Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 19th Oct 2021, 02:46:27pm UTC
Cataloging of Biological Datasets in AgDados - the Embrapa Data Repository
Marcia Izabel Fugisawa Souza, Antonio Nhani Junior, Poliana Fernanda Giachetto, Paula Regina Kuser-Falcao, Leandro Carrijo Cintra, Luiz Antonio Falaguasta Barbosa, Luiz Manoel Silva Cunha, Marcos Cezar Visoli, Tercia Zavaglia Torres
Embrapa Agricultural Informatics, Brazil
Within the scope of a pilot project to implement omic data management actions, conducted by the Multiuser Laboratory of Bioinformatics of the Brazilian Agricultural Research Corporation (Embrapa), and the Information Engineering Research Group (GPEI), from Embrapa Informática Agropecuária, the task of cataloging data sets in the Embrapa Data Repository (AgDados) was defined as a priority. The purpose of the reported study was to define and establish minimum rules for cataloging biological datasets in the AgDados, guided by international standards for descriptive cataloging; and compatible with the FAIR principles. In this process, four aspects were determined: minimum rules for describing datasets; metadata elements compatible with the Dataverse software; set of common attributes to guide the description of metadata elements; rules to guide the completion of each element, field of Citation Metadata and Life Science Metadata. These results compose a set of basic rules for cataloging datasets, and are intended to support the cataloger during the task of describing the data within the AgDados. The study presents an effective contribution to: organization and systematization of the main activities of cataloging biological datasets in AgDados; generation of qualified metadata in accordance with international standards of descriptive representation, and compatible with the FAIR principles.
Preserving Podcasts: An Institutional Repository Case Study
Erik A. Moore, Valerie M. Collins
University of Minnesota, United States of America
In response to the 2020 global pandemic, the University of Minnesota Archives sought to gather digital content documenting the public health crisis and institutional response to COVID-19. Staff identified university produced podcasts from several departments as information-rich contemporaneous content that was also at high risk of loss. Staff conducted a campus-wide survey to identify content and types of platforms to determine the steps to ingest podcasts into the institutional repository. The outcomes demonstrate that the use of an institutional repository to preserve podcast content provides many of the same benefits as for other types of traditional repository content. The inclusion of podcast media in IRs also demonstrates how moving beyond traditional academic content and formats helps to reach a broader, more community-focused audience and user base, increasing the repository impact with those outside of the academic context.
Hodgepodge or Showcase?
Virginia Tech, United States of America
Since the IR may serve the institution as a digital library, it should accurately reflect the institution’s scholarship and activities. But how can we determine whether this is the case? This study proposes selecting several microcosms, creating a controlled vocabulary of terms and phrases, searching the vocabulary at the institution-level and in the IR, and comparing the percentage of hits in each.
Assessing IRs from the perspective of its content is not a frame of reference generally used. This study compared three microcosms in the IR with the same microcosms in the institution at large--LGBTQ, Indigenous People, and Latinx. What percentage of similarity be considered a close enough correlation? While this is a review of one IR at a doctoral-granting land grant institution, a discussion of the methodology and results could lead to cross-IR analyses.
This presentation will describe developing the vocabularies, search strategies using the advantages and short-comings of Google and Solr, and what the data revealed about VTechWorks, the IR at Virginia Tech. Studying these microcosms within the IR also revealed the use or non-use of terms and phrases by certain author communities, e.g., graduate students through their ETDs and faculty through their published articles.