Welcome to the second issue of IASSIST Quarterly 2021 (IQ vol. 45(2) 2021) . Data management is the focal point of the articles in this issue of the IQ. Aspects of data management have often been the central topic of many earlier IQ articles. Metaphorically simply said: Data is what IASSIST members breathe - data management is how we breathe it. The first two articles concern raising the attention and knowledge of data management among students and researchers.
Final Call: Systemic Racism in Data Practices Inspired by the work of Black scholars, technologists, and activists including Dr. Safiya Noble, Yeshimabeit Milner, and Joy Buolamwini, IASSIST Quarterly is publishing a special issue focusing on systemic racist practices in data. We invite you to submit a proposal that discusses anti-Blackness, anti-indigeneity, white supremacy, and racism against minoritized and marginalized communities in data, research, tools, and practices. Case studies, essays, book reviews, and articles will be considered.
Welcome to the IASSIST Quarterly first issue of 2021 and of volume 45 (IQ 45(1) 2021). I always find it interesting to learn more about other research areas. Often, I find approaches in less well-known areas can be transformed and transferred to my own areas, or make me aware of problems unwisely ignored hitherto and becoming potentials. In the case of the first article, you will become aware of the connection with linguistics from a data viewpoint.
The IASSIST Africa Chapter Workshop held from 11th to 13th of January 2021 at Makerere University, Kampala, Uganda was attended physically and virtually by participants from all over the world. The President of IASSIST, Prof. Sandra Cannon and the President of Association of Parliamentary Librarians of Eastern and Southern Africa were among the international personalities that graced the conference. This justified the universality nature of the workshop by attendance, participation, coverage and delivery.
This workshop was held at the College of Computing and Information Sciences within Makerere University with participants attending either physically and virtually. Remember, IASSIST has been in existence for 40 years and still growing higher and higher. Several themes were discussed and each participant, according to their presentations, had put in much effort to share at the Africa Regional Workshop. A presentation by Kofi Dokli took my attention because, as they planted maize and backyard farming of, they also did family backyard farming in cucumber and okra, they also found out variances in the weather between northern and southern Ghana.
Hi folks. The short version: A group of IASSIST members has been discussing a project to compile resources useful for anti-racist/anti-racism research. We would like wider input on what type of resource would be most helpful. The longer version: You may remember, my original idea was to compile datasets documenting racism and the Black experience internationally. Then I met Nancy Kassam Adams (virtually), who was working on compiling tools, articles, and rubrics for building anti-racism into the process of working with data across the research lifecycle.
Welcome to the fourth issue of 2020 and the last issue of volume 44 of the IASSIST Quarterly (IQ 44(4) 2020). At a future time, there might be a special issue of IASSIST Quarterly on ‘Corona data’. Right now, the numbers are rising as we are entering winter, but on the other hand vaccination is around the corner. I hope that only 2020 will be remembered as the year of the Coronavirus, and that 2021 will bring us better times.
Systemic Racism in Data Practices Inspired by the work of Black scholars, technologists, and activists including Dr. Safiya Noble, Yeshimabeit Milner, and Joy Buolamwini, IASSIST Quarterly is publishing a special issue focusing on systemic racist practices in data. We invite you to submit a proposal that discusses anti-Blackness, antiindigeneity, white supremacy, and racism against minoritized and marginalized communities in data, research, tools, and practices. Case studies, essays, and articles will be considered.
Welcome to the third issue of volume 44 of the IASSIST Quarterly (IQ 44(3) 2020). Transparency is a prerequisite for valid analysis of data. Full disclosure of all aspects of the creation process is necessary for the evaluation of a data collection. The Roper Center has collaborated, assembled and developed standards, and performed scoring of datasets to facilitate the evaluation of data. It is easy to say that all aspects of data collection are important, but with more knowledge about the process of data curation PhD students become aware of how it is important for their research.
Since the murder of George Floyd in Minneapolis in May, race and racism have been in the headlines around the globe. The Black Lives Matter movement may have been born out of a uniquely American situation but the wrongs against which it protests exist in other parts of the world. If we learn nothing else from the current global focus on racism and its historical precedents, we learn that taking comfort in being ‘not racist’ is insufficient, bordering on complacent.