Preserve: Protecting Data for Long-Term Use. Cook, R. B., Wei, Y., Hook, L. A., Vannan, S. K. S., & McNelis, J. J. In Recknagel, F. & Michener, W. K., editors, Ecological Informatics: Data Management and Knowledge Discovery, pages 89–113. Springer International Publishing, Cham, 2018. ![Preserve: Protecting Data for Long-Term Use [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex This chapter provides guidance on fundamental data management practices that investigators should perform during the course of data collection to improve both the preservation and usability of their data sets over the long term. Topics covered include fundamental best practices on how to choose the best format for your data, how to better structure data within files, how to define parameters and units, and how to develop data documentation so that others can find, understand, and use your data easily. We also showcase advanced best practices on how to properly specify spatial and temporal characteristics of your data in standard ways so your data are ready and easy to visualize in both 2-D and 3-D viewers. By following this guidance, data will be less prone to error, more efficiently structured for analysis, and more readily understandable for any future questions that the data products might help address.
@incollection{cook_preserve_2018,
address = {Cham},
title = {Preserve: {Protecting} {Data} for {Long}-{Term} {Use}},
isbn = {978-3-319-59928-1},
shorttitle = {Preserve},
url = {https://doi.org/10.1007/978-3-319-59928-1_6},
abstract = {This chapter provides guidance on fundamental data management practices that investigators should perform during the course of data collection to improve both the preservation and usability of their data sets over the long term. Topics covered include fundamental best practices on how to choose the best format for your data, how to better structure data within files, how to define parameters and units, and how to develop data documentation so that others can find, understand, and use your data easily. We also showcase advanced best practices on how to properly specify spatial and temporal characteristics of your data in standard ways so your data are ready and easy to visualize in both 2-D and 3-D viewers. By following this guidance, data will be less prone to error, more efficiently structured for analysis, and more readily understandable for any future questions that the data products might help address.},
language = {en},
urldate = {2020-01-03},
booktitle = {Ecological {Informatics}: {Data} {Management} and {Knowledge} {Discovery}},
publisher = {Springer International Publishing},
author = {Cook, Robert B. and Wei, Yaxing and Hook, Leslie A. and Vannan, Suresh K. S. and McNelis, John J.},
editor = {Recknagel, Friedrich and Michener, William K.},
year = {2018},
doi = {10.1007/978-3-319-59928-1_6},
pages = {89--113},
}
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