Author Guidelines

This author guide is valid since Vol. 1 No.1 2019 to the next.

1. Create your ORCID ID in http://orcid.org/, download ORCID tutorial in here (ORCID Tutorial in Indonesia), (ORCID Tutorial in English)      
2. Insert your ORCID ID to the registration form.
3. Authors should submit only papers that have been carefully proofread and polished in the English Language
4. The work should not have been published or submitted for publication elsewhere, or extended version of previously published papers in conferences and/or journals.
5. All manuscripts must be submitted to Kalam Arabi Editorial Office by Online Submission at the journal portal Url: https://journal.umsida.ac.id/index.php/ANAMNETIC/about/submissions, where author register as Author and/or offered as Reviewer by online. If authors have any problems with the online submission, please contact Editorial Office at the following email: kalamarabi@umsida.ac.id.
6. The manuscript should be prepared according to the following author guidelines in the MS Word article template: (download) 
7. Cite the main scientific publications on which your work is based. 
8. Cite only items that you have read and on footnotes. 
9. Avoid excessive self‐citations. 
10. Avoid excessive citations of publications from the same region. 
11. Check each reference against the original source (author name, volume, issue, year, DOI Number). 
12. Please use Reference Manager Applications like EndNote, Mendeley, Zotero, etc. (we suggest Mendeley).
13. The following documents should accompany the manuscripts submitted by online through online submission interface (as supplementary files and letter to the editor):

• A covering letter outlines the basic findings of the paper and their significance (an author roadmap research, curriculum vitae, and competing for interest) (as a letter to the editor and supplementary files) – (you can found on Step One and Four of Five Step Author Submission Process)
• Three types of manuscripts are acceptable for publication: Original Research Articles, Review Articles, and Book Review. 

Data Sharing

For sharing research data, this journal using Harvard dataverse to preserve research data, if you intend to preserve and sharing your research data for greater impact on global knowledge please pay attention on this instruction:

a. Definition of data that must be shared :

A "minimal dataset" can be defined to consist of the dataset used to reach the conclusions drawn in the manuscript with related metadata and methods, and any additional data required to replicate the reported study findings in their entirety. Include sufficient information for a researcher to understand data, and any citations to data from which the replication set is derived. Core descriptive data, methods, and study results should be included within the main paper, regardless of data deposition. Authors who have datasets too large for sharing via repositories or uploaded files should contact Rechtsidee for advice. (Adapted from PLOS' Data Policy)

b. Guidance on sharing datasets that derive from work involving human participants

Kalam Arabi recognizes that there are cases where for reasons of privacy, national security and commercial confidentiality the full data cannot be made openly available. In such cases researchers should share their data analysis under the least restrictive terms consistent with legal requirements, and abiding by the research ethics and guidelines of their community. This should include opening up non-sensitive data, summary data, metadata and code; and facilitating access if the owner of the original data grants other researchers permission to use the data. (Adapted from OKF's Open Economics Principles)

c. Guidance on Data Citation

If your research data is deposited at the same time as your manuscript using OJS' article submission form then a Data Citation will automatically be generated by the Harvard Dataverse. However, if your research data is already in a repository then here is the suggested Data Citation format to include when you submit your manuscript:

Author(s), Year, Dataset Title, Global Persistent Identifier, Data Repository or Archive, version, and subset.

For more information on Data Citation best practices please review Force11's Data Citation Principles.