New tools to improve the search for scientific information

Libya Munoz Aguilera

Normally, the loss of information from scientific studies and publications is very common because the journals do not usually publish the files or data tables of said studies. Changing this would improve the quality of scientific information that is published in the future and would help promote the replicability of studies.

Faced with this challenge, the research group cyberimaginary has carried out a study to identify scientific articles referring to the topics of circular economy and bioenergy. Using Zenodo's open repository, this team got three date seven as a result of a review process of the scientific literature framed in the areas of communication and education.

This is of great relevance since the data provided may be useful for the development of larger studies, meta-analyses -that collect results from multiple studies- and systematic reviews of the related scientific literature, as well as the future repetition of these studies (studies of replication). It could be applied to an emerging area of ​​research and be used in the theoretical framework of scientific studies, in addition to the fact that "they represent an opportunity for other researchers to replicate the research process or use the data in other studies", points out Alejandro Carbonell, co-author of the work and researcher of the Ciberimaginario group.

In order to reach these results, a process called Systematic Literature Review (SLR) has been carried out, which allows the recovery of scientific information and literature (such as articles, papers or book fragments) on a given subject of research. study. Through the PRISMA protocol, which is a model that establishes four action steps (Identification, Screening, Eligibility and Selection), specific criteria are established from which the desired information is obtained.

The process of analysis of the scientific information that is intended to be obtained has been carried out using the DESCLOSIS model, which consists of a file that allows collecting relevant information on the characteristics of the scientific literature to be obtained (area, objectives, hypotheses, methodologies, samples, etc.). techniques, etc.) in the area of ​​Social Sciences.

This studio, published in the scientific journal Data in brief, is within the BIOTRES-CM project, co-financed by the Community of Madrid, the European Social Fund and the European Regional Development Fund.