Data Management Planning Data Sharing. What is data sharing? “… the practice of making data used for scholarly research available to others.” [Wikipedia]

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Presentation transcript:

Data Management Planning Data Sharing

What is data sharing? “… the practice of making data used for scholarly research available to others.” [Wikipedia] Who’s involved? the data sharer the data repository the secondary data user support staff research participants commercial partners

Reasons to share data BENEFITS  Avoid duplication  Scientific integrity  More collaboration  Better research  Increased citation 9-30% increase shown in study (Piwowar H. and Vision T.J 2013, ) DRIVERS  Public expectations  Government agenda  RCUK Data Policy DataPolicy.aspx  UKRIO Code of Practice for Research of-practice-for-research/

Exercise: barriers to data sharing  List one or two of the reasons that researchers might feel restrict their ability to share their data.  Are there any actions that could be taken to reduce or overcome these restrictions?  You have 10 minutes Constraints on data sharingPossible solutions / approaches

Managing restrictions on sharing Ethics Balance data protection with data sharing Informed consent – cover current and future use Confidentiality – is anonymisation appropriate? Access control – who, what, when? IPR Clarify copyright before research starts Consider licensing options e.g. Creative Commons

Select formats for data sharing It’s better to use formats that are: Unencrypted Uncompressed Non-proprietary/patent-encumbered Open, documented standard Standard representation (ASCII, Unicode) TypeRecommendedAvoid for data sharing Tabular dataCSV, TSV, SPSS portableExcel TextPlain text, HTML, RTF PDF/A only if layout matters Word MediaContainer: MP4, Ogg Codec: Theora, Dirac, FLAC Quicktime H264 ImagesTIFF, JPEG2000, PNGGIF, JPG Structured dataXML, RDFRDBMS Further examples: Research360

How to share research data  Use appropriate repositories and data catalogues    Jisc/DCC research data registry (coming soon!)  License the data so it is clear how it can be reused   Make sure it’s clear how to cite the data   Consider publishing a data paper based on your DMP