

Fingerprint

Dive into the research topics of 'PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data'. Together they form a unique fingerprint.

Cite this