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International Journal on Digital Libraries

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01-06-2017

On research data publishing

Authors: Leonardo Candela, Donatella Castelli, Paolo Manghi, Sarah Callaghan

Published in: International Journal on Digital Libraries | Issue 2/2017

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Data publishing is a practice where data are made public so that they can be reused by others, in accordance with associated policies, while guaranteeing that data provenance and attribution are tracked. There is not yet a general agreement on the importance of, and on the solutions for, data publishing [8‐10]. While in some communities it has already solidified into codified policies, procedures and workflows, in others its motivations and realization shapes are still controversial [3]. …

next article Key components of data publishing: using current best practices to develop a reference model for data publishing

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Assante, M., Candela, L., Castelli, D., Tani, A.: Are scientific data repositories coping with research data publishing? Data Sci. J. 15(6), 1–24 (2016). doi:10.5334/dsj-2016-006

Austin, C.C., Bloom, T., Dallmeier-Tiessen, S., Khodiyar, V.K., Murphy, F., Nurnberger, A., Raymond, L., Stockhause, M., Tedds, J., Vardigan, M., Whyte, A.: Key components of data publishing: using current best practices to develop a reference model for data publishing. Int. J. Digit. Libr. (2016). doi:10.1007/s00799-016-0178-2

Borgman, C.L.: Big Data, Little Data, No Data. Scholarship in the Networked World. MIT Press, Cambridge (2015)

Candela, L., Castelli, D., Manghi, P., Tani, A.: Data journals: a survey. J. Assoc. Inf. Sci. Technol. 66(9), 1747–1762 (2015). doi:10.1002/asi.23358 CrossRef

Edmunds, S.C., Christopher I Hunter, P.L., Xiao, S.Z., Davidson, R.L., Nogoy, N., Goodman, L.: Experiences in integrated data and research object publishing using gigadb. Int. J. Digit. Libr. (2016). doi:10.1007/s00799-016-0174-6

Harrison, K.A., Wright, D.G., Trembath, P.: Implementation of a workflow for publishing citeable environmental data: successes, challenges and opportunities from a data centre perspective. Int. J. Digit. Libr. (2016). doi:10.1007/s00799-016-0175-5

Kitchin, J.R., Van Gulick, A.E., Zilinski, L.D.: Automating data sharing through authoring tools. Int. J. Digit. Libr. (2016). doi:10.1007/s00799-016-0173-7

Kratz, J., Strasser, C.: Data publication consensus and controversies. F1000Research (2014). doi:10.12688/f1000research.3979.3. [v3; ref status: indexed, http://f1000r.es/4ja]

Lawrence, B., Jones, C., Matthews, B., Pepler, S., Callaghan, S.: Citation and peer review of data: moving towards formal data publication. Int. J. Digit. Curation 6(2), 4–37 (2011). doi:10.2218/ijdc.v6i2.205 CrossRef

10.

Parsons, M., Fox, P.: Is data publication the right metaphor? Data Sci. J. 12, WDS31–WDS46 (2013)

11.

Silvello, G., Bordea, G., Ferro, N., Buitelaar, P., Bogers, T.: Semantic representation and enrichment of information retrieval experimental data. Int. J. Digit. Libr. (2016). doi:10.1007/s00799-016-0172-8

12.

Van den Eynden, V., Corti, L.: Advancing research data publishing practices for the social sciences: from archive activity to empowering researchers. Int. J. Digit. Libr. (2016). doi:10.1007/s00799-016-0177-3

13.

Wright, D.G., Trembath, P., Harrison, K.A.: Meeting the challenge of environmental data publication: an operational infrastructure and workflow for publishing data. Int. J. Digit. Libr. (2016). doi:10.1007/s00799-016-0176-4

Title: On research data publishing
Authors: Leonardo Candela
Donatella Castelli
Paolo Manghi
Sarah Callaghan
Publication date: 01-06-2017
Publisher: Springer Berlin Heidelberg
Published in: International Journal on Digital Libraries / Issue 2/2017
Print ISSN: 1432-5012
Electronic ISSN: 1432-1300
DOI: https://doi.org/10.1007/s00799-017-0213-y

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Other articles of this Issue 2/2017

Experiences in integrated data and research object publishing using GigaDB

Meeting the challenge of environmental data publication: an operational infrastructure and workflow for publishing data

Implementation of a workflow for publishing citeable environmental data: successes, challenges and opportunities from a data centre perspective

Advancing research data publishing practices for the social sciences: from archive activity to empowering researchers

Key components of data publishing: using current best practices to develop a reference model for data publishing

Semantic representation and enrichment of information retrieval experimental data

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