Science and Metadata Community (DCMI)
De Wicri SIC
Science and Metadata Community, ou DC-SAM est le nom d'un groupe de travail du DCMI.
DC-SAM est un forum ouvert aux personnes ou aux institutions pour échanger des informations et connaissances sur les métadonnées qui décrivent les objets et données scientifiques (collecte suivant un processus méthodologique pour la recherche, l'analyse, la tracabilité, la diffusion etc). La curation des données scientifiques est un thème majeur de réflexion.
Ce groupe de travail est animé par :
- Jane Greenberg, SILS/MRC UNC ;
- et Stu Weibel, OCLC.
Actualités
|
Conférence DC 2015 Dublin Core Metadata Initiative São Paulo, du 1 au 5 septembre 2015. |
Ce groupe se réunit à l'occasion de la conférence DC 2010, le 21 octobre à 16 h avec l'ordre du jour suivant :
- Présentations
- Todd Carpenter, Managing Director, National Information Standards Organization (NISO)
- Titre : NISO/National Federation of Advanced Information Services (NFAIS) Supplemental Journal Article Materials
- Brief abstract: This presentation will first introduce NISO. Background and outcomes of NISO led work in this area will be presented. Insights and questions will be offered to stimulate discussion on how this work relates to metadata for scientific data and opportunities promoting interchange and connecting with data repositories and other initiatives. [draft abstract]
- Joan Starr, Manager, Strategic and Project Planning, California Digital Library
- Titre: DataCite and the DataCite Metadata Kernel
- Brief abstract: DataCite is an international consortium that offers an easy way to connect an article published in a scholarly journal with the underlying data. The DataCite Metadata Kernel aims to support the larger goals of DataCite by recommending a standard citation format for datasets; providing the basis for interoperability with other data management schemas; promoting dataset discovery, and laying the groundwork for future services. This presentation will introduce DataCite and give an overview of the DataCite Metadata Kernel.
- Jian Qin, Associate Professor, School of Information Studies, Université de Syracuse
- Topic: E-Science, Data, and Metadata: Linking Research to Teaching
- Brief abstract: This presentation reports the experience and issues from a linked data research project and what implications this project and our previous scientific data literacy project have on science metadata research and teaching.
- Open discussion
- What are the most pressing metadata related challenges relating to metadata for scientific research data?
- What solutions have you sought out, explored, or discovered?
- DC-SAM activities
- SAM priorities and community value
- Liaison with other communities
- SAM specific tasks or activities to-be-determined
Voir aussi
Liens externes
- site web : http://dublincore.org/groups/sam/
- liste de diffusion : http://www.jiscmail.ac.uk/lists/DC-SCIENCE.html
