PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data. Khider, D., Emile-Geay, J., McKay, N., 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., Kehrwald, N., Martrat, B., McGregor, H., Richey, J., Schmittner, A., Scroxton, N., Sutherland, E., Thirumalai, K., Allen, K., Arnaud, F., Axford, Y., Barrows, T., Bazin, L., Pilaar Birch, S., Bradley, E., Bregy, J., Capron, E., Cartapanis, O., Chiang, H., Cobb, K., Debret, M., Dommain, R., Du, J., Dyez, K., Emerick, S., Erb, M., Falster, G., Finsinger, W., Fortier, D., Gauthier, N., George, S., Grimm, E., Hertzberg, J., Hibbert, F., Hillman, A., Hobbs, W., Huber, M., Hughes, A. L., Jaccard, S., Ruan, J., Kienast, M., Konecky, B., Le Roux, G., Lyubchich, V., Novello, V. F., Olaka, L., Partin, J., Pearce, C., Phipps, S., Pignol, C., Piotrowska, N., Poli, M., Prokopenko, A., Schwanck, F., Stepanek, C., Swann, G., Telford, R., Thomas, E., Thomas, Z., Truebe, S., von Gunten, L., Waite, A., Weitzel, N., Wilhelm, B., Williams, J., Winstrup, M., Zhao, N., & Zhou, Y. Paleoceanography and Paleoclimatology, 34:1570–1596, 2019. Paper doi abstract bibtex 12 downloads 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 datasets, 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 vs. legacy datasets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate datasets. Since such goals are at odds with present practices, we discuss a transparent path towards implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.
@article{khider_pacts_2019,
title = {{PaCTS} 1.0: {A} {Crowdsourced} {Reporting} {Standard} for {Paleoclimate} {Data}},
volume = {34},
copyright = {All rights reserved},
url = {https://github.com/khider/khider.github.io/blob/master/papers/Khider_et_al-2019-Paleoceanography_and_Paleoclimatology.pdf},
doi = {10.1029/2019PA003632},
abstract = {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 datasets, 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 vs. legacy datasets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate datasets. Since such goals are at odds with present practices, we discuss a transparent path towards implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.},
journal = {Paleoceanography and Paleoclimatology},
author = {Khider, Deborah and Emile-Geay, Julien and McKay, Nicholas and Gil, Yolanda and Garijo, Daniel and Ratnakar, Varun and Alonso-Garcia, Montserrat and Bertrand, Sebastian and Bothe, Oliver and Brewer, Peter and Bunn, Andrew and Chevalier, Manuel and Comas-Bru, Laia and Csank, Adam and Dassié, Emilie and DeLong, Kristine and Felis, Thomas and Francus, Pierre and Frappier, Amy and Gray, William and Goring, Simon and Jonkers, Lukas and Kahle, Michael and Kaufman, Darrell and Kehrwald, Natalie and Martrat, Belen and McGregor, Helen and Richey, Julie and Schmittner, Andreas and Scroxton, Nick and Sutherland, Elaine and Thirumalai, Kaustubh and Allen, Katheryn and Arnaud, Fabien and Axford, Yarrow and Barrows, Timothy and Bazin, Lucie and Pilaar Birch, Suzanne and Bradley, Elizabeth and Bregy, Joshua and Capron, Emilie and Cartapanis, Olivier and Chiang, Hong-Wei and Cobb, Kim and Debret, Maxime and Dommain, René and Du, Jianhui and Dyez, Kelsey and Emerick, Suellyn and Erb, Michael and Falster, Georgina and Finsinger, Walter and Fortier, Daniel and Gauthier, Nicolas and George, Steven and Grimm, Eric and Hertzberg, Jennifer and Hibbert, Fiona and Hillman, Aubrey and Hobbs, Will and Huber, Matthew and Hughes, Anna L.C. and Jaccard, Samuel and Ruan, Jiaoyang and Kienast, Michael and Konecky, Bronwen and Le Roux, Gael and Lyubchich, Vyacheslav and Novello, Valdir F. and Olaka, Lydia and Partin, Judson and Pearce, Christof and Phipps, Steven and Pignol, Cécile and Piotrowska, Natalia and Poli, Maria-Serena and Prokopenko, Alexander and Schwanck, Franciele and Stepanek, Christian and Swann, George and Telford, Richard and Thomas, Elizabeth and Thomas, Zoë and Truebe, Sarah and von Gunten, Lucien and Waite, Amanda and Weitzel, Nils and Wilhelm, Bruno and Williams, John and Winstrup, Mai and Zhao, Ning and Zhou, Yuxin},
