Citation Indices
All
Since 2016
Citation
1049
1028
h-index
10
10
i10-index
13
13

Acceptance Rate (By Year)
Year
Percentage
2020
11.8%
2019
16.3%
2018
18.65%
2017
15.9%
2016
20.9%
2015
22.5%

Impact Factor: 5.86engineering journal Impact factor engineering-journal-digital-object-identifier engineering-journal-digital-identification-number Track Your Article Journal Indexing FAQs Fields of Interest Plagiarism policy Process of Publication Journal Ethics Policy Other Journal Polices  engineering journal dropdown gif Archives Live Statistics Map

Engineering Journal: Policy for Research Data Sharing

Engineering Journal IJOER publishes articles of international interest from all areas of Engineering research and Science. The Journal is an international publication organization aims to publish research articles in the field of Engineering Research and Sciences. The aim of the journal is to offers scientists or researchers with expertise in Engineering Research and Sciences to share their systematic research outcomes with the real world or with new professionals who are doing best in this field. Engineering Journal IJOER is a worldwide monthly journal managed by AD Publications, Bikaner, and Rajasthan, INDIA since April 2015.

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. Engineering Journal IJOER 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.