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A Research Roadmap to Advance Data Collaboratives Practice as a Novel Research Direction
Author(s) -
Iryna Susha,
Theresa A. Pardo,
Marijn Janssen,
Natalia Adler,
Stefaan Verhulst,
Todd Harbour
Publication year - 2018
Publication title -
international journal of electronic government research
Language(s) - English
Resource type - Journals
eISSN - 1548-3894
pISSN - 1548-3886
DOI - 10.4018/ijegr.2018070101
Subject(s) - data governance , government (linguistics) , data sharing , interoperability , leverage (statistics) , open data , data science , incentive , data management , data curation , public relations , knowledge management , political science , computer science , engineering ethics , data quality , business , engineering , medicine , world wide web , data mining , metric (unit) , linguistics , philosophy , alternative medicine , pathology , marketing , machine learning , economics , microeconomics
Anincreasingnumberofinitiativeshaveemergedaroundtheworldtohelpfacilitatedatasharing and collaborations to leverage different sources of data to address societal problems. They are called“datacollaboratives”.Datacollaborativesareseenasanovelwaytomatchreallifeproblems with relevant expertise and data from across the sectors. Despite its significance and growing experimentationbypractitioners, therehasbeen limitedresearch in this field. In thisarticle, the authorsreportontheoutcomesofapaneldiscussingcriticalissuesfacingdatacollaborativesand developaresearchanddevelopmentagenda.Thepanelincludedparticipantsfromthegovernment, academics,andpractitionersandwasheldinJune2017duringthe18thInternationalConferenceon DigitalGovernmentResearchatCityUniversityofNewYork(StatenIsland,NewYork,USA).The articlebeginsbydiscussingtheconceptofdatacollaboratives.Thentheauthorsformulateresearch questionsandtopicsfortheresearchroadmapbasedonthepaneldiscussions.Theresearchroadmap poses questions across nine different topics: conceptualizing data collaboratives, value of data, matchingdatatoproblems,impactanalysis,incentives,capabilities,governance,datamanagement, andinteroperability.Finally,theauthorsdiscusshowdigitalgovernmentresearchcancontributeto answeringsomeoftheidentifiedresearchquestions. KEywoRDS Data Collaborative, Data Philanthropy, Data Sharing, Digital Government, Evidence Based Policy, Public Private Partnership International Journal of Electronic Government Research Volume 14 • Issue 3 • July-September 2018

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