Paper related data refer to data generated through basic research, applied research, or experimental operations that support the publication of academic papers. It also includes raw and derived data obtained through observation, investigation, testing, or analysis, which contribute to the formation of figures, tables, and research conclusions in the paper. Sharing such data serves as crucial evidence supporting research findings and conclusions, enhancing the verifiability and transparency of research. Data sharing increases the visibility and impact of scientific journal articles, facilitates data reuse to save resources, and allows researchers to focus on innovative studies. Moreover, as a new type of academic output, paper-related data promote interdisciplinary collaboration, talent development, and open scientific practices.
Progress in Biochemistry and Biophysics encourages authors to submit their related research data for public preservation and sharing and has formulated this policy to guide data sharing.
Paper-related data mainly include:
(1) Data directly supporting the conclusions of the paper, which should be shared;
(2) Data generated or analyzed by the authors during their research and reflected in the paper, which the journal encourages authors to share;
(3) Original, unprocessed data obtained through experiments or observations that are not explicitly reflected in the paper, which authors may choose to share voluntarily.
Data that involve research ethics, sensitive information, confidential content, or third-party rights should not be shared. If such data have been irreversibly anonymized or can be shared for other legal and reasonable reasons, authors may provide a de-identification statement or relevant documentation to enable data sharing.
This journal recommends Science Data Bank (ScienceDB) (see Appendix 1 for the ScienceDB data submission process) or other data repositories that meet the following criteria as platforms for sharing paper-related data:
(1) The repository must assign a discoverable identifier to scientific data;
(2) The stored data should provide an accessible link for the editorial office and reviewers to review and a permanent access address for public sharing;
(3) The metadata and files should be interoperable and support open metadata harvesting;
(4) The repository should facilitate data reuse by providing standardized metadata and distribution channels.
Authors may choose from the following internationally recognized data licensing agreements: CC0, CC BY 4.0, CC BY-SA 4.0, CC BY-NC 4.0, CC BY-NC-SA 4.0, CC BY-ND 4.0, CC BY-NC-ND 4.0 (listed in decreasing order of openness) and ODbL (for database-type data). Data users must comply with the licensing terms chosen by the authors. To maximize the dissemination and sharing of paper-associated data, this journal recommends using the CC BY 4.0 license.
There are no restrictions on the data format for submission. However, for better reusability and long-term accessibility, authors are encouraged to refer to the recommended formats listed in Appendix 2.
Authors may choose to share their paper-related data either directly or conditionally, depending on the circumstances.
Upon passing the review process, the submitted data will be immediately published, and both metadata and data files will be openly accessible to the public.
Access after a protection period: Authors may set a protection period during which only metadata will be accessible to the public, while the data files remain unavailable. After the protection period expires, the data will become publicly available.
Access upon request: If specific reasons prevent open sharing, data users must request access from the authors. Only upon authorization or approval by the authors can the data be accessed. Authors must provide the journal with a written explanation and supporting documents for data that cannot be openly shared.
The journal is responsible for reviewing data published within the article itself. However, the data repository will conduct a formal review of the submitted shared data, checking whether the data have been uploaded, whether they are accessible, and whether a Data Availability Statement (if required) has been submitted.
Authors are encouraged to complete the submission of related data before the final publication of the paper. After submitting the data, authors should notify the editorial office with the dataset title and unique identifier (e.g., DOI, CSTR). A Data Availability Statement (see Appendix 3 for writing requirements) should be submitted to the editorial office. After verification, this statement will be published in the final paper, appearing after the main text and before the references.
Shared paper-related data can be cited separately. The citation format should follow GB/T 35294-2017: Information Technology – Scientific Data Citation, the national standard of the People's Republic of China.
Appendix 1: Science Data Bank(ScienceDB) Data Submission Process
Appendix 1
Appendix 2: Formatting Requirements for Paper Related DataAppendix 2
Appendix 3: Requirements for Writing the "Data Availability Statement"Appendix 3
Scan code to follow ® 2025 All Rights Reserved ICP:京ICP备05023138号-1 京公网安备 11010502031771号
