10.6084/m9.figshare.3409054.v1
Sebastian Karcher
Sebastian
Karcher
Annotation for Transparent Inference (ATI): Selecting a platform for qualitative research based on individual sources
figshare
2016
#IASSIST16
Qualitative data
annotations
Zotero
Data Structures
Data Format
2016-06-01 19:26:05
Dataset
https://figshare.com/articles/dataset/Annotation_for_Transparent_Inference_ATI_Selecting_a_platform_for_qualitative_research_based_on_individual_sources/3409054
Social scientists working in rule-bound and evidence-based traditions
need to show how they know what they know. The less visible the process
that produced a conclusion, the less one can see of the conclusion. A
sufficiently diminished view of that process undermines the claim. <br>
<br>
What an author needs to do to fulfill this transparency obligation
differs depending on the nature of the work, the data that were used,
and the analyses that were undertaken. For a scholar arriving at a
conclusion using a statistical software package to analyze a
quantitative dataset, making the claim transparent would include
providing the dataset and software commands.<br>
<br>
Research transparency is a much newer proposition for qualitative social
science, especially where “granular” data are generated from individual
sources, and the data are analyzed individually or in small groups.
Because the data are not used holistically as a dataset, however, new
ways have to be developed to associate the claims with the granular data
and their analysis.<br>
<br>
The Qualitative Data Repository has been working on annotation for
transparent inference (ATI) for some time, and has made considerable
progress, particularly in specifying what information needs to be
surfaced for readers to be able to understand and evaluate published
claims. With these requirements in mind, this paper will develop a list
of functional specifications and a set of criteria for choosing an
annotation standard to use as the basis for ATI.