Data accessibility in the chemical sciences: an analysis of recent practice in organic chemistry journals
The discoverability and reusability of data is critical for machine learning to drive new discovery in the chemical sciences, and the ‘FAIR Guiding Principles for scientific data management and stewardship’ provide a measurable set of guidelines that can be used to ensure the accessibility of reusab...
Saved in:
| Main Authors: | Sally Bloodworth, Cerys Willoughby, Simon J. Coles |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Beilstein-Institut
2025-05-01
|
| Series: | Beilstein Journal of Organic Chemistry |
| Subjects: | |
| Online Access: | https://doi.org/10.3762/bjoc.21.70 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Are Open Science instructions targeted to ecologists and evolutionary biologists sufficient? A literature review of guidelines and journal data policies
by: Elina Koivisto, et al.
Published: (2024-07-01) -
The quest to share data
by: Arthur W. Toga, et al.
Published: (2025-03-01) -
Addressing standardization and semantics in an electronic lab notebook for multidisciplinary use: LabIMotion
by: Chia-Lin Lin, et al.
Published: (2025-05-01) -
Opening Letter of RILEM TC SDM: The current situation of data and metadata management in construction materials research - Emerging demands and viable solutions
by: Tanja Manninger, et al.
Published: (2025-08-01) -
Why isn’t FAIR enough? Bringing together methods and values for Open Science uptake
by: Francesca Di Donato, et al.
Published: (2025-05-01)