The Infrastructure of Data Reuse and Trust: All the elements to support open and FAIR data along with those necessary for attribution and credit.
Abstract
In the Earth and space sciences, reusing data is expected and practiced in many domains. Any scientific observations and measurements made on Earth should be designed to be used and reused by many researchers over time. However, data created through other means such as field work or lab work is not commonly stored so that it can be interoperable and be reused. The same rigor in preparing data for sharing and reuse is rarely part of our culture for these small to medium (i.e. 'Long Tail') size data, thus depriving future scientists from the knowledge we have generated today.
It is difficult to know the value particular data sets will have in the future. If we choose not to share or even share our data with poor documentation and understanding, it definitely will not have any value. As part of the work of the AGU-led Enabling FAIR Data project, and efforts by others, we are working on steps to make data that supports publications open and accessible via community agreed standards to ensure trust in the quality and reusability of the data. This can require additional effort on the part of the researcher and to reward that effort, we require clear attribution that gives credit to data creators/authors when their data is reused. Largely automated attribution and credit do not exist today, and hence it is rarely done. Attribution is now becoming a critical element in the culture change necessary to document, share and reuse scientific data.- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFMIN41E0886S
- Keywords:
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- 1904 Community standards;
- INFORMATICSDE: 1912 Data management;
- preservation;
- rescue;
- INFORMATICSDE: 1934 International collaboration;
- INFORMATICS