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Lien vers les présentations : - Aims and Introduction - Jonathan Tedds, University of Leicester/ PREPARDE - Data Centre workflows for publication - Sarah Callaghan, BADC/ PREPARDE - Geoscience Data Journal: developing a workflow for cross-linking between dataset and Data Paper - Tim Roberts, Wiley/PREPARDE - Data aggregations for facilities science - Vasily Bunakov, STFC - Linking datasets with user commentary, annotations and publications: the CHARMe project - Jon Blower, University of Reading - The OpenAIRE Scholarly Communication Infrastructure: On Interlinking Datasets, Literature, Fundings, and Research Initiatives - Paolo Manghi, OpenAIREplus - Interlinking Articles & Data in the Article of the Future - Bethan Keall, Elsevier - Data citation and persistent identifiers: the DataCite approach - Elizabeth Newbold, British Library

Lesson 01: Why Data Management Lesson 02: Data Sharing Lesson 03: Data Management Planning Lesson 04: Data Entry and Manipulation Lesson 05: Data Quality Control and Assurance Lesson 06: Data Protection and Backups Lesson 07: Metadata Lesson 08: How to Write Good Quality Metadata Lesson 09: Data Citation Lesson 10: Analysis and Workflows

"promote best practices in data citation to facilitate access to data sets and to enable attribution and reward for those who publish data"

This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets. Data publication is becoming increasingly important to the scientific community, as it will provide a mechanism for those who create data to receive academic credit for their work and will allow the conclusions arising from an analysis to be more readily verifiable, thus promoting transparency in the scientific process. Peer review of data will also provide a mechanism for ensuring the quality of datasets, and we provide suggestions on the types of activities one expects to see in the peer review of data. A simple taxonomy of data publication methodologies is presented and evaluated, and the paper concludes with a discussion of dataset granularity, transience and semantics, along with a recommended human-readable citation syntax. PDF de l'article en libre accès.

Principaux enjeux d'une infrastructure de citation des données

Open Context publishes data contributed by researchers through a process that reviews, edits, and aligns data to standards. Major aspects of publishing with Open Contexct include: - Excavation, survey and collections data published in a citable venue - Data safeguarded and preserved though archiving with the University of California's California Digital Library - Expert editorial and peer review of your project's data - Tools to track citations of your data along with your other publications - All data published free and open access for barrier-free search, discovery and analysis - Data aligned to key "Linked Open Data" standards to facilitate future analyses, data integration, visualization, and understanding Domaine : archaeological datasets and museum collections Fournit un ensemble de services à haute valeur ajoutée. Utilise les méthodes des Linked Open Data : annotation des données avec : - Geographic places reference GeoNames.org and Pleiades - Biological taxa reference the Encyclopedia of Life - Units of measurement reference Freebase identifers - Biological morphology references use UBERON

Data publishing : http://www.pensoft.net/page.php?P=23

Plusieurs contributions intéressantes sur les enjeux de la citation et de l'attribution. Des exemples de "styles" de citation à explorer et peut être à adapter au(x) contexte(s) de l'INRA. Quelques idées aussi sur le thème de l'identification des données, certes plus global que les DOIs mais intéressantes à prendre en considération dans le sujet de la mise en oeuvre des DOIs.

Une évaluation récente du Data Citation Index de Thomson

L'exemple de l'université de Griffith

Des articles et des vidéo sur la citation des données et les identifiants, en particulier les DOIs

Rapport de 47 pages, récent (avril 2013). L'objectif du document est de faire un état de l'art pour analyser les meilleures pratiques et encourager l'évaluation des données. L'hypothèse est que cet angle encouragerait le partage des données par les chercheurs. Intéressant aussi pour nous : les annexes - annexe 1 : grille d'analyse des entrepôts - annexe 2 : inventaire et analyse de quelques entrepôts - annexe 3 : liste de Data Journals

Mapping entre les éléments descriptifs utilisés par les registres d'entrepôts de données RE3data.org et Data Citation Index (DCI)

IASSIST 2013 conference at GESIS Leibniz institute for the social sciences in cologne

Proposition de grilles de métadonnées (2010) - pour des datasets - pour des collections de datasets

Force11 is a community of scholars, librarians, archivists, publishers and research funders that has arisen organically to help facilitate the change toward improved knowledge creation and sharing. Site assez riche : consulter en particulier, dans l'onglet Publications : le "Amsterdam Manifesto" et diverses présentations ppt ...