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A state-of-the-art biorepository: Challenges and opportunities 
Absolomon Kihara and Steve Kemp 
Presented at the 3rd Medi...
Making a case for biobanking and biopreservation 
Maximise the return on expensive sampling trips – use the same sample t...
Make a request to store samples 
Agree and sign the MTA 
Samples are received and stored, the associated metadata is uploa...
Make a request to store samples 
Agree and sign the MTA 
Samples are received and stored, 
the associated metadata is 
upl...
opportunities 
a robust infrastructure
The infrastructure
Data management systems 
A robust laboratory information management system for managing the samples and data, http://aziz...
access to cutting edge data collection tools…
Ng’ombe Planner a farmer centric data collection system Recording of: 
Production data 
Reproduction events 
Sickness 
...
Design the questionnaire 
as an 
Excel Spreadsheet Upload it to the system The system processes the Excel questionnaire 
C...
…how it works… 
an open platform for research in the region
The team 
Steve Kemp – Animal Biosciences team leader 
George Michuki 
Cecilia Rumberia 
Jason Rogena 
Moses Ogugo 
...
The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given ...
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A state-of-the-art biorepository: Challenges and opportunities

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Presentation by Absolomon Kihara and Steve Kemp at the third Medical and Veterinary Virus Research Symposium (MVVR-3), Nairobi, Kenya, 17 October 2014.

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A state-of-the-art biorepository: Challenges and opportunities

  1. 1. A state-of-the-art biorepository: Challenges and opportunities Absolomon Kihara and Steve Kemp Presented at the 3rd Medical and Veterinary Virus Research Symposium (MVVR-3) Nairobi, Kenya 17 October 2014
  2. 2. Making a case for biobanking and biopreservation Maximise the return on expensive sampling trips – use the same sample to ask multiple questions now and in the future. Maximise the understanding of the biology – different pieces of information about identical samples. Maximise the value for your study from your sample - the requirements for biobanking force improvements on your sampling methods Build a collection of well characterized samples to foster collaboration and good science
  3. 3. Make a request to store samples Agree and sign the MTA Samples are received and stored, the associated metadata is uploaded to a publicly accessible website Sign a new MTA and inform the original owner of this request Supply the material & associated metadata Azizi Biorepository http://azizi.ilri.org/ Open access workflow A request to get samples Evaluated and approved or rejected based on the original MTA Researcher ploughs back new results and findings which are also made open. Open access workflow
  4. 4. Make a request to store samples Agree and sign the MTA Samples are received and stored, the associated metadata is uploaded to a publicly accessible website Sign a new MTA and inform the original owner of this request Supply the material & associated metadata Azizi Biorepository http://azizi.ilri.org/ Open access workflow A request to get samples Evaluated and approved or rejected based on the original MTA Researcher ploughs back new results and findings which are also made open. Open access workflow
  5. 5. opportunities a robust infrastructure
  6. 6. The infrastructure
  7. 7. Data management systems A robust laboratory information management system for managing the samples and data, http://azizi.ilri.org/labcollector An online portal with access to open source samples and their metadata, http://azizi.ilri.org An online process for managing sample requests and approval, http://azizi.ilri.org/repository
  8. 8. access to cutting edge data collection tools…
  9. 9. Ng’ombe Planner a farmer centric data collection system Recording of: Production data Reproduction events Sickness Events Sickness Farmer Feedback System: Animal husbandry tips Farm management tips Reminders Notifications Retrieval of recorded data Available on all phones: Low end phones via USSD Mid tier phones using Java High end phones - Android
  10. 10. Design the questionnaire as an Excel Spreadsheet Upload it to the system The system processes the Excel questionnaire Conduct the Survey Upload the survey Download the results from the system Data Cleaning & Analysis Azizi Biorepository http://azizi.ilri.org/ Open Data Kit Workflow Open Data Kit a versatile suite of data collection tools
  11. 11. …how it works… an open platform for research in the region
  12. 12. The team Steve Kemp – Animal Biosciences team leader George Michuki Cecilia Rumberia Jason Rogena Moses Ogugo Alan Orth Acknowledgements
  13. 13. The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI. better lives through livestock ilri.org

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