RDA/WDS Publishing Data Workflows WG Recommendations
 RDA/WDS Publishing Data Workflows WG |
|
Group Chair: Sünje Dallmeier-Tiessen (CERN), Fiona Murphy (Wiley), Varsha Khodiyar (Scientific Data), Amy Nurnberger (Columbia University), Theodora Bloom (BMJ) |
|
Recommendation Title: Workflows for Research Data Publishing: Models and Key Components |
| Authors: Sünje Dallmeier-Tiessen; Varsha Khodiyar; Fiona Murphy; Amy Nurnberger; Lisa Raymond; Angus Whyte; Theodora Bloom; Claire C Austin; Jonathan Tedds; Martina Stockhause; Mary Vardigan |
|
Impact: Assists research communities in understanding options for data publishing workflows and increases awareness of emerging standards and best practices. Partnership with the Data Seal of Approval (DSA) and the ICSU World Data System (ICSUWDS) |
| Recommendation package DOI: https://doi.org/10.15497/RDA00004 |
| Citation: Sünje Dallmeier-Tiessen; Varsha Khodiyar; Fiona Murphy; Amy Nurnberger; Lisa Raymond; Angus Whyte; Theodora Bloom; Claire C Austin; Jonathan Tedds; Martina Stockhause; Mary Vardigan (2016) RDA/WDS Publishing Data Workflows WG Recommendations. DOI: 10.15497/RDA00004 |
Workflows that enable persistence, quality control and access are all crucial to enhance the possibilities for greater discoverability as well as efficient and reliable reuse of research data. Such workflows for data publishing are at the core of this analysis and working group.
Final paper: 
Dataset: 
Endorsed. RDA DOI: http://dx.doi.org/10.15497/RDA00004
| Attachment | Size |
|---|---|
 Card RDA_RDA-WDS_single 4.pdf | 1.08 MB |
- Log in to post comments
- 15748 reads
Author: Mustapha Mokrane
Date: 02 Nov, 2016
The final paper: Key components of data publishing: using current best practices to develop a reference model for data publishing can be found here: https://zenodo.org/record/56789. This should be updated.
Author: Elizabeth Griffin
Date: 02 Mar, 2017
Dear Chair(s),
Your document speaks plenty about "publishing data", but does not specify which "data" are being meant. From what I can glean, it is using the same word for input (original) data, derived information, and deduced knowledge. This is muddling in the extreme. The three should never be mixed in the way suggested, for the very reason that they are separate entities and physical separation is the simplest way of illustrating *and teaching* that that is the case. The very fact that "numerous research groups" have approved the document is itself evidence that most others have not thought this through sufficiently clearly, but that they are assuming everyone else can guess which "data" word means what. Please attend to this issue - it is something that is growing worse nowadays because all of the younger generation coming into science speak of "data" from the get-go, and without much clarity of what they are referring to.