(Updated: 28/01/2022)

Checksum: A checksum is a sequence of numbers and letters used to verify data integrity, that is, whether a file is exactly the same after a transfer, verify that it has not been altered by a third party or is not corrupted.

Closed data: research data that cannot be freely used, reused, and redistributed.

Curatorship: data and metadata review process performed by a curator that ensures datasets are properly described and meet criteria defined by the research data repository.

Data paper: type of publication whose main purpose is to describe a collection or set of research data. They only contain information about the data, not extending to hypotheses, arguments, interpretations, deductions, or conclusions.

Dataset: term used to refer to research data files and their metadata.

Dataverse: Platform for storing datasets. In the context of SciELO Data, it is the space (container) of the journal within the SciELO Data repository where data related to the journal’s manuscripts or articles are deposited and stored. 

Embargoed data: research data whose access and reuse will be released after a predetermined period of time. 

FAIR Principles (Findable, Accessible, Interoperable e Reusable): set of guiding principles for the management and administration of scientific data. The purpose of the FAIR principles is to serve as a guideline for those who wish to increase data reuse by both individuals and computers.

Metadata: information about a research dataset for the purposes of author attribution, description, management, verification, and discovery.

Open data: Open data are data that can be used by anyone without technical or legal restrictions. The use encompasses both access and reuse. 

Replicability: is the achievement of consistent results between studies that aim to answer the same scientific question, each with its respective data. Two studies can be considered replicated if they obtain consistent results given the level of uncertainty inherent in the studied system.

Reproducibility: is obtaining consistent results using the same input data, computing steps, methods, code, and analysis conditions.

Research data: are factual records used as primary sources for scientific research, and that are commonly accepted in the scientific community as necessary to validate research findings.

Shared data: research data whose access, reuse, and redistribution are limited to certain individuals or groups.

References

DataverseNO. DataverseNO Policy Framework and Definitions. DataverseNO [online]. [viewed 9 December 2020]. Available from: https://site.uit.no/dataverseno/about/policy-framework/.

Fundação Oswaldo Cruz. Dados Abertos. Fundação Oswaldo Cruz [online]. [viewed 9 December 2020]. Available from: https://portal.fiocruz.br/dados-abertos-da-fiocruz.

SANTOS, S.M., and NASSI-CALÒ, L. Gestão editorial de periódicos científicos: tendências e boas práticas. In: SILVEIRA, L., SILVA, F.C.C. eds. Gestão Editorial de Periódicos Científicos – tendências e boas práticas [online]. Florianópolis: Universidade Federal de Santa Catarina, 2020. pp. 17-55. [viewed 9 December 2020]. Available from: https://doi.org/10.5007/978-65-87206-08-0/1.

Nanyang Technological University. NTU Research Data Policy. Nanyang Technological University [online]. [viewed 9 December 2020]. Available from: http://research.ntu.edu.sg/rieo/RI/Pages/Research-Data-Policies.aspx#4.

OECD. Making Open Science a Reality. OECD [online]. [viewed 9 December 2020]. Available from: http://dx.doi.org/10.1787/5jrs2f963zs1-en.

WILKINSON, M. et al. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data [online]. 2016, 3, 160018 [viewed 9 December 2020]. Available from: https://doi.org/10.1038/sdata.2016.18.