10.5281/zenodo.3245325
https://zenodo.org/records/3245325
oai:zenodo.org:3245325
Pandit, Harshvardhan J.
Harshvardhan J.
Pandit
0000-0002-5068-3714
ADAPT Centre, Trinity College Dubln
Hamed, Roghaiyeh Gachpaz
Roghaiyeh Gachpaz
Hamed
ADAPT Centre, Trinity College Dubln
Lawless, Séamus
Séamus
Lawless
0000-0001-6302-258X
ADAPT Centre, Trinity College Dubln
Lewis, Dave
Dave
Lewis
0000-0002-3503-4644
ADAPT Centre, Trinity College Dubln
The Use of Open Data to Improve the Repeatability of Adaptivity and Personalisation Experiment
Zenodo
2019
2019-06-12
10.5281/zenodo.3244365
preprint
Creative Commons Attribution 4.0 International
Reproducibility of results is a key element for the verification of scientific experiments and an important indicator of the quality of a published experiment. It is vital therefore to precisely and transparently share both the method and the data associated with an experiment. Data associated with an experiment is often linked within peer-reviewed sci- entific publications, and is difficult to assess in a consistent manner. In this paper we explore how emerging linked data standards can be applied to the description and data of pub- lished adaptivity and personalisation experiments in a man- ner that can be linked from publications and easily located, accessed and reused to repeat an experiment. The approach also provides possibilities for published experiments to be extended or modified to provide a firmer grounding for pub- lishing new results and conclusions.
Science Foundation Ireland
10.13039/501100001602
13/RC/2106
ADAPT: Centre for Digital Content Platform Research