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.
Original language | English |
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Title of host publication | Ecological Informatics |
Subtitle of host publication | Data Management and Knowledge Discovery: Third Edition |
Publisher | Springer International Publishing |
Pages | 89-113 |
Number of pages | 25 |
ISBN (Electronic) | 9783319599281 |
ISBN (Print) | 9783319599267 |
DOIs | |
State | Published - Oct 21 2017 |