Change search
ReferencesLink to record
Permanent link

Direct link
Policy guidelines for open access and data dissemination and preservation
Show others and affiliations
2015 (English)Report (Other academic)
Abstract [en]

The RECODE project identified two overarching issues that are inhibiting take-up of policies related to open access to research data: a lack of a coherent open data ecosystem; and a lack of attention to the specificity of research practices, processes and forms of data collections. Against this background, the report provides policy recommendations on open access to research data targeted at key stakeholders in promoting open access: research funders; data managers; research institutions; and publishers. These recommendations will assist the above stakeholders in furthering the goals of open access to research data in each of their organizations and networks. Recommendations include both overarching and stakeholder-specific ones as suggestions to address and attend to these two issues by building on or learning from existing experience. In doing so, RECODE recognises that in some situations it is appropriate to build consensus and transfer good practice across disciplines and stakeholder groups, while in others it is appropriate to enable and support specific groups to maintain their particularity in relation to disseminating, preserving and re-using research data. In addition, for each stakeholder group good practice examples are provided that can serve as “models” for providing open access to research data. Finally, the recommendations and good practice examples will reduce “costs” associated with providing open access, as stakeholders do not need to develop their own expertise, but can use this information as a foundation to develop their own policies, support actions and initiatives.

Place, publisher, year, edition, pages
Seventh Framework Programme , 2015. , 57 p.
, RECODE Deliverable D5.1
Keyword [en]
Scientific data, open access, dissemination, preservation, policy issues
National Category
Computer Science
URN: urn:nbn:se:bth-6397Local ID: diva2:833901
16 authors total. The 10 above + Merel Noorman, Sally Wyatt, Lorenzo Bigagli, Rachel Finn, Thordis Sveinsdottir, Kush WadhwaAvailable from: 2015-03-12 Created: 2015-03-12 Last updated: 2016-05-24Bibliographically approved

Open Access in DiVA

fulltext(778 kB)59 downloads
File information
File name FULLTEXT01.pdfFile size 778 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Linde, Peter
By organisation
The Library
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 59 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 231 hits
ReferencesLink to record
Permanent link

Direct link