主管：中国科学院
主办：中国优选法统筹法与经济数学研究会
中国科学院科技战略咨询研究院
主办：中国优选法统筹法与经济数学研究会
中国科学院科技战略咨询研究院
I. The Significance of Sharing Data Associated with Papers
Data associated with papers refers to data generated through basic research, applied research, experimental development, etc., that is used to support the publication of academic papers, as well as original data and derived data obtained through methods such as observation and monitoring, investigation and surveying, and inspection and testing, and used to form paper figures and tables and support paper research conclusions.
The sharing of data associated with papers has multiple significances: First, data is important evidence for the research results and conclusions of papers, and sharing can enhance the verifiability and transparency of research; second, open access to data helps increase the attention and influence of scientific journal papers; third, the reuse of data can save manpower and material resources, allowing researchers to focus on innovative research; fourth, paper data, as a new type of academic achievement, will promote innovative cooperation and talent cultivation across disciplines and advance open science practices. This journal encourages authors to share data associated with papers to the maximum extent possible under the premise of compliance, and promotes data compliance with the FAIR principles (findable, accessible, interoperable, and reusable).
Ⅱ. Types of Data Associated with Papers and Sharing Requirements
This journal implements tiered sharing management for data associated with papers, specifically divided into the following levels:
(I) Data that must be shared
Data used by authors to directly support paper conclusions must be shared. Such data is necessary evidence for the validity of paper conclusions, and failure to share it will affect the verifiability of the paper.
(Ⅱ) Data encouraged to be shared
Data generated by authors in conducting research for the paper topic and reflected in the paper, or data reused or analyzed by authors in conducting research for the paper topic, are encouraged by this journal to be shared by authors.
(Ⅲ) Data shared voluntarily
Original, unprocessed data obtained by authors from experiments or observations in conducting research for the paper topic and not reflected in the paper may be shared at the author's voluntary discretion.
(Ⅳ) Data not suitable for sharing and exceptional handling
Data involving research ethics, sensitive information, confidential information, or circumstances in which sharing data would harm the legitimate rights and interests of third parties are not suitable for sharing. For data not suitable for sharing, if irreversible de-identification has been carried out, or if it can be shared for other lawful and reasonable reasons, it may be shared after the data author provides a de-identification statement or other supporting documents.
(V) Circumstances in which there is no data associated with the paper
If the paper research is conducted within theory and mathematical methods and does not generate or analyze any data, the author should clearly state this in the data availability statement.
Ⅲ. Data Standards and Formats
The sharing of data associated with papers does not restrict the data format submitted by authors. However, considering aspects such as data reusability and long-term accessibility, authors are requested to preferentially refer to the list of recommended formats. If the selected data file format is not yet on the recommended list, authors should self-assess the reusability and long-term sustainable accessibility of the data file from the following three aspects:
The file format adopted is a commonly used format in the field;
The file format adopted has open specifications or standards;
The file format adopted is independent of specific software, developers, or suppliers.
If the above requirements cannot be fully met, please also satisfy these three principles as much as possible. If the selected data file must be opened or used with specific and non-universal software, authors are requested to also provide information such as the name of the relevant software and how to use it, and explain this in the data availability statement.
List of recommended file formats:
|
File Type |
Recommended Format |
|
plain text file |
Unicode text(.txt) |
|
Markup language files |
XML(.xml) |
|
text file? |
PDF/A(.pdf) |
|
RDF |
RDF/XML (.rdf) |
|
Spreadsheets |
CSV(.csv) ODS(.ods) |
|
Database files |
SQL(.sql) |
|
Statistical data |
SPSS Portable (.por) |
|
Raster images |
JPEG (.jpg, .jpeg) |
|
Vector images |
SVG (.svg) |
|
Audio files |
BWF (.bwf) |
Ⅳ. Data Storage Methods
(I) Data Repository
Data associated with papers should be submitted and shared in a data repository. The data repository is: Science Data Bank (ScienceDB).
(Ⅱ) Data Identification
Data submitted and published in the data repository will obtain a unique data identifier (such as CSTR, DOI), which is used to query and access the relevant data. If the content, location, and other information of the associated data need to be presented in the paper, please place the web link of the unique data identifier (for example: https://cstr.cn/31253.11.sciencedb.01092, https://doi.org/10.11922/sciencedb.01092) as the data link in the text.
(Ⅲ) Data Submission Time
Authors should complete the submission of data associated with the paper at the paper acceptance stage. After the data is reviewed, approved, and published, the unique data identifier takes effect, and the data can be retrieved on the platform and dissemination indexing platforms.
V. Methods of Data Sharing
(I) Direct Sharing
Once the data associated with the paper submitted by the author passes review, it will be published immediately, that is, the metadata and data files will be open to the public for access and retrieval.
(Ⅱ) Conditional Sharing
After the protection period, the data will automatically become open access, and the public may access and retrieve its metadata and data files.
Access upon application: If the data associated with the paper submitted by the author is not suitable for open sharing for special reasons, data users must submit a data access application to the author and may obtain the data files only after obtaining the author's authorization or consent. For data not suitable for open sharing, the author should provide this journal with a written explanation of the relevant circumstances and provide relevant supporting materials.
Ⅵ. Data Rights Management
(I) Data Submission
Authors should confirm that they have the right to submit the data. The intellectual property rights related to the data are enjoyed by the original rights holders and will not be transferred to this journal.
(Ⅱ) Data Use
Data users must use the data in accordance with the data use license agreement selected by the author.
