Make data accessible

What This Task Involves

The training session and training materials indicate how to:

1. Get a permanent unique identifier for your dataset in a public repository
2. Specify general (creator, license, version) and domain metadata (categories, tags)
3. Upload or specify a pointer to the dataset

Training Materials

This training session will be held on February 20, 2015:

• Presentation

Suggested Readings

• "Ten Simple Rules for the Care and Feeding of Scientific Data." Alyssa Goodman, Alberto Pepe , Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Merce Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret Hedstrom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra Slavkovic. PLOS Computational Biology, Published: April 24, 2014. DOI: 10.1371/journal.pcbi.1003542
  • A brief and practical introduction for how to publish and share data

• "Achieving human and machine accessibility of cited data in scholarly publications." Joan Starr, Eleni Castro, Mercè Crosas, Michel Dumontier, Robert R. Downs, Ruth Duerr, Laurel Haak, Melissa Haendel, Ivan Herman, Simon Hodson, Joe Hourclé, John Ernest Kratz, Jennifer Lin, Lars Holm Nielsen, Amy Nurnberger, Stefan Pröll, Andreas Rauber, Simone Sacchi, Arthur P. Smith, Michael Taylor, Tim Clark. PeerJ Preprint, Version of 11 February 2015.
  • A good description of the different kinds of permanent unique identifiers

• "How to Cite Datasets and Link to Publications." Alex Ball and Monica Duke. DCC How-to Guides. Edinburgh: Digital Curation Centre. Version of 20 June 2012.
  • A good overview of the elements in a data citation and how to handle granularity and versioning

• "Data Citation Guidelines for Data Providers and Archives." ESIP Technical Report. Version of 31 December 2011. doi:10.7269/P34F1NNJ
  • Provides many examples of alternative formats for citing a dataset