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Research Data Management behaviors in the image lifecycle
Research data management (RDM) practices are critical to ensuring research success. Data can take different formats and data in image format has been little studied in RDM. To... -
Analysis of the DigitArq archive record entities and their properties in...
This dataset, which is the product of a master's dissertation (https://hdl.handle.net/10216/143034), analyzed a sample of 25 records from the Portuguese National Archives... -
Images to describe data: Summary of interview transcripts to assess the role...
The description is one of the most important phases of the RDM process. Taking this idea into consideration, we used a qualitative method of investigation through an exploratory... -
Evaluation of the adoption of the RDA recommendations
This work describes the work carried out wit several participants, from the University of Porto community, to promote of the adoption of the recommendations of the Research Data... -
Multi-domain data description sessions follow-up questionnaires
This dataset consists in data from 13 multi-domain data description sessions follow-up questionnaires. Researchers from the University of Porto participated in a data... -
User evaluation of the DigitArq and DigitArq+ interfaces
This dataset is part of a dissertation entitled "Evaluation of the migration of archival records to linked data in the EPISA project" (https://hdl.handle.net/10216/143042 ).... -
Analysis of the interviews with DGLAB archivists and DGLAB satisfaction survey
This dataset contains the script used to interview the archivists at the DGLAB (General Directorate of Archives, Libraries and Books) and the questions analysed in the DGLAB... -
ENCKEP Evaluation module: code and case studies
The content of the dataset is twofold: I. It contains the results of two case studies made by the ENCKEP Simulation tool, developed within the COST ActionENCKEP COST Action:... -
Tackling Class Imbalance with Ranking
The dataset comes originally from UCI Machine Learning. The multiclass datasets were transformed in binary classification as mentioned in the paper. Ranking methods were applied...
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