April 19-20, 2016
Gran Hotel Rey
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This year's Paperless Lab Academy theme will focus on pragmatic strategies to effectively materialize laboratory knowledge in order to FIND the SPEED to INNOVATE in R&D and QA/QC laboratories across the pharmaceutical, biotechnology, consumer goods and chemical industries.
IDBS Workshop: The Human Factor in Change Management
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Opportunity / Problem statement
Human change may be the most common obstacle in your ´going paperless project´, but by managing it effectively you can minimize negative impacts.
Driving change in an R&D lab can be very tricky.
We will go through the ´Whys´ and gathering the best possible reactions/ solutions in a way that can be used to align everyone and help researchers through an unsettling situation for a successful implementation.
This will be a hands on workshop with examples of what to expect from the workforce in a changing environment, how to react and what tends not to work. People will not need any experience in ‘project management’ or ‘change management’ and it will be applicable to Scientists, PMs and Business leaders.
Attendees will come away with an introduction into people management and how it can be applied to a changing lab informatics situation in the real world.
Presentation on Tuesday 19th of April at 15.30: From 3 letter acronyms, to capabilities, to business value
By IDBS VP of Strategy Solutions, Paul D Gouldson
When looking at the informatics play in research, development to manufacturing environments there are a myriad of choices and three letter and four letter acronyms (T/FLAs) that we have to cope with – LIMS, ELNS, SDMS, LES, MES, RES, RIMS, DIMS … the list is endless (TLIE) – so what does one need – well, the decision has to be based on requirements and then capabilities required to deliver those requirements.
Capabilities required for each areas research, development and manufacturing are quite different and they can be stratified into categories but at the foundation must be data management – being able to capture and manage all the different types of data associated with studies, samples, experiments etc. The trick comes in exposing this to all the different users and workflows in a succinct and simple manner – most users now demand “an enter once use everywhere” approach.
We are seeing many different use case and deployments of our technologies that are pushing the boundaries of mobility, speed and compliance and I will share these as we explore what is changing and what are still barriers to the scientists and engineers workflows.