year = {2019},
keywords = {FAIR, best practices, data, paleoceanography, paleoclimate, standards},
pages = {1570--1596},
}
Downloads: 12
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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 datasets, 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 vs. legacy datasets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate datasets. Since such goals are at odds with present practices, we discuss a transparent path towards implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.","journal":"Paleoceanography and 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best practices, data, paleoceanography, paleoclimate, standards","pages":"1570–1596","bibtex":"@article{khider_pacts_2019,\n\ttitle = {{PaCTS} 1.0: {A} {Crowdsourced} {Reporting} {Standard} for {Paleoclimate} {Data}},\n\tvolume = {34},\n\tcopyright = {All rights reserved},\n\turl = {https://github.com/khider/khider.github.io/blob/master/papers/Khider_et_al-2019-Paleoceanography_and_Paleoclimatology.pdf},\n\tdoi = {10.1029/2019PA003632},\n\tabstract = {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 datasets, 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 vs. legacy datasets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate datasets. Since such goals are at odds with present practices, we discuss a transparent path towards implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.},\n\tjournal = {Paleoceanography and Paleoclimatology},\n\tauthor = {Khider, Deborah and Emile-Geay, Julien and McKay, Nicholas and Gil, Yolanda and Garijo, Daniel and Ratnakar, Varun and Alonso-Garcia, Montserrat and Bertrand, Sebastian and Bothe, Oliver and Brewer, Peter and Bunn, Andrew and Chevalier, Manuel and Comas-Bru, Laia and Csank, Adam and Dassié, Emilie and DeLong, Kristine and Felis, Thomas and Francus, Pierre and Frappier, Amy and Gray, William and Goring, Simon and Jonkers, Lukas and Kahle, Michael and Kaufman, Darrell and Kehrwald, Natalie and Martrat, Belen and McGregor, Helen and Richey, Julie and Schmittner, Andreas and Scroxton, Nick and Sutherland, Elaine and Thirumalai, Kaustubh and Allen, Katheryn and Arnaud, Fabien and Axford, Yarrow and Barrows, Timothy and Bazin, Lucie and Pilaar Birch, Suzanne and Bradley, Elizabeth and Bregy, Joshua and Capron, Emilie and Cartapanis, Olivier and Chiang, Hong-Wei and Cobb, Kim and Debret, Maxime and Dommain, René and Du, Jianhui and Dyez, Kelsey and Emerick, Suellyn and Erb, Michael and Falster, Georgina and Finsinger, Walter and Fortier, Daniel and Gauthier, Nicolas and George, Steven and Grimm, Eric and Hertzberg, Jennifer and Hibbert, Fiona and Hillman, Aubrey and Hobbs, Will and Huber, Matthew and Hughes, Anna L.C. and Jaccard, Samuel and Ruan, Jiaoyang and Kienast, Michael and Konecky, Bronwen and Le Roux, Gael and Lyubchich, Vyacheslav and Novello, Valdir F. and Olaka, Lydia and Partin, Judson and Pearce, Christof and Phipps, Steven and Pignol, Cécile and Piotrowska, Natalia and Poli, Maria-Serena and Prokopenko, Alexander and Schwanck, Franciele and Stepanek, Christian and Swann, George and Telford, Richard and Thomas, Elizabeth and Thomas, Zoë and Truebe, Sarah and von Gunten, Lucien and Waite, Amanda and Weitzel, Nils and Wilhelm, Bruno and Williams, John and Winstrup, Mai and