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Panayiota Polydoratou Alexander Technological Educational Institute of Thessaloniki

An introduction to data journals, linking data and visualizations in publications in an integrated way. Panayiota Polydoratou Alexander Technological Educational Institute of Thessaloniki Nicolaus Copernicus University, Information Visualisation in Humanities, 23-24 March 2017, Poland.

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Panayiota Polydoratou Alexander Technological Educational Institute of Thessaloniki

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  1. An introduction to data journals, linking data and visualizations in publications in an integrated way PanayiotaPolydoratou Alexander Technological Educational Institute of Thessaloniki Nicolaus Copernicus University, Information Visualisation in Humanities, 23-24 March 2017, Poland

  2. Outline of the presentation • Definitions (open access, open access journals, data journals, data papers) • Data types and formats • Examples of data journals and data papers • Peer review policies • Access and use policies • Curation policies • Summary and future work

  3. Definitions • Open access: a concept that allows the results of publicly-funded research to be made available online without charge to the reader (SOAP– http://project-soap.eu) • Open access journals: journals that allow the reader to access, read and download their content without having to pay a fee

  4. Definitions • Data journal: “Data journals are publications whose primary purpose is to expose datasets by providing the infrastructure and scholarly reward opportunities that will encourage researchers, funders and data centre managers to share research data outputs”. (Australian National Data Service - ANDS) • Data paper: “A publication that is designed to make other researchers aware of data that is of potential use to them. As such it describes the methods used to create the dataset, its structure, its reuse potential, and a link to its location in a repository”. (Journal of Open Archaeology Data - JOAD)

  5. Data types and formats • GIS data and maps .xls, .txt, .csv, .shp…. • image and video data .csvt, .pdf, .doc, . … • site plans and notebooks .rtf, .tex, docx… • quantitative and qualitative survey data .gif, .jpeg… • ethnographic data (can be anonymised) • artefact illustrations and measurements • grey literature • remote sensing data • bioarchaeological data • Experimental campaigns • Numerical modelling projects • Operational systems • Instruments and observing facilities • DNA and protein sequences • Molecular structure • Molecular interactions • Taxonomy and species diversity

  6. Examples and typology of data journals • Journal of Open Archaeology Data • Launched: 2011 • Publisher: Ubiquity Press • Publisher status: UCL spin off company • Open Access: Yes • Publication fee: Yes, from 0 – $40 ($100) • Subject domain: Humanities • Publication restrictions: Data that have a more restrictive license (e.g. funder requirement) are considered on a case by case basis.

  7. Examples and typology of data journals • Nature Scientific Data – NPG • Launched: Spring 2014 • Publisher: NPG • Publisher status: Commercial publisher • Open Access: Yes • Publication fee: $630-700 + VAT ($1350) • Subject domain: Life, biomedical and environmental sciences

  8. Examples and typology of data journals • Geoscience Data Journal • Launched: 2012 • Publisher: Wiley on behalf of the Royal Meteorological Society • Publisher status: Collaboration of commercial publisher + Society • Open Access: Yes • Publication fee: $1500 • Subject domain: Geosciences

  9. Data policies – examples of repositories • Archaeology Data Service • Fighshare • Open Context • DANS • Mappa • UCL Discovery • British Atmospheric Data Centre • DataCite • British Oceanographic Data Centre • PANGEA • DNA DataBank of Japan (DDBJ) • Data Dryad • EMBL Nucleotide Sequence Database (ENA) • GenBankUniprot

  10. Data policies – peer review • The paper correctly describes the data (enables user to understand the data/ potential to recreate the study) • The dataset must be correctly described • The dataset must be openly accessible • Provide reuse and useful suggestions • Data must be deposited in a trusted repository • Alignment with existing community standards

  11. Data policies – access and use • Openly available for everyone to access, download and use – attribution • Under a CC licence or an • Creative Commons 0 (CC0) • Creative Commons Attribution (CC-BY) • ODC license • ODC Public Domain Dedication and License (PDDL) • ODC Attribution (ODC-BY)

  12. Data policies – curation practices • Must be deposited to a sustainable repository (a long term preservation policy in place and professional curation is provided to the data) • Repository must be endorsed by the scientific community • Issue of persistent identifiers (e.g. DOI) • Ensure there is record of associated metadata • Allow the reviewers to access the data in an anonymous way (confidential review)

  13. Summary • Knowing your data is important to communicate results and the quality of data visualisation is strongly connected to the data and the analysis underlying it. • Acknowledging the relationships in datasets is important to understand the data. • Data papers are complimentary to the final paper and they do not replace the published outcomes nor are they considered duplicate publication • Data papers are citable and allow us to trace re use of data and perhaps explore new metrics to measure impact

  14. Some thoughts and plans for future research • Infografics tell stories about datasets • Data versioning • Data access, citation and use (tracking re use) • How can we ensure that we track reuse of datasets? • What does reuse tells us about impact? • Are existing metadata practices sufficient for describing and enabling access to the files? • Data files, obsolete software and curation • Are existing preservation planning practices applicable to datasets? • What curation practices apply to visualisations and who is responsible for this? • What is the role of institutions and library professionals?

  15. Some thoughts and plans for future research • Continue to collect data about current data journals and some of their attributes • e.g. properties such as subject discipline, article processing fee, peer review practices, deposition and curation requirements, etc. • Collaborate with expert groups in data citation and data publishing (RDA groups - https://www.rd-alliance.org/). • For example, evaluate how far the RdA data citation solution can be used directly as parameter in analysis and visualization processes, generating dynamic visualizations in overlay journal papers. • Open to your feedback and collaboration

  16. Thank you! Contact details: Panayiota Polydoratou polydoratou@libd.teithe.gr http://polydor.libd.teithe.gr

  17. References • ANDS Guides – Awareness level. Data journals. Available at: http://www.ands.org.au/guides/data-journals.html • Dataset Papers in Science. Available at: http://www.hindawi.com/journals/dpis/ • Guy, Marieke and Monica Duke (2013). The rise of the data journal. Presentation given at IASSIST, Cologne, Germany, Friday 31st May 2013. Available at: http://www.slideshare.net/MariekeGuy/the-rise-of-the-data-journal • Geoscience Data Journal. Available at: http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%292049-6060 • Journal of Open Archaeological Data. Available at: http://openarchaeologydata.metajnl.com/ • Nature Scientific Data. Available at: http://www.nature.com/sdata • SOAP project. Availabe at: http://project-soap.eu

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