title: Organizing research data.
abstract: Research relies on ever larger amounts of data from experiments, automated production equipment, questionnaries, times series such as weather records, and so on. A major task in science is to combine, process and analyse such data to obtain evidence of patterns and correlations.Most research data are on digital form, which in principle ensures easy processing and analysis, easy long-term preservation, and easy reuse in future research, perhaps in entirely unanticipated ways. However, in practice, obstacles such as incompatible or undocumented data formats, poor data quality and lack of familiarity with current technology prevent researchers from making full use of available data.This paper argues that relational databases are excellent tools for veterinary research and animal production; provides a small example to introduce basic database concepts; and points out some concerns that must be addressed when organizing data for research purposes.
authors: IT University of Copenhagen, Rued Langgaards Vej 7, DK-2300 Copenhagen S, Denmark. sestoft@itu.dk
authors: Peter
authors: P
authors: Sestoft
mesh_terms: D000822:Animal Husbandry / Q000379:methods* / Q000706:statistics & numerical data; D000818:Animals; D002417:Cattle; D019992:Databases as Topic / Q000145:classification / Q000706:statistics & numerical data; D007774:Lactation; D008892:Milk / Q000378:metabolism / Q000706:statistics & numerical data; D011996:Records / Q000662:veterinary*; D014730:Veterinary Medicine / Q000379:methods* / Q000706:statistics & numerical data