%0 Journal Article %1 assante2016scientific %A Assante, Massimiliano %A Candela, Leonardo %A Castelli, Donatella %A Tani, Alice %D 2016 %J Data Science Journal %K Data Publishing, Repositories, Research Scientific infrastructures quality, %N 0 %R 10.5334/dsj-2016-006 %T Are Scientific Data Repositories Coping with Research Data Publishing? %U http://datascience.codata.org/articles/10.5334/dsj-2016-006/ %V 15 %X Research data publishing is intended as the release of research data to make it possible for practitioners to (re)use them according to “open science” dynamics. There are three main actors called to deal with research data publishing practices: researchers, publishers, and data repositories. This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data. These repositories cannot make any assumption on the application domain. They are actually called to face with the almost open ended typologies of data used in science. The current practices promoted by such repositories are analysed with respect to eight key aspects of data publishing, i.e., dataset formatting, documentation, licensing, publication costs, validation, availability, discovery and access, and citation. From this analysis it emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories. These practices and solutions can not totally meet the needs of management and use of datasets resources, especially in a context where rapid technological changes continuously open new exploitation prospects.

@article{assante2016scientific, abstract = {Research data publishing is intended as the release of research data to make it possible for practitioners to (re)use them according to “open science” dynamics. There are three main actors called to deal with research data publishing practices: researchers, publishers, and data repositories. This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data. These repositories cannot make any assumption on the application domain. They are actually called to face with the almost open ended typologies of data used in science. The current practices promoted by such repositories are analysed with respect to eight key aspects of data publishing, i.e., dataset formatting, documentation, licensing, publication costs, validation, availability, discovery and access, and citation. From this analysis it emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories. These practices and solutions can not totally meet the needs of management and use of datasets resources, especially in a context where rapid technological changes continuously open new exploitation prospects.}, added-at = {2018-12-31T11:11:57.000+0100}, author = {Assante, Massimiliano and Candela, Leonardo and Castelli, Donatella and Tani, Alice}, biburl = {https://www.bibsonomy.org/bibtex/22583f2da2fc4ed46f80b931cb4631fbf/joschirr}, copyright = {Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access ). All third-party images reproduced on this journal are shared under Educational Fair Use. For more information on Educational Fair Use , please see this useful checklist prepared by Columbia University Libraries . All copyright of third-party content posted here for research purposes belongs to its original owners. Unless otherwise stated all references to characters and comic art presented on this journal are ©, ® or ™ of their respective owners. No challenge to any owner’s rights is intended or should be inferred.}, doi = {10.5334/dsj-2016-006}, file = {Full Text PDF:/home/jochen/.mozilla/firefox/70eonxwr.default-1478346858373/zotero/storage/IV2PCQEX/Assante et al. - 2016 - Are Scientific Data Repositories Coping with Resea.pdf:application/pdf;Snapshot:/home/jochen/.mozilla/firefox/70eonxwr.default-1478346858373/zotero/storage/ZSA68ANJ/dsj-2016-006.html:text/html}, interhash = {81b15293f9da6943da6ce5c2ca922bfa}, intrahash = {2583f2da2fc4ed46f80b931cb4631fbf}, issn = {1683-1470}, journal = {Data Science Journal}, keywords = {Data Publishing, Repositories, Research Scientific infrastructures quality,}, language = {eng}, month = apr, note = 00008, number = 0, timestamp = {2018-12-31T11:13:30.000+0100}, title = {Are {Scientific} {Data} {Repositories} {Coping} with {Research} {Data} {Publishing}?}, url = {http://datascience.codata.org/articles/10.5334/dsj-2016-006/}, urldate = {2017-04-18}, volume = 15, year = 2016 }