Clinical and Pathological Findings in SARS-CoV-2 Disease Outbreaks in Farmed Mink (Neovison vison)

SARS-CoV-2, the causative agent of COVID-19, caused respiratory disease outbreaks with increased mortality in 4 mink farms in the Netherlands. The most striking postmortem finding was an acute interstitial pneumonia, which was found in nearly all examined mink that died at the peak of the outbreaks. Acute alveolar damage was a consistent histopathological finding in mink that died with pneumonia. SARS-CoV-2 infections were confirmed by detection of viral RNA in throat swabs and by immunohistochemical detection of viral antigen in nasal conchae, trachea, and lung. Clinically, the outbreaks lasted for about 4 weeks but some animals were still polymerase chain reaction–positive for SARS-CoV-2 in throat swabs after clinical signs had disappeared. This is the first report of the clinical and pathological characteristics of SARS-CoV-2 outbreaks in mink farms

SARS-CoV-2 infection in farmed minks, the Netherlands, April and May 2020

Respiratory disease and increased mortality occurred in minks on two farms in the Netherlands, with interstitial pneumonia and SARS-CoV-2 RNA in organ and swab samples. On both farms, at least one worker had coronavirus disease-associated symptoms before the outbreak. Variations in mink-derived viral genomes showed between-mink transmission and no infection link between the farms. Inhalable dust contained viral RNA, indicating possible exposure of workers. One worker is assumed to have attracted the virus from mink

Reports on best practices for citability of data and on evolving roles in scholarly communication

Opportunities for Data Exchange (ODE) is a FP7 Project carried out by members of the Alliance for Permanent Access (APA), which is gathering evidence to support strategic investment in the emerging e-Infrastructure for data sharing, re-use and preservation. With the ever increasing availability of data, the best way to ensure its sharing and re-use is becoming a prominent issue. Finding data and understanding data are the first steps in such a process and good data citation is an important prerequisite to enable this. New roles are evolving to support researchers in this process with support in managing, archiving, discovering, interpreting and citing data. This report sets out the current thinking on data citation best practice and presents the results of a survey of librarians asking how new support roles could and should be developed. The findings presented here build on the extensive desk research carried out for the report “Integration of Data and Publication” (Reilly, Schallier, Schrimpf, Smit, & Wilkinson, Sept 2011), which identified that data citation was an area of opportunity for both researchers and libraries. That report also recounted the findings of a workshop held at the LIBER 2011 Conference in Barcelona

Report on integration of data and publications

Opportunities for Data Exchange (ODE) is a FP7 Project carried out by members of the Alliance for Permanent Access (APA), which is gathering evidence to support strategic investment in the emerging e-Infrastructure for data sharing, re-use and preservation. This report sets out to identify examples of integration between datasets and publications. Findings from existing studies carried out by PARSE.Insight, RIN, SURF and various recent publications are synthesized and examined in relation to three distinct disciplinary groups in order to identify opportunities in the integration of data. These groups are Researchers, Publishers and Libraries/Data centres. Opportunities identified for each group have been scoped against seven criteria: Availability,Findability, Interpretability, Reusability, Citability, Curation and Preservation. Opportunities to improve the linking of data and publications have been identified for each stakeholder group and mapped against each of the criteria in tables at the end of this summary. Based on an examination of the available research and literature, incentives and barriers relating to data exchange are identified for each disciplinary group. The content of a draft of this report formed the basis of a workshop in June 2011 with professionals from research libraries. The workshop served to validate this opportunities and issues identified in this report

Stronger together; collaboration as a matter of course - iPRES 2019 Amsterdam

A discussion panel will bring together the views of content providers, DP-service providers and user experts to investigate how cross stakeholder collaboration can ensure better digital preservation

Report on Peer Review of Research Data in Scholarly Communication

Quality assurance of scientific information is a precondition and integral part of digital long-term archiving. To operate successful digital long-term archiving, organizations from the fields of science, culture and business cooperate within the EU project, APARSEN. The objective of this project is to set up a “long-lived Virtual Centre of Digital Preservation Excellence”. Securing permanent access of quality assured research data on reliable repositories is a central concern of APARSEN. This report documents ideas, developments and discussion concerning the quality assurance of research data. Focus is placed on action taken by science, e-infrastructure and publishers on quality assurance of research data. Such action is documented and classified in this report. Future fields of research are then identified based on this work