Skills not Silos! Open Data as OER #oer16 #ODasOER OER16 edinburgh 19-20 april 2016 Leo Havemann Birkbeck, University of Javiera Atenas.

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Presentation transcript:

Skills not Silos! Open Data as OER #oer16 #ODasOER OER16 edinburgh april 2016 Leo Havemann Birkbeck, University of Javiera Atenas University

Opening up in Education In education we have seen the rise of parallel open or ‘opening’ movements around: Learning and teaching: open educational resources and open delivery models (from OCW to OER, Open Textbooks, and lately, MOOCs) Research: open access (OA) to research publications (shaking up traditional publishing models and also driving emergence of open peer review models) Data: open access to government and research data (OD) Which has brought us to a brave new world….

of the ‘Open Silos’ By Leaflet (Own work) [CC BY-SA 3.0 ( via Wikimedia Commons

No Interaction!

Parallel Open Movements Open Silos Data Education Research

Education OER ROERs Open Textbooks MOOCs OCW

Research Open Science Open Data Open Access Open Peer- Review Open Trials

Data Open Gov Data Open Research Data Civil Society Transparency and corruption Big Data (not open)

Open Education OEP Open Licenses Open Textbooks OER Open Source Open Access Papers ROER Open Data Open Courses

Thinking about Open Data - through an Open Education Lens The illusion of access promoted by computers provokes a confusion between the presentation of information and the capacity to use, sort and interpret it. (Brabazon, 2001)

Thinking about Open Data - through an Open Education Lens...as with the earlier discussion concerning the “digital divide” there would, in this context, appear to be some confusion between movements to enhance citizen “access” to data and the related issues concerning enhancing citizen “use” of this data as part, for example, of interventions concerning public policies and programs. (Gurstein, 2011)

Open Data: the Open DefinitionOpen Definition Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost Re-use and Redistribution: the data must be provided under terms that permit re-use and redistribution including the intermixing with other datasets. Universal Participation: everyone must be able to use, re-use and redistribute - there should be no discrimination against fields of endeavour or against persons or groups.

Where does OD come from? International agencies and organisations Word Bank ; United Nations ; EUWord Bank United Nations EU National Governments and their agencies UKOD; GermanyOD; USAUKODGermanyODUSA Local governments Sardinia ; London; BarcelonaSardinia LondonBarcelona Non-governmental organisations ODI; MonithonODIMonithon Academic institutions and research centres

Open Data for developing ‘transversal skills’ Students construct knowledge by critically analysing information from various sources and formats, including data. Being capable of analysing and interpreting raw data can be key to the development of transversal skills, which are defined by UNESCO as “critical and innovative thinking, inter-personal skills; intra-personal skills, and global citizenship”.

Skills and social participation If one of our goals as educators is to develop transversal skills in students, towards enabling them to function as citizens and to actively participate in the discourse and debates of society, then we propose that Open Data can play a key role.

Open Education for social participation Open Education OER Open Textbooks Open Courses Open Repositories Open Science Open Data Open Access Papers Relationship with society Critical ThinkingSocial Engagement

Using Open Data as OER

Embedding OD in T&L activities Identify and describe the learning outcomes for the intended activities; Identify the portals which will source the data; Clearly identify and describe the challenges students might face; Provide training materials for the software students will need to analyse the data; Support students in communicating their findings to local or wider communities.

Open Data activities in T&L Focus: define the research problems and its relation to the environment students. Practicality: match technical applications and practices to expected solutions. Expectations: set realistic expectations for data analysis.

Direction: support in finding data portals which contain appropriate information. Training: provide training materials for the software students will need to analyse the data. Location: use global, local and scientific data which is as granular as possible. Open Data activities in T&L

Modelling: develop model solutions to guide students on the challenges and activities. Collaboration: support students to work collaboratively and at multidisciplinary level. Communication: support students in communicating their findings to local or wider communities Open Data activities in T&L

All citizens should have equal opportunities and multiple channels to access information, be consulted and participate. Every reasonable effort should be made to engage with as wide a variety of people as possible (OECD, 2009, p.17).

To learn more about OD and Open Education Open Definition: Open Data Handbook: Open Education Handbook: A Scuola di OpenCoesione: School of Data: Data Literacies Research: literacy-research-findings/ literacy-research-findings/

To learn more about OD and Open Education Open Data as OER post: 21st-centurys-raw-material-using-open-data-as-open- educational-resources/ 21st-centurys-raw-material-using-open-data-as-open- educational-resources/ OD as OER – case studies: educational-resources-case-studies-of-emerging- practice/ educational-resources-case-studies-of-emerging- practice/ Open Data as OER paper: article/view/233http:// article/view/233