Science and Engineering Ethics

, Volume 16, Issue 4, pp 753–762 | Cite as

Developing and Communicating Responsible Data Management Policies to Trainees and Colleagues

  • Julia Frugoli
  • Anne M. Etgen
  • Michael Kuhar


The basic components of data management including data ownership, collection, selection, recording, analysis, storage, retention, destruction, and sharing. A number of important principles underlie best practices for each of these components; these include recording details such that another can repeat the experiment, keeping the data safe, managing storage in such a way as to facilitate easy retrieval for the period of time required by regulatory agencies and establishing data sharing principles with colleagues before collaborations begin. Experience as practicing scientists and teachers has aided in developing helpful strategies and approaches for communicating these principles, policies and practices to trainees and colleagues. We recommend didactic instruction focused by discipline, combined with the use of “teachable moments” in a student’s career, as well as teaching principles versus rules, because changing methods of data collection and storage have implications for data management practices.


Data management Scientific record keeping Communication of best practices 



We would like to thank Stephanie Bird for arranging the ORI meeting, her encouragement to convert the presentations to a manuscript, and comments on the text. This paper is Technical Contribution No. 5317 of the Clemson University Experiment Station.


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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Department of Genetics and BiochemistryClemson UniversityClemsonUSA
  2. 2.Albert Einstein College of MedicineNew YorkUSA
  3. 3.Emory University School of MedicineAtlantaUSA

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