Neururer 2017 Abstract Health Informatics 2017

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Developing a standardized minimum dataset for mitochondrial research data – a project outline.

Link:

Neururer SB, Gnaiger E, Laner V, Goebel G (2017)

Event: Health Informatics 2017

Mitochondrial research strongly relies on quality control for monitoring and comparing mitochondrial data between individuals and populations. This abstract presents the methodological outline of a novel project aimed at developing a concept for a minimum data set in order to describe and exchange mitochondrial data between research groups.

The development is based on the MIABIS (Minimum Information About BIobank data Sharing) [1] standard which was developed for sharing meta data referring to biobanks and biomaterial collections. Now we intend to evaluate, which basic data is needed to describe mitochondrial meta information and if MIABIS can be applied for this purpose.

The project consists of five steps and modifies and extends the 4-step approach for formalizing free-text information published by Neururer et al. [2] to fit our research goal: In Step 1 an analysis is carried out for relevant mitochondrial free-text information (e.g. Bioblast [3], MitoPedia [4]). Therefore, a so-called definition analysis approach [2] is used. Relevant information is marked and definitions are extracted. These definitions serve as input for Step 2, which consist of a typological analysis [2]. To identify the relevant data fields of the minimal mitochondrial data set, the definitions are coded and iteratively abstracted by using qualitative content analysis methods. These data fields are mapped to the concepts offered by MIABIS in Step 3. This step shows, to which extent the MIABIS standard can be extended for this project. The initial concept for a novel mitochondrial data model is developed in Step 4. In order to validate the model, an expert-based evaluation is the main objective of Step 5. This may trigger an iterative process, which will lead to a refinement and re-evaluation of the mitochondrial data model.

The minimal mitochondrial data set will serve as a basis for harmonizing mitochondrial information and will increase interoperability of mitochondrial research data. With the development of such a minimal data set, we contribute to a structured representation of mitochondrial data which leads to enhanced comparability and facilitates data exchange. The strongly structured analysis approach will allow generating reproducible results. Nevertheless it remains to be shown to which extent the MIABIS standard can be applied for creating a mitochondrial data model.

The project combines different approaches from interdisciplinary fields of research (e.g. computer science, social sciences) and contributes to the current state of the art of mitochondrial knowledge management to enhance mitochondrial research networking.


Bioblast editor: Kandolf G


Labels: MiParea: Instruments;methods 







References

  1. Norlin L, Fransson MN, Eriksson M, Merino-Martinez R, Anderberg M, Kurtovic S, Litton JE (2012) A minimum data set for sharing biobank samples, information, and data: MIABIS. Biopreserv Biobank 10:343–8.
  2. Neururer SB, Lasierra N, Peiffer KP, Fensel D (2016) Formalizing the Austrian procedure catalogue: A 4-step

methodological analysis approach. J Biomed Inform 60:1–13.

  1. [[1]]
  2. [[2]]

Affiliations

Neururer(1), Gnaiger(2,3), Laner(3), Goebel(1)
  1. Dept Medical Statistics, Informatics Health Economics, Medical Univ Innsbruck
  2. Dept Visceral, Transplant Thoracic Surgery, D. Swarovski Research Lab, Medical Univ Innsbruck
  3. Oroboros Instruments, Innsbruck
Innsbruck, Austria