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.
Welcome to volume 44 of the IASSIST Quarterly. Here in 2020 we start with a double issue on reproducibility (IQ 44(1-2)). The start of 2020 was in the sign of Corona. Though we are now only in the middle of the year, we can say with confidence that 2020 will be known for the closing down of nearly all public life. From our very own world this included the move of the IASSIST 2020 conference to 2021.
Welcome to the fourth issue of volume 43 of the IASSIST Quarterly (IQ 43:4, 2019). The first article is authored by Jessica Mozersky, Heidi Walsh, Meredith Parsons, Tristan McIntosh, Kari Baldwin, and James M. DuBois – all located at the Bioethics Research Center, Washington University School of Medicine, St. Louis, Missouri in USA. They ask the question “Are we ready to share qualitative research data?”, with the subtitle “Knowledge and preparedness among qualitative researchers, IRB Members, and data repository curators.
Welcome to the third issue of volume 43 of the IASSIST Quarterly (IQ 43:3, 2019). Yes, we are open! Open data is good. Just a click away. Downloadable 24/7 for everybody. An open government would make the decisionmakers' data open to the public and the opposition. As an example, communal data on bicycle paths could be open, so more navigation apps would flourish and embed the information in maps, which could suggest more safe bicycle routes.
Welcome to the second issue of volume 43 of the IASSIST Quarterly (IQ 43:2, 2019). With joy and pride the many people behind each issue of the IQ are here presenting a special issue. IASSIST has several interest groups of members committed to selected important areas under the umbrella of IASSIST. Be aware that you could become a member of an interest group (see: Committees and groups). If an interest area that you find important is not presently on this list, you are invited to start campaigning for the formation of a new interest group.
Welcome to the first issue of volume 43 of the IASSIST Quarterly (IQ 43:1, 2019). The IASSIST Quarterly presents in this issue three papers illustrated in the title above. Chronologically we start from an early beginning. No, not with Turing, we time travel further back and experience ancient Greece. In this submission the Greek drama delivers the form, while data librarians deliver the content on data sharing. And it makes you a proud IASSISTer to know that altruism is the rationale behind data sharing.
Welcome to the fourth issue of volume 42 of the IASSIST Quarterly (IQ 42:4, 2018). The IASSIST Quarterly presents in this issue three papers. When you know how, cycling is easy. However, data for cycling infrastructure appears to be a messiness of complications, stakeholders and data producers. The exemplary lesson is that whatever your research area there are often many views and types of data possible for your research. And the fuller view does not make your research easier, but it does make it better.
Editor’s notes: *Digital curation after digital extraction for data sharing* Welcome to the third issue of volume 42 of the IASSIST Quarterly (IQ 42:3, 2018). The IASSIST Quarterly presents in this issue three papers from geographically widespread countries. We call IASSIST ‘International’, so I am happy to present papers from three continents in this issue with papers from Zimbabwe, Italy and Canada. The paper ‘The State of Preparedness for Digital Curation and Preservation: A Case Study of a Developing Country Academic Library’ is by Phillip Ndhlovu, who works as the institutional repository librarian and liaison librarian, and Thomas Matingwina, who is a lecturer at the Department of Library and Information Service at the National University of Science and Technology (NUST) in Bulawayo, Zimbabwe.