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Toward more data publication of long‐term ecological observations
Author(s) -
Shin Nagai,
Shibata Hideaki,
Osawa Takeshi,
Yamakita Takehisa,
Nakamura Masahiro,
Kenta Tanaka
Publication year - 2020
Publication title -
ecological research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.628
H-Index - 68
eISSN - 1440-1703
pISSN - 0912-3814
DOI - 10.1111/1440-1703.12115
Subject(s) - ecology , data sharing , data science , observational study , computer science , biology , medicine , alternative medicine , pathology
Data papers, such as those published by Ecological Research , encourage the retrieval and archiving of valuable unpublished, undigitized ecological observational data. However, scientists remain hesitant to submit their data to such forums. In this perspective paper, we describe lessons learned from the Long‐Term Ecological Research, the Global Biodiversity Information Facility and marine biological databases and discuss how data sharing and publication are both powerful and important for ecological research. Our aim is to encourage readers to submit their unpublished, undigitized ecological observational data then the data may be archived, published and used by other researchers to advance knowledge in the field of ecology. Coupling data sharing and syntheses with the development of innovative informatics would allow ecology to enter the realm of big science and provide seeds for a new and robust agenda of future ecological studies.