Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations

Data management plans (DMPs) have become nearly a worldwide requirement for research funding. To meet these new funding agency expectations, information professionals across domains and the world have worked to create resources and services to successfully implement and sometimes assess DMPs. This essay presents a series of case studies from different institutions across the globe to highlight current practices and share recommendations for future work. A summary of various projects related to DMP implementation, assessment, and evaluation in different contexts provides a useful overview of current practices. The essay concludes with recommendations for practical oversight and scoring to improve DMPs’ utility in enabling the sharing of data

Linked Data: Thinking big, starting small

<p>Talk given at VALA 2014 and which formed the basis of a later paper.</p

digital-scholarship/dp-ready: First alpha release

A very early release that demonstrates using Backbone to read the.csv from the CESSDA-CDM model

The Role of Research Data Repositories in Social and Cultural Informatics and the Wider Open Data Ecosystem

No abstract available

The Role of Research Data Repositories in Social and Cultural Informatics and the Wider Open Data Ecosystem

No abstract available

File Management 101

File Management 101 is an Open Educational Resource (OER) designed to guide people in the practical understanding of what good file management looks like, applying a consistent file naming scheme and developing directory structures that makes sense in your context. Good file management practice allows your work to be understandable and identifiable by both humans and machines. Using a file naming convention, allowes files to be easily located and the contents clearly defined.</p

Demystifying digital preservation: taking action with a capability maturity model

The University of Melbourne is currently investing in several projects to improve long-term data curation and implement digital preservation activities. Digital preservation capability maturity models are one element being explored to benchmark current capabilities, and to plan for and implement incremental improvements to support digital preservation. We describe our experience building a tool based on the CESSDA-SAW Capability Development Model (CESSDA-CDM), and show how we simplified this model, with potential benefits for other organisations seeking to get started with digital preservation. We detail lessons learned and next steps to make the tool applicable to a wider range of organisations

Experiment 12/2016 Final Data - chart png

demonstratio

Göttingen-CODATA RDM Symposium presentation: How an Unconference could help connect your Research Data Management Services.

Slides from talk delivered by Peter Neish at the CODATA-Göttingen symposium on 'the critical role of university RDM infrastructure in transforming data to knowledge', Göttingen, Germany, 18-20 March 201

304.1 Defining requirements for machine-actionable data management plans

Data Management Plans (DMPs) are free-form text documents describing data used and produced in research projects. The workload and bureaucracy often associated with tradi- tional DMPs can be reduced when they become machine- actionable. However, there is no common definition of what machine-actionable DMPs really are. This hinders the com- munication between stakeholders and leads to scepticism, or conversely to exaggerated expectations. This paper aims to clarify what machine-actionable DMPs are and provides examples of how involved stakeholders can benefit from them. It describes an open stakeholder con- sultation performed by the RDA DMP Common Standards working group. The main objective was to define the scope of information covered by machine-actionable DMPs and formulate an initial set of requirements for a common data model for machine actionable DMPs. To do this we used methodology known from system and software requirements engineering to collect information on how needs for infor- mation of particular stakeholders evolve over phases of the research data lifecycle. Data Management Plans (DMPs) are free-form text documents describing data used and produced in research projects. The workload and bureaucracy often associated with tradi- tional DMPs can be reduced when they become machine- actionable. However, there is no common definition of what machine-actionable DMPs really are. This hinders the com- munication between stakeholders and leads to scepticism, or conversely to exaggerated expectations. This paper aims to clarify what machine-actionable DMPs are and provides examples of how involved stakeholders can benefit from them. It describes an open stakeholder con- sultation performed by the RDA DMP Common Standards working group. The main objective was to define the scope of information covered by machine-actionable DMPs and formulate an initial set of requirements for a common data model for machine actionable DMPs. To do this we used methodology known from system and software requirements engineering to collect information on how needs for infor- mation of particular stakeholders evolve over phases of the research data lifecycle