The data use license agreements that authors may choose include but are not limited to: CC0 (Waiver), CC-BY 4.0 (Attribution), CC BY-SA 4.0 (Attribution-ShareAlike), CC BY-NC 4.0 (Attribution-NonCommercial), CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike), CC BY-ND 4.0 (Attribution-NoDerivatives), CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives), and ODbL (Attribution-ShareAlike-Keep Open; this agreement is applicable to large-scale datasets or databases).
For the full version of the CC agreements, please see: https://creativecommons.org/about/cclicenses/;
For the full version of the ODbL agreement, please see: https://opendatacommons.org/licenses/odbl/1-0/.
In order to better disseminate and share data associated with papers, this journal recommends that authors use the CC-BY 4.0 license agreement.
Ⅶ. Data Review
The data storage platform conducts a formal review of the data associated with the paper submitted by the author, mainly reviewing whether the data have been uploaded, whether the uploaded data are accessible, whether a data availability statement has been submitted (if required), and other such content.
Authors should complete the submission of data associated with the paper at the acceptance stage.
Ⅷ. Data Availability Statement
(I) Significance and Requirements of the Statement
The "Data Availability Statement" is a document or text explaining whether the data associated with the paper can be obtained and the specific methods of obtaining it. It mainly includes the storage method of the data associated with the paper, access links, unique identifiers, and the names of software or tools for opening or using the data. The use of the "Data Availability Statement" helps improve research transparency and reproducibility, and is of great significance for the repeated verification of paper conclusions, data reuse, and research integrity.
All submitted papers must include a "Data Availability Statement." Authors should attach the "Data Availability Statement" after the main text of the paper and before the references.
(II) Statement Templates
The "Data Availability Statement" templates are as follows, for authors' reference:
General template (direct sharing)
The data associated with this paper (CSTR/DOI:) can be accessed and obtained in the (database name) database (web link of the unique data identifier).
Example: The data associated with this paper (CSTR: 31253.11.sciencedb.01092, DOI: 10.11922/sciencedb.01092) can be accessed in the Science Data Bank database (https://cstr.cn/31253.11.sciencedb.01092, https://doi.org/10.11922/sciencedb.01092).
Data requiring special software tools to open
The data associated with this paper (CSTR/DOI:) can be accessed and obtained in the (database name) database (web link of the unique data identifier). The software for opening the data associated with this paper is (software name).
Data obtained upon application
The data associated with this paper are data not suitable for open sharing because of (reason why it is not suitable for open sharing, example: potential conflicts of interest that may exist). It can be obtained upon application based on reasonable grounds. Data access application link: (web link of the unique data identifier).
Data that cannot be shared
The data associated with this paper cannot be shared because of (reason why it cannot be shared, example: involving personal privacy data).
No data associated with the paper
This paper (reason why there is no data associated with the paper, example: was conducted within theory and mathematical methods) does not generate or analyze any data, and therefore has no data associated with it.
Ⅸ Data Citation
Data associated with papers, as the author's intellectual labor achievement, should be respected and recognized. Standardized data citation can enhance the influence of scientific data and, at the same time, provide evidence for research that cites the data. Authors should standardize the citation of data (sets) in the references.
The data citation format required by this journal is as follows:
Author.Title [DS/OL]. Version. Storage address.Publication year [citation date]. Resolution address. Unique identifier.
Example: Di Li, Pei Wang, Weiwei Zhu, et al. A bimodal burst energy distribution of a repeating fast radio burst source[DS/OL]. V3. Science Data Bank, 2023[2024-11-19]. https://cstr.cn/31253.11.sciencedb.01092. CSTR:31253.11.sciencedb.01092.
X. Help and Support
(I) Data Submission Process: Science Data Bank (ScienceDB)
Platform registration and login: Authors may choose to register and log in with a data repository platform account, or may choose third-party user authentication login supported by the repository platform.
Data submission and modification: Authors create a new dataset through the data submission entrance. At this point, the data is assigned a unique identifier (CSTR and DOI) and a private access link. In this process, authors fill in metadata information, upload data files, select open sharing methods, and provide other information. At this stage, authors may save drafts temporarily and make changes to the information until submission. After the data is submitted, if the data reviewer provides modification comments, the user must modify the data until the data passes review.
Before data publication, the data may only be disseminated internally through private access links and anonymous private links for editorial review and other internal purposes. If it needs to be used for paper or data review, authors may select the corresponding dataset on the "My Data Center" homepage, select "Private Link" in the "View" column, copy the "Private Access Link," and send it to the receiving party; if it needs to be used for blind review of papers or data, authors may, under the aforementioned path, copy the "Anonymous Private Link" and send it to the receiving party.
Data publication and dissemination: After the data passes review and is published, the unique data identifier takes effect. The data can be retrieved on the platform and dissemination indexing platforms, and the unique data identifier (CSTR and DOI) can be copied for data sharing and dissemination.
Data updates: Once data is published, if files need to be added or data update operations need to be carried out, authors need to initiate the creation of a new version of the data and submit the update information. As with the old version, user update information must be reviewed before publication.
(Ⅱ) Support and Contact
For questions regarding the submission of data associated with papers, please visit:
https://www.scidb.cn/help?p=publishing_process
or send an email to:
Science Data Bank: sciencedb@cnic.cn
Appendix: Basis for the Formulation of This Policy
This policy is formulated in accordance with the principle of "openness as the norm, non-openness as the exception" in the Measures for the Management of Scientific Data (Guobanfa [2018] No. 17), with reference to the FAIR principles (findable, accessible, interoperable, and reusable), and in combination with the ScienceDB journal data policy customized template and the data policy practices of domestic and international scientific journals. If, during the implementation of the policy, there are adjustments to national laws and regulations or competent department policies, the latest provisions shall prevail.
Editorial Office of Chinese Journal of Management Science