
Quality Management Framework for Climate Datasets
By: Carlo Lacagnina, Francisco Doblas-Reyes, Gilles Larnicol, Carlo Buontempo, André Obregón, Montserrat Costa-Surós, Daniel San-Martín, Pierre-Antoine Bretonnière, Suraj D. Polade, Vanya Romanova, Davide Putero, Federico Serva, Alba Llabrés-Brustenga, Antonio Pérez, Davide Cavaliere, Olivier Membrive, Christian Steger, Núria Pérez-Zanón, Paolo Cristofanelli, Fabio Madonna, Marco Rosoldi, Aku Riihelä and Markel García Díez
References
- Aguilar, E, Auer, I, Brunet, M, Peterson, TC and Wieringa, J. 2003.
Guidelines on climate metadata and homogenization, WCDMP-No. 53, WMO-TD No. 1186 . Geneva: World Meteorological Organization. - Brunet, M, Brugnara, Y, Noone, S, Stephens, A, Valente, M A, Ventura, C, Jones, P, Gilabert, A, Brönnimann, S, Luterbacher, J, Allan, R, Brohan, P and Compo, GP. 2020.
Best Practice Guidelines for Climate Data and Metadata Formatting, Quality Control and Submission . Reading, UK: Copernicus Climate Change Service. - Buontempo, C, Hanlon, HM, Bruno Soares, M, Christel, I, Soubeyroux, J-M, Viel, C, Calmanti, S, Bosi, L, Falloon, P, Palin, EJ, Vanvyve, E, Torralba, V, Gonzalez-Reviriego, N, Doblas-Reyes, F, Pope, ECD, Newton, P and Liggins, F. 2018. What have we learnt from EUPORIAS climate service prototypes? Climate Services, 9: 21–32. DOI: 10.1016/j.cliser.2017.06.003
- Callahan, T, Barnard, J, Helmkamp, L, Maertens, J and Kahn, M. 2017. Reporting data quality assessment results: Identifying individual and organizational barriers and solutions. eGEMs, 5(1). DOI: 10.5334/egems.214
- European Commission (EC). 2020. Copernicus and earth observation in support of eu policies. Part I, Copernicus uptake in the european commission. DOI: 10.2760/024084
- European Commission (EC), Directorate-General for Research and Innovation. 2015. European Union: A European Research and Innovation Roadmap for Climate Services. DOI: 10.2777/702151
- European Organization for the Exploitation of Meteorological Satellites (EUMETSAT). 2014. CORE-CLIMAX System Maturity Matrix Instruction Manual (Doc. No. CC/EUM/MAN/13/002). Available at
https://masif.eumetsat.int/website/wcm/idc/idcplg?IdcService=GET_FILE&dDocName=PDF_CORE_CLIMAX_MANUAL&RevisionSelectionMethod=LatestReleased&Rendition=Web . - Evans, B, Druken, K, Wang, J, Yang, R, Richards, C and Wyborn, L. 2017. A data quality strategy to enable fair, programmatic access across large, diverse data collections for high performance data analysis. Informatics, 4(4): 45. DOI: 10.3390/informatics4040045
- Hewitt, CD, Allis, E, Mason, SJ, Muth, M, Pulwarty, R, Shumake-Guillemot, J, Bucher, A, Brunet, M, Fischer, AM, Hama, AM, Kolli, RK, Lucio, F, Ndiaye, O and Tapia, B. 2020. Making society climate resilient: International progress under the global framework for climate services. Bulletin of the American Meteorological Society, 101(2): E237–E252. DOI: 10.1175/BAMS-D-18-0211.1
- ISO 14090:2019.
Adaptation to climate change — Principles, requirements and guidelines . Geneva, Switzerland.https://www.iso.org/standard/68507.html . - ISO 14091:2021.
Adaptation to climate change — Guidelines on vulnerability, impacts and risk assessment . Geneva, Switzerland.https://www.iso.org/standard/68508.html . - ISO 19157:2013.
