Suchergebnisse

A three‐person field team devoted four days to gathering data in
Andover, Kansas, USA, after a tornado devastated the Golden Spur Mobile
Home Park on 26 April 1991. They sought to assess the extent to which
the media′s reporting of the local emergency management team′s response
to the disaster influenced the team′s subsequent decisions. The
researchers functioned as participant observers in the emergency
operating centre (EOC), informally interviewed principal EOC members and
media personnel, and obtained copies of media news stories (television
and newspaper) which reported on the organizational response to the
disaster. Assesses the observation and interview data as well as the
content analysis of the news stories and suggests that the EOC team
devoted a considerable portion of their time to responding to the
negative press they received centring around two issues: pre‐impact
warning and post‐impact debris clearance. Some of the media′s news
stories sought to engage in blame assignation. The EOC members devoted
time to developing strategies to control the media damage and changed
some decisions they had made in response to the media′s criticism. The
relevant disaster research literature is utilized to explain the
response of the EOC personnel and the media. Reliance on normal time
roles explains the EOC response to blame assignation.

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types.