Agriculture Journal logo
International Journal of Environmental & Agriculture Research
ISSN No. 2454-1850 | Impact Factor 6.39 | NAAS Rating 4.23
NAAS Rating: 4.23 agriculture journal new gif Impact Factor: 6.39 agriculture journal new gif
Citation Indices
All
Since 2016
Citation
4567
3992
h-index
26
23
i10-index
139
122
Track Your Article Archives Journal Indexing Related Forms FAQs Research Areas Plagiarism Policy Journal Ethics Policy Peer Review Policy
Acceptance Rate (By Year)
Year
Percentage
2023
15.23%
2022
12.81%
2021
10.45%
2020
9.6%
2019
14.3%
2018
17.65%
2017
16.9%
2016
22.9%
2015
26.1%

Agriculture Journal: Policy of Article Sharing

International Journal of Environmental and Agriculture Research (IJOEAR), ISSN 2454-1850 (online) is a monthly global journal, being published by AD Publication, Bikaner, Rajasthan, INDIA.
Data sharing enables others to reuse the results of experiments and supports the creation of new science that is built on previous findings, making the research process more efficient. Data sharing also supports transparency and reproducibility, building trust in science. Agriculture Journal IJOEAR is playing a key role in supporting researchers who want to store, share, discover and reuse data and we are committed to working with other stakeholders to address challenges in making data more effective.
Although much research data is disseminated as part of journal articles, a host of other data is not made available through article publication. This policy concerns research data that often underlies, but exists outside of research articles. Publishers can help make this hidden data discover able and our research data policy provides the framework for our support and engagement in this important area. The precise notion of what constitutes research data will differ from field to field but broadly speaking it refers to the result of observations or experimentation s that validate research findings and which are not already published as part of a journal article. Research data can include but are not limited to: raw data, processed data, software, algorithms, protocols, methods, materials.