DCC Charter and Statement of Principles
This Charter and Statement of Principles is intended to
- Convey key curation messages to primary stakeholders and to our wider community.
- Inform and influence political positioning in the curation and preservation landscape.
- Promote and publicise the DCC and curation concepts.
What is digital curation?
Digital curation is maintaining and adding value to a trusted body of digital research data for current and future use; it encompasses the active management of data throughout the research lