UrbaChina Project has launched this month UrbaChina photo collection; the images of the photo collection UrbaChina are stored on MediHAL, the French open archives for digital photographs and scientific images.1.
MédiHAL allows researchers to deposit scientific image-type documents
- scanned images
- digitalised photographs
- digital photographs
It is neither an institutional nor a thematic photo library ; but rather a data warehouse, open to all scientific disciplines.
Researchers may deposit their photos from their research field, and therefore contribute to an international movement for open access to scientific data.
The UrbaChina photo collection
The collection is organised around the cities of
- Shanghai
- Chongqing
- Kunming
- Huangshan
MediHAL gathers pictures taken by UrbaChina’s participants as well as pictures of others in the same fields. The pictures published in the posts by UrbaChina are deposited to MédiHAL.
The author chooses the licence : all rights reserved or a Creative commons licence. When you click on a picture, you will find the picture’s metadata and see the licence chosen by the author which will enable you to know what you are allowed to do with the picture.
How to deposit ?
- Photos are deposited by the researcher.
- The author may choose to have them accessible immediately after they are deposited or after a moving wall chosen by himself.
- The pictures deposited in MédiHAL can be geo-referenced. The images containing GPS metadata will be placed automatically on the map.
- The iconographic documents are stored in a secure data warehouse, with back up of the pictures and of their metadata.
- A permanent preservation of the photos is guaranteed as well as their citability. More information
Browse the collection by authors
Médihal documents and video tutorials can be found on this page
- MediHAL was launched in 2010 by the Centre pour la communication scientifique et directe (CCSD) (centre for direct scientific communication) and the Centre national pour la numérisation des sources visuelles (CNRS national centre for the digitalisation of visual material) with the support of the Très grand équipement ADONIS (TGE), a very large research infrastructure led by the CNRS [↩]
