TY  - JOUR
  - Coakley, Jennifer; Hogan, Nicola; McGuire, Linda; Griffin, Brendan; Casey, Colman; Campbell, Cliff; Crean, Abina
  - 2010
  - May
  - Pharmaceutical Engineering
  - A Methodology for Knowledge Management in Biopharmaceutical Production
  - Published
  - ()
  - 30
  - 3
  - 30
  - 40
  - Often in biopharmaceutical manufacturing, there is little distinction between data and the information and knowledge that can be drawn from it.  Furthermore, this data, information and knowledge is often widely scattered over a number of sources making it to difficult access and/or intrepret. This can result in information being underutilised or replicated.  The objective of this research was to determine a methodology for, and to explicitly model a number of typical biopharmaceutical processes.  A centralised, reusable database of non-proprietary biopharmaceutical plant technical standards and multidisciplinary knowledge was thereby created.  Greater process understanding was enabled by modelling the process steps via risk based determination of the relevant critical attributes, parameters and controls.
  - US
  - 0273-8139
  - May/June 2010
  - http://www.ispe.org/cs/publications_section/pharmaceutical_engineering
DA  - 2010/05
ER  - 

@article{V18056416,
   = {Coakley, Jennifer and  Hogan, Nicola and  McGuire, Linda and  Griffin, Brendan and  Casey, Colman and  Campbell, Cliff and  Crean, Abina},
   = {2010},
   = {May},
   = {Pharmaceutical Engineering},
   = {A Methodology for Knowledge Management in Biopharmaceutical Production},
   = {Published},
   = {()},
   = {30},
   = {3},
  pages = {30--40},
   = {{Often in biopharmaceutical manufacturing, there is little distinction between data and the information and knowledge that can be drawn from it.  Furthermore, this data, information and knowledge is often widely scattered over a number of sources making it to difficult access and/or intrepret. This can result in information being underutilised or replicated.  The objective of this research was to determine a methodology for, and to explicitly model a number of typical biopharmaceutical processes.  A centralised, reusable database of non-proprietary biopharmaceutical plant technical standards and multidisciplinary knowledge was thereby created.  Greater process understanding was enabled by modelling the process steps via risk based determination of the relevant critical attributes, parameters and controls.}},
   = {US},
  issn = {0273-8139},
   = {May/June 2010},
   = {http://www.ispe.org/cs/publications_section/pharmaceutical_engineering},
  source = {IRIS}
}