Research Data Management Policy

RIPPMar follows the Type 1 Research Data Management Policy, that is, it encourages the author, whenever possible and applicable, to deposit data that support the research results in a public repository. Authors who do not have a preferred repository are advised to check the convenience of depositing research data in one of the following generic repositories:

  1. Dryad;
  2. Figshare;
  3. Harvard Dataverse;
  4. Inter-university Consortium for Political and Social Research (ICPSR);
  5. Open Science Framework (OSF);
  6. Portal Brasileiro de Publicações e Dados Científicos em Acesso Aberto (Oasisbr);
  7. Repositório Institucional Unesp;
  8. Science Data Bank (SDB);
  9. The Qualitative Data Repository;
  10. UK Data Service;
  11. Zenodo.

The Data Management Plan (PGD) describes what data is collected or generated; what methodologies and standards are used in these processes; whether, how and under what conditions data are shared and/or made open to the scientific community; and how they are healed and preserved.

The PGD must include:

  1. Description of data and metadata produced by the project: samples, collection records, forms, models, experimental results, software, graphs, maps, videos, spreadsheets, audio recordings, databases, teaching material and others.
  2. When applicable, legal, or ethical restrictions on sharing such data, policies to ensure privacy, confidentiality, security, intellectual property, and others.
  3. Preservation and sharing policy (immediate sharing or only after acceptance of the associated publication); grace period (before sharing) and period during which data will be preserved and made available.
  4. Description of mechanisms, formats, and standards for storing such items, in order to make them accessible by third parties. This description may include the use of repositories and services from other institutions (FAPESP, 2021).

Submission of a document in the RIPPMar journal's OJS system implies that the data described in the document will be available to any reader who wishes to use them for non-commercial purposes, without violating the participant's confidentiality.

It is recognized that specific research data does not always exist, and it is not possible to share it publicly. Therefore, the author has the following options when submitting the submission (the statement must be provided as a separate section, titled ‘Data Availability’, at the end of the main text, before the References Section:

  • The data generated during this research is available in the [Name] repository, [Persistent Internet Link to Datasets].
  • Data generated during this research are available from the contact primary author upon request.
  • The data generated and/or analyzed during this research are included in the published text (or in Supplementary Information).
  • The data generated during this research is not publicly available for access due to [Reason], but is with the main contact author, who can analyze the possibility of sharing with anyone interested.
  • No datasets were generated or analyzed during the current study.