Zhao, Ning and Zhou, Yuxin},\n\tyear = {2019},\n\tkeywords = {FAIR, best practices, data, paleoceanography, paleoclimate, standards},\n\tpages = {1570--1596},\n}\n\n","author_short":["Khider, D.","Emile-Geay, J.","McKay, N.","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.","Kehrwald, N.","Martrat, B.","McGregor, H.","Richey, J.","Schmittner, A.","Scroxton, N.","Sutherland, E.","Thirumalai, K.","Allen, K.","Arnaud, F.","Axford, Y.","Barrows, T.","Bazin, L.","Pilaar Birch, S.","Bradley, E.","Bregy, J.","Capron, E.","Cartapanis, O.","Chiang, H.","Cobb, K.","Debret, M.","Dommain, R.","Du, J.","Dyez, K.","Emerick, S.","Erb, M.","Falster, G.","Finsinger, W.","Fortier, D.","Gauthier, N.","George, S.","Grimm, E.","Hertzberg, J.","Hibbert, F.","Hillman, A.","Hobbs, W.","Huber, M.","Hughes, A. L.","Jaccard, S.","Ruan, J.","Kienast, M.","Konecky, B.","Le Roux, G.","Lyubchich, V.","Novello, V. F.","Olaka, L.","Partin, J.","Pearce, C.","Phipps, S.","Pignol, C.","Piotrowska, N.","Poli, M.","Prokopenko, A.","Schwanck, F.","Stepanek, C.","Swann, G.","Telford, R.","Thomas, E.","Thomas, Z.","Truebe, S.","von Gunten, L.","Waite, A.","Weitzel, N.","Wilhelm, B.","Williams, J.","Winstrup, M.","Zhao, N.","Zhou, Y."],"key":"khider_pacts_2019","id":"khider_pacts_2019","bibbaseid":"khider-emilegeay-mckay-gil-garijo-ratnakar-alonsogarcia-bertrand-etal-pacts10acrowdsourcedreportingstandardforpaleoclimatedata-2019","role":"author","urls":{"Paper":"https://github.com/khider/khider.github.io/blob/master/papers/Khider_et_al-2019-Paleoceanography_and_Paleoclimatology.pdf"},"keyword":["FAIR","best practices","data","paleoceanography","paleoclimate","standards"],"metadata":{"authorlinks":{"garijo, d":"https://bibbase.org/show?bib=https%3A%2F%2Fdgarijo.com%2Fgarijo.bib","khider, d":"https://bibbase.org/show?bib=https%3A%2F%2Fbibbase.org%2Fzotero%2Fdkhider","gil, y":"https://knowledgecaptureanddiscovery.github.io/yolanda_gil_website/publications.html"}},"downloads":12},"bibtype":"article","biburl":"https://api.zotero.org/users/5936637/collections/MTMWFT3Q/items?key=dB9lwcJrzs2q4CGlqfNE7Q6V&format=bibtex&limit=100","creationDate":"2019-09-06T18:39:32.880Z","downloads":12,"keywords":["fair","best practices","data","paleoceanography","paleoclimate","standards"],"search_terms":["pacts","crowdsourced","reporting","standard","paleoclimate","data","khider","emile-geay","mckay","gil","garijo","ratnakar","alonso-garcia","bertrand","bothe","brewer","bunn","chevalier","comas-bru","csank","dassié","delong","felis","francus","frappier","gray","goring","jonkers","kahle","kaufman","kehrwald","martrat","mcgregor","richey","schmittner","scroxton","sutherland","thirumalai","allen","arnaud","axford","barrows","bazin","pilaar birch","bradley","bregy","capron","cartapanis","chiang","cobb","debret","dommain","du","dyez","emerick","erb","falster","finsinger","fortier","gauthier","george","grimm","hertzberg","hibbert","hillman","hobbs","huber","hughes","jaccard","ruan","kienast","konecky","le roux","lyubchich","novello","olaka","partin","pearce","phipps","pignol","piotrowska","poli","prokopenko","schwanck","stepanek","swann","telford","thomas","thomas","truebe","von gunten","waite","weitzel","wilhelm","williams","winstrup","zhao","zhou"],"title":"PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data","year":2019,"dataSources":["R2JGJBRCxupuWD8jt","WKPuggaDbFpa6WmSm","fsDgB82rZp99rQAHB","uBgvRxwCRYb2a7sHT","2rbi2engWW5WQozKr","gKpq8ujvqhgfsEKXc","fFrFzHgmPt4KuXket","CGQAzM5qFuEyR2oHo","gsRvmgCMcSZfNmvGm","JkJ244LRhgy2CZQxC","uQXmfga9QQDTJq9Bx","eMcMhHQQ7Gfv9FzFH","vidCmTfx8gWLwerzG","CnSgEsWZYFMqiFeqb","n2mYsfbkGpEp9KqTn","MWaMy463M7dBdgjbA","b9KFPWL2J8jrrS9uT","bNPpDyYR7wzRXad66"]}