002836152 001__ 2836152
002836152 003__ SzGeCERN
002836152 005__ 20221028150208.0
002836152 0247_ $$2DOI$$a10.1145/3290607.3312905
002836152 0248_ $$aoai:cds.cern.ch:2836152$$pcerncds:CERN
002836152 035__ $$9https://inspirehep.net/api/oai2d$$aoai:inspirehep.net:2023111$$d2022-10-07T12:51:19Z$$h2022-10-08T04:00:04Z$$mmarcxml
002836152 035__ $$9Inspire$$a2023111
002836152 041__ $$aeng
002836152 100__ $$aFeger, Sebastian S$$uCERN
002836152 245__ $$9submitter$$aThe Role of HCI in Reproducible Science
002836152 260__ $$c2019
002836152 300__ $$a6 p
002836152 520__ $$9submitter$$aThe reproducibility crisis refers to the inability to reproduce scientific experiments and is one of
science’s great challenges. Alarming reports and growing public attention are leading to the development of services and tools that aim to support key reproducible practices. In the face of this rapid
evolution, we envision the unique opportunity for Human-Computer Interaction to impact scientific
practice through the systematic study of requirements and moderating effects of technology on
research reproducibility. In this paper, we report on the current state of technological and human
factors in reproducible science and present challenges and opportunities for both HCI researchers
and practitioners to understand, support and motivate core practices.
002836152 542__ $$dThe author(s)$$g2019
002836152 65017 $$2SzGeCERN$$aComputing and Computers
002836152 65017 $$2SzGeCERN$$aInformation Transfer and Management
002836152 690C_ $$aARTICLE
002836152 690C_ $$aCERN
002836152 700__ $$aDallmeier-Tiessen, Sünje$$uCERN
002836152 700__ $$aWoźniak, Paweł W$$uUtrecht U. (main)
002836152 700__ $$aSchmidt, Albrecht$$uLMU Munich (main)
002836152 773__ $$cLBW0246$$wC19-05-04$$y2019
002836152 960__ $$a13
002836152 962__ $$b2728562$$kLBW0246$$nglasgow20190504
002836152 980__ $$aARTICLE
002836152 980__ $$aConferencePaper