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Integration of Data and Publications - Alliance for Permanent Access

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Report on <strong>Integration</strong> <strong>of</strong> <strong>Data</strong> <strong>and</strong> <strong>Publications</strong> Grant Agreement no.: 261530<br />

1. INTEGRATION OF DATA AND PUBLICATIONS: GENERAL<br />

1.1. Introduction <strong>and</strong> summary<br />

The web, the cloud <strong>and</strong> computational capabilities in general provide an ever growing<br />

infrastructure <strong>for</strong> scholarly communication that makes it much easier <strong>for</strong> researchers to<br />

share their research data with others. At the same time, <strong>and</strong> <strong>of</strong>ten driven by the same<br />

factors, nearly all scientific disciplines have a computational stream , generating ever<br />

more research data. We seem to be at the verge <strong>of</strong> a <strong>Data</strong> Deluge as a recent EU report<br />

also concluded. 2<br />

We know from previous research, carried out <strong>for</strong> the project PARSE.Insight 3 , that<br />

around 60 % <strong>of</strong> researchers would like to use the research data <strong>of</strong> others. A similar<br />

reluctance <strong>for</strong> sharing as has been apparent in the interviews <strong>of</strong> WP3 <strong>of</strong> this project ODE<br />

that built on PARSE.Insight, where over 40 % <strong>of</strong> researchers state to have real problems<br />

in sharing their own data. This is further elaborated in Chapter 2: Researcher’s<br />

Perspective. In this sense, we may coin a new 60-40 rule: 60 % likes to get data from<br />

others but 40% have problems to give their own.<br />

Andrew Treloar, Director <strong>of</strong> the Australian National <strong>Data</strong> Service gave a talk on 28<br />

March 2011 at a JISC workshop in Birmingham on the management <strong>of</strong> research data 4<br />

<strong>and</strong> distinguished several basic problems <strong>for</strong> research data. In the h<strong>and</strong>ling <strong>of</strong> research<br />

data, he described in a cascading way, how research data are <strong>of</strong>ten:<br />

1. Unavailable, <strong>and</strong> if at all available:<br />

2. Unfindable, <strong>and</strong> if available AND findable:<br />

3. Uninterpretable.<br />

And even if all these 3 obstacles have been overcome, the research data found may still<br />

prove to be:<br />

4. Not re-usable.<br />

In this report, created <strong>and</strong> delivered in the context <strong>of</strong> project ODE (Opportunities <strong>for</strong><br />

<strong>Data</strong> Exchange) we investigate how integration <strong>of</strong> data <strong>and</strong> publications can help solve<br />

these 4 obstacles. The questions we try to answer in this report are: How do research<br />

data enter the stage <strong>of</strong> scholarly communication <strong>and</strong> what are the present practices <strong>and</strong><br />

policies? Where can we find important improvements <strong>for</strong> the accessibility <strong>and</strong> reusability<br />

<strong>of</strong> research data? What roles <strong>and</strong> responsibilities may we expect <strong>for</strong> different<br />

stakeholders in the scholarly in<strong>for</strong>mation chain?<br />

2 John Wood, EU, 2010, Riding the Wave: http://cordis.europa.eu/fp7/ict/e-infrastructure/docs/hlgsdi-report.pdf<br />

3 Survey Report PARSE.Insight : http://www.parse-insight.eu/downloads/PARSE-Insight_D3-<br />

4_SurveyReport_final_hq.pdf<br />

4 Andrew Treloar at JSC workshops see<br />

http://www.jisc.ac.uk/whatwedo/programmes/mrd/rdmevents/mrdinternationalworkshop.aspx<br />

Opportunities <strong>for</strong> <strong>Data</strong> Exchange (ODE) –www.ode-project.eu 12

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