Good science practices in the drawing up of data management plans
Revista Digital de Biblioteconomia e Ciencia da Informacao, ISSN: 1678-765X, Vol: 17
2019
- 3Citations
- 11Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Institutions and research agencies have demanding conduct in the context of the Open Science agenda. The elaboration of a Data Management Plan can be characterized as an initial procedure for the development of scientific research, a document that proposes the researcher to manage the raw data of his research, valuing sharing together with the opening of data and its reuse for the benefit of researchers and society. Therefore, the objective of this work was to verify the elaboration of a Data Management Plan as part of the new conducts for the good practices in scientific research. The research was characterized as exploratory, documentary and bibliographic methods were used for the identification, collection and systematization of information. The results aimed at the availability of this document in open data repositories and the relationship of higher education institutions, funding agencies and researchers with the survey of actions that are carried out in the creation and development of Data Management Plan, mainly for the development of institutional policies for the management of research data, but also respecting areas of knowledge, since not all data is generated in the same way. In addition, it is evident that there is a new paradigm in scientific publication and dissemination, which also influences its communication, be it with the academic environment or with society.
Bibliographic Details
Universidade Estadual de Campinas
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know