Geographic information — Data quality . Geneva, Switzerland.https://www.iso.org/standard/32575.html . - Lawrence, B, Jones, C, Matthews, B, Pepler, S and Callaghan, S. 2011. Citation and peer review of data: Moving towards formal data publication. International Journal of Digital Curation, 6(2): 4–37. DOI: 10.2218/ijdc.v6i2.205
- Leadbetter, A, Carr, R, Flynn, S, Meaney, W, Moran, S, Bogan, Y, Brophy, L, Lyons, K, Stokes, D and Thomas, R. 2020. Implementation of a data management quality management framework at the marine institute, Ireland. Earth Science Informatics, 13(2): 509–521. DOI: 10.1007/s12145-019-00432-w
- Lin, D, Crabtree, J, Dillo, I, Downs, RR, Edmunds, R, Giaretta, D, De Giusti, M, L’Hours, H, Hugo, W, Jenkyns, R, Khodiyar, V, Martone, ME, Mokrane, M, Navale, V, Petters, J, Sierman, B, Sokolova, DV, Stockhause, M and Westbrook, J. 2020. The TRUST Principles for digital repositories. Scientific Data, 7(1): 144. DOI: 10.1038/s41597-020-0486-7
- Medri, S, Banos de Guisasola, E and Gualdi, S. 2012. Overview of the main international climate services. Social Science Research Network. SSRN Scholarly Paper ID 2194841. DOI: 10.2139/ssrn.2194841
- Nightingale, J, Boersma, KF, Muller, J-P, Compernolle, S, Lambert, J-C, Blessing, S, Giering, R, Gobron, N, De Smedt, I, Coheur, P, George, M, Schulz, J and Wood, A. 2018. Quality assurance framework development based on six new ecv data products to enhance user confidence for climate applications. Remote Sensing, 10(8): 1254. DOI: 10.3390/rs10081254
- Nightingale, J, Mittaz, JPD, Douglas, S, Dee, D, Ryder, J, Taylor, M, Old, C, Dieval, C, Fouron, C, Duveau, G and Merchant, C. 2019. Ten priority science gaps in assessing climate data record quality. Remote Sensing, 11(8): 986. DOI: 10.3390/rs11080986
- Peng, G. 2018. The state of assessing data stewardship maturity – an overview. Data Science Journal, 17: 7. DOI: 10.5334/dsj-2018-007
- Peng, G, Lacagnina, C, Downs, RR, Ramapriyan, H, Ivánová, I, Ganske, A, le Roux, J, et al. 16 Apr. 2021.
International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets , OSF Preprints. DOI: 10.31219/osf.io/xsu4p - Rfll, German Council for Scientific Information Infrastructures. 2020.
The Data Quality Challenge. Recommendations for Sustainable Research in the Digital Turn . Göttingen. - Stockhause, M, Höck, H, Toussaint, F and Lautenschlager, M. 2012. Quality assessment concept of the World Data Center for Climate and its application to CMIP5 data. Geoscientific Model Development, 5(4): 1023–1032. DOI: 10.5194/gmd-5-1023-2012
- Thépaut, J, Dee, D, Engelen, R and Pinty, B. 2018. The Copernicus Programme and its Climate Change Service. IGARSS 2018 IEEE International Geoscience and Remote Sensing Symposium, 1591–1593. DOI: 10.1109/IGARSS.2018.8518067
- Wilkinson, MD, Dumontier, M, Aalbersberg, IJ, Appleton, G, Axton, M, Baak, A, Blomberg, N, Boiten, J-W, da Silva Santos, LB, Bourne, PE, Bouwman, J, Brookes, AJ, Clark, T, Crosas, M, Dillo, I, Dumon, O, Edmunds, S, Evelo, CT, Finkers, R, Mons, B, et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1):
160018 . DOI: 10.1038/sdata.2016.18 - WMO/WIGOS. 2017.
WIGOS Metadata Standard . Geneva: World Meteorological Organization, WMO no. 1192. - Zeng, Y, Su, Z, Barmpadimos, I, Perrels, A, Poli, P, Boersma, F, Frey, A, Ma, X, Bruin, K de, Goosen, H, John, VO, Roebeling, R, Schulz, J and Timmermans, WJ. 2019. Towards a traceable climate service: Assessment of quality and usability of essential climate variables. Remote Sensing, 11(10): 1–28. DOI: 10.3390/rs11101186
DOI: https://doi.org/10.5334/dsj-2022-010 | Journal eISSN: 1683-1470
Language: English
Page range: 10 - 10
Submitted on: Nov 25, 2021
Accepted on: Mar 17, 2022
Published on: Apr 4, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2022 Carlo Lacagnina, Francisco Doblas-Reyes, Gilles Larnicol, Carlo Buontempo, André Obregón, Montserrat Costa-Surós, Daniel San-Martín, Pierre-Antoine Bretonnière, Suraj D. Polade, Vanya Romanova, Davide Putero, Federico Serva, Alba Llabrés-Brustenga, Antonio Pérez, Davide Cavaliere, Olivier Membrive, Christian Steger, Núria Pérez-Zanón, Paolo Cristofanelli, Fabio Madonna, Marco Rosoldi, Aku Riihelä, Markel García Díez, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.