Showing posts with label best practice. Show all posts
Showing posts with label best practice. Show all posts

Tuesday, 14 January 2020

Data management for data intensive research (i.e. eResearch) in a nutshell

Eleven tips for working with large data sets


“It’s a mindset,” says Teal, “treating data as a first-class citizen.

https://www.nature.com/articles/d41586-020-00062-z

Monday, 20 August 2018

The need for science to focus on data sharing

From: http://sciencemeetsbusiness.com.au/nas-releases-open-science-report-claims-data-just-valuable-publication/?

The need for science to focus on data sharing

July 27, 2018
Should scientists’ incentives place as much emphasis on how openly available they make their data, as on the scholarly articles they publish?
The USA’s National Academies of Sciences (NAS) has released a new study that sheds light on the state of open science around the world. The report, Open Science by Design: Realizing a Vision for 21st Century Research, says different scientific disciplines are facing different issues, but all of them need to focus on data as much as publications.  More....



Thursday, 20 July 2017

Data Governance Australia draft Code of Practice

Data Governance Australia is developing a code of practice as part of an on-going effort to set leading industry standards, promote a culture of best practice, and to drive innovation by increasing consumer confidence in the data practices of organisations. The DGA Code of Practice is a principles-based self-regulatory regime that sets leading industry standards and benchmarks for responsible and ethical data-practices through 9 core principles. The draft Code of Practice is now available for comment by all interested.

Sunday, 30 April 2017

Toolkit of Best Practice for Research Data Management

The LEARN Project has just released its free Toolkit of Best Practice for Research Data Management:

The Toolkit expands on the issues outlined in the LERU Roadmap for Research Data (2013). It is nearly 200 pages long, and includes:
  • 23 Best-Practice Case Studies from institutions around the world, drawn from issues in the original LERU Roadmap;
  • 8 Main Sections, on topics such as Policy and Leadership, Open Data, Advocacy and Costs;
  • One Model RDM Policy, produced by the University of Vienna and accompanied by guidance and an overview of 20 RDM policies across Europe;
  • An Executive Briefing in six languages, aimed at senior institutional decision makers.
LEARN's Final Conference will take place in London on 5 May:

Tuesday, 28 February 2017

COAR Research Data Management survey results

In September 2016, COAR (Confederation of Open Access Repositories) launched a Research Data Management (RDM) Interest Group to help the community expand their operations to support RDM. This group will provide a forum for discussion about managing research data, identify best practices and strategies, and support capacity building for RDM in the repository community.

RDM is wide ranging and there are already many organizations active in this area. The aim of COAR’s work is to promote and articulate the role of research institutions in providing access to research data and to help address the challenges of RDM for the repository community.

See the results of research data management survey, undertaken in December 2016

The COAR Research Data Management Interest Group has identified the following activities for 2016-2018:
  1. Webinars
  2. Develop an assessment framework to help institutions evaluate data repository systems
  3. Undertake a brief survey of RDM activities within the COAR membership
  4. Identify and link to key training material and resources
  5. Share collection policies for RDM in repositories
  6. Recommend metadata standards for research data sets

https://www.coar-repositories.org/activities/repository-content/rda-interest-group-the-long-tail-of-research-data/

Monday, 1 August 2016

UK: Concordat on Open Research Data launched

Four of the UK’s leading research organisations have, today, launched a concordat that proposes a series of clear and practical principles for working with research data....

http://www.rcuk.ac.uk/media/news/160728/?platform=hootsuite