Resources

Peng, G, Lacagnina, C, Downs, RR, Ganske, A, Ramapriyan, HK, Ivánová, I, Wyborn, L, Jones, D, Bastin, L, Shie, C-L and Moroni, DF. 2022. Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets. Data Science Journal, 21: 8, pp. 1–20. DOI: https://doi.org/10.5334/dsj-2022-008

Chapman AD, Belbin L, Zermoglio PF, Wieczorek J, Morris PJ, Nicholls M, Rees ER, Veiga AK, Thompson A, Saraiva AM, James SA, Gendreau C, Benson A, Schigel D (2020). Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data. Biodiversity Information Science and Standards 4: e50889. https://doi.org/10.3897/biss.4.50889

Chapman AD (2005a) Principles of Data Quality: Copenhagen: GBIF Secretariat. https://doi.org/10.15468/doc.jrgg-a190

ASPRS (2014) ASPRS Positional Accuracy Standards for Digital Geospatial Data, Edition 1, Version 1.0. Photogrammetric Engineering and Remote Sensing. https://www.asprs.org/wp-content/uploads/2015/01/ASPRS_Positional_Accuracy_Standards_Edition1_Version100_November2014.pdf

Peng, G., Downs, R.R., Lacagnina, C., Ramapriyan, H., Ivánová, I., Moroni, D., Wei, Y., Larnicol, G., Wyborn, L., Goldberg, M., Schulz, J., Bastrakova, I., Ganske, A., Bastin, L., Khalsa, S.J.S., Wu, M., Shie, C.-L., Ritchey, N., Jones, D., Habermann, T., Lief, C., Maggio, I., Albani, M., Stall, S., Zhou, L., Drévillon, M., Champion, S., Hou, C.S., Doblas-Reyes, F., Lehnert, K., Robinson, E. and Bugbee, K., 2021. Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets. Data Science Journal, 20(1), p.19. DOI: http://doi.org/10.5334/dsj-2021-019

Dunn, R., Lief, C., Peng, G., Wright, W., Baddour, O., Donat, M., Dubuisson, B., Legeais, J.-F., Siegmund, P., Silveira, R., Wang, X.L. and Ziese, M., 2021. Stewardship Maturity Assessment Tools for Modernization of Climate Data Management. Data Science Journal, 20(1), p.7. DOI: http://doi.org/10.5334/dsj-2021-007

Peng G., Downs R. et al (2020). Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets. Preprint can be accessed at: https://osf.io/nwe5p/

German Council for Scientific Information Infrastructures (RfII): The Data Quality Challenge. Recommendations for Sustainable Research in the Digital Turn, Göttingen 2020, 120 p. Retrieved from http://www.rfii.de/?p=4203

Moudrý, V. and Devillers, R. (2020). Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data. In Ecological Informatics, Vol.56 2020. https://doi.org/10.1016/j.ecoinf.2020.101051

Peng, G., Milan, A. et al (2019). Practical application of a data stewardship maturity matrix for the NOAA OneStop Project. Data Science Journal. DOI: http://doi.org/10.5334/dsj-2019-041

Ben Evans, Kelsey Druken, Jingbo Wang, Rui Yang, Clare Richards and Lesley Wyborn (2017), A Data Quality Strategy to Enable FAIR, Programmatic Access across Large, Diverse Data Collections for High Performance Data Analysis. Informatics 2017, 4(4), 45; https://doi.org/10.3390/informatics4040045