Journal Data Policy for Depositing & Sharing Paper Related Data
1. The Significance of Paper Related Data Sharing
“Paper Related Data” refers to the data generated through basic research, applied research, experimental development, etc. to support the publication of academic papers, as well as data obtained through observation, monitoring, investigation, inspection and testing, etc. and used to form papers’ charts and the raw data or its derived data support the research conclusions of the paper. The sharing of paper related data is an important evidence for the research results and conclusions of the paper, improving the verifiability and transparency of the research; the sharing of data improves the attention and influence of scientific journal papers; the reuse of data saves manpower and material resources, allowing scientists focus on innovative research; paper related data as a new type of academic achievement will promote innovative cooperation and talent training among disciplines, and promote open scientific practice.
2. Types and Requirements of the Paper Related Data
The data used to directly support the conclusions of the paper shall be shared; the data generated from the research of the paper and reflected in the paper, or the data reused or analyzed for the research of the paper are encouraged to be shared; the raw data, unprocessed data from paper related experiments or observations that are not reflected in the paper are shared voluntarily. Data involving research ethics issue, sensitive information, confidential information, or sharing data that would damage the legitimate rights and interests of third parties should not be shared. For data that should not be shared, if irreversible desensitization processing has been performed or it can be shared for other legitimate and reasonable reasons, the data author can share it after providing a desensitization statement or other supporting documents.
The journal encourages authors to submit the paper related data for public preservation, to ensure that the conclusions of the paper are verifiable and reusable, improve the credibility of the paper, and maintain the academic reputation of the paper author. The paper which submitted the related data will be eligible for priority review, priority acceptance, and priority publication. If there is an excellent paper selection activity in the journal, priority will be given to papers that have submitted the related data.
3. Preferred File Format
The journal does not impose restrictions on the format or subject area of the data submission. However, in terms of data reusability and long-term access, it is better to refer to the list of recommended formats first.
If the format of the selected data file is not yet listed in the table below, the journal recommends that authors evaluate the reusability and long-term sustainable accessibility of the data file independently based on the following three aspects:
(1) whether the format is common in your discipline;
(2) whether the format has open standards;
(3) whether the format is independent of a peculiar software application, developer or supplier.
If the format you use is not in the list, your submission should meet all or most of the criteria above.
If the selected data file requires specific or non-standard software to open and use, the author should also provide relevant information such as the name of the software and instructions for its use.
|
File type |
Preferred format |
|
Plain text |
Unicode text(.txt) |
|
Markup language |
XML(.xml) |
|
Text documents |
PDF/A(.pdf) |
|
RDF |
RDF/XML (.rdf) |
|
Spreadsheets |
CSV(.csv) ODS(.ods) |
|
Databasefile |
SQL(.sql) |
|
Statistical data |
SPSS Portable (.por) |
|
Raster images |
JPEG (.jpg, .jpeg) |
|
Images (vector) |
SVG (.svg) |
|
Audios |
BWF (.bwf) |
4. Data Storage Method
(1) Data Repository
The paper related data encourage to be submitted and shared in a data repository. The data repository is: Science Data Bank (ScienceDB), https://www.scidb.cn/en/c/jia.
(2) Data Identifier
The data submitted and published in the data repository will receive the unique identifier (such as CSTR, DOI) for querying and accessing the data. If the content, location, and other information of the paper related data need to be presented in the paper, please provide the web link of data’s unique identifier (e.g.: https://cstr.cn/31253.11.sciencedb.01092， https://doi.org/10.11922/sciencedb.01092) as a data link in the paper.
5. Data Sharing Method
A. Open Access
When authors choose the open access mode, the submission will be open accessed immediately once acceptance. The open content includes both metadata and data files.
B. Conditional Access
·Accessing after the embargo period
This option is applicable for data that should not be shared immediately. Authors are allowed to set an embargo period for your research data. During the period, only metadata could be accessed openly, and data files would be forbidden to the public. After the embargo period, the data is automatically converted to open access status, and its metadata and data files are accessible to the public.
·Accessing on requesting
This option is applicable for data that should not be shared openly but can be accessed on reasonable requesting. The decision whether to grant/deny access is solely under the responsibility of the data authors. However, in this option, authors should explain the reason in writing and provide necessary supporting materials to the journal.
6. Data Rights Management
(1) Data Submission
Authors should confirm that they have the right to submit the data, and the intellectual property rights related to the data are owned by the original rights holder and will not be transferred to this journal.
(2) Data License
Data users must use the data in accordance with the data license agreement chosen by the author.
Authors can choose from the following data licenses (include but are not limited to): CC0, CC-BY 4.0 (attribute), CC BY-SA 4.0 (attribute-share alike), CC BY-NC 4.0 (attribute-non-commercial), CC BY-NC-SA 4.0 (attribute- non-commercial- share alike), CC BY-ND 4.0 (attribute-no derivative), CC BY-NC-ND 4.0 (attribute-non-commercial-no derivative) and ODbL (attribute-share alike-keep open). Please refer to the full-text version of CC license: https://creativecommons.org/about/cclicenses/; Please refer to the full-text version of ODbL license: https://opendatacommons.org/licenses/odbl/1-0/.
In order to better disseminate and share paper related data, The journal recommends authors to use the CC-BY 4.0 license agreement.
7. Data Review
The data repository will execute the stylistic review of the paper related data submitted by authors, mainly reviewing whether the data has been uploaded, whether the uploaded data is accessible, and whether the submit the Data Availability Statement (if requested), etc.
Authors should complete the data submission during the paper publishing stage.
8. Data Availability Statement
“Data Availability Statement” is an explanatory document or text on whether the paper related data can be obtained and the specific way of obtaining it. It mainly includes the storage method and access link of the paper related data. The use of the “Data Availability Statement” helps to improve research transparency and reproducibility, and is of great significance to the repeated verification of the paper’s conclusions, data reuse, and research integrity.
The Data Availability Statement should include the following: how the data is stored and access links, a unique identifier for the data (if any), and the name of the software or tool that opens or uses the data. If the paper related data is data that should not be shared, the specific conditions and methods for accessing the data should be clearly stated and given. Authors should attach the Data Availability Statement after the main body of the paper and before the reference.
The Data Availability Statement template is as follows, for author’s reference:
1) General Template: The related data (DOI/CSTR: , e.g.: CSTR：31253.11.sciencedb.01092，DOI：10.11922/sciencedb.01092) for this paper is available in the (database name, e.g.: Science Data Bank) database (web link of data’s unique identifier, e.g.: https://cstr.cn/31253.11.sciencedb.01092，https://doi.org/10.11922/sciencedb.01092).
2) Data requiring special software tools to open: The related data (DOI/CSTR: , e.g.: CSTR：31253.11.sciencedb.01092，DOI：10.11922/sciencedb.01092) of this paper can be accessed in the (database name, e.g.: Science Data Bank) database (web link of data’s unique identifier, e.g.: https://cstr.cn/31253.11.sciencedb.01092，https://doi.org/10.11922/sciencedb.01092), and the software for opening the data is (software name, e.g.: Sandboxie).
3) Data available on request: The related data of this paper is data that should not be shared publicly because (Reasons not suitable for public sharing, e.g.: potential conflicts of interest that may exist), and can be obtained through application based on reasonable reasons. The data access application link is: (web link of data’s unique identifier, e.g.: https://cstr.cn/31253.11.sciencedb.25151，https://doi.org/10.57760/sciencedb.25151).
4) Data that cannot be shared: The related data of this paper cannot be shared due to (reasons for inability to share, e.g.: involving personal privacy data).
5) Data sharing not applicable: This paper (reason for no paper related data, e.g.: conducted within theoretical and mathematical methods) does not generate or analyze any data, therefore there is no paper related data.
9. Data Citation
Paper related data should be credited as the result of the author’s intelligent labor. Data citation can enhance the influence of scientific data and provide evidence for the research that cites the data.
The author should cite data(set) in a standardized manner in the references. The data citation format required by this journal is as follows:
Ø Format: Author. Publication Year. Title[DS/OL]. Version. Storage Location. [Reference Date]. Resolve address. Identifier.
Ø Example: Di Li, Pei Wang, Weiwei Zhu. 2023. A bimodal burst energy distribution of a repeating fast radio burst source[DS/OL]. V3. Science Data Bank. [2024-11-19]. https://cstr.cn/31253.11.sciencedb.01092. CSTR:31253.11.sciencedb.01092.
10. Help and Support
(1) Data Submission Process: Science Data Bank (ScienceDB)
Ø Registration and Login: The author can choose the account of the data repository to register and log in, or select the third-party user to authenticate login supported by the repository.
Ø Data Submission and Edit: The author creates a new data through the data submission entry, at which time the data is assigned the unique identifiers (CSTR and DOI) and private links. In this process, the author fills in metadata information, uploads data files, selects open sharing mode and other information. At this time, the author can temporarily save the draft and edit the information until submission. After data submission, if the data auditor revises the data, users need to modify the data until the data is approved. Before data release, data can only be reviewed by editorial department through the private link.
Before data release, the data can only be disseminated through private link and anonymous private link for editorial review, etc. If you need to use it for paper or data review, you can select the corresponding dataset on the “My Data Hub” homepage, choose “Private Link” in the “View” column, copy the “Data private access link” and send it to the recipient; If used for blind review of papers or data, you can copy the “Data anonymous private link” in the aforementioned path and send it to the recipient.
Ø Data Release and Dissemination: After releasing, the unique identification of the data takes effect and the data can be retrieved on the repository and dissemination index platform.
Ø Data Release and Dissemination: After releasing, the unique identification of the data takes effect and the data can be retrieved on the repository and dissemination index platform. Please copy the unique identifiers (CSTR and DOI) for data sharing and dissemination.
(2) Contact Information
For more questions about paper related data submission, please contact:Editorial Office of Journal of Integrative Agriculture, Tel: +86-10-82106279, E-mail: jia_journal@caas.cn.
Copyright © Journal of Integrative Agriculture
Sponsored by Chinese Academy of Agricultural Sciences (CAAS)
Co-sponsored by China Association of Agricultural Science Societies (CAASS)
Publishing Service by Elsevier B.V.on behalf of KeAi Communications Co. Ltd.
Full text available online at ScienceDirect
