1. Data inventory, audit and management tools Veerle Van den Eynden UK Data Archive

2. Useful tools for ESRC Research Centres
Which tools can help ESRC research centres with data management:
ESDS data inventory template
DCC data audit framework
Data management planning tools

3. ESDS data inventory template
To help co-ordinate data management and future data submissions for ESRC data centres
Funding source
Programme or initiative (ESRC or otherwise)
Project title
PI name
Other researchers / data contact
Project start & end date
New datasets created?
How many datasets created
Dataset type (qualitative, quantitative, mixed methods, model)
Offering data for deposit at ESDS? (Note problematic issues surrounding data sharing)
Other plans to share data

4. DCC Data Audit Framework (DAF)
provides organisations with the means to identify, locate, describe and assess how they are managing their research data assets
online tool
helps ensure that research data produced in UK Higher Education Institutions is preserved and remains accessible in the long term

5. DCC Data Audit Framework (DAF)
define purpose and scope of audit
identify research data assets
assess management of data (vital assets)
identify weaknesses in data policy and current data creation and curation procedures
improve data management

6. DCC data audit framework
Data assets inventory
Name of data asset
Description of the asset
Asset manager(s)
Reference
Asset classification (vital, important, minor)
Classification comments
General comments
Data management assessment
(core elements)
Data asset ID
Data creator(s)
Title
Description, incl. spatial, temporal or subject coverage
Subject
Creation date
Purpose
Source
Updating frequency
Type
Format
Rights and restrictions
Usage frequency
Relation
Back-up and archiving policy
Management to date

7. Data management planning
Examples:
Relu data management plan – developed by ESDS / UKDA and NERC
DCC data management template

8. DCC data management template
Introduction and context
Legal, rights and ethical issues: IPR, copyright, licenses, ethical issues, consent agreements
Access, data sharing and reuse: how share, access restrictions, potential uses
Data collection/ development methods, incl metadata, standards, quality assurance
Data standards: data type, formats, platforms
Short-term storage and data management, incl. access management, back-up
Deposit and long-term preservation: where, how, which preparation, which documentation
Resourcing: roles and responsibilities, costs
Compliance and review: adherence to DMP, DMP reviews
Agreement/ratification by stakeholders (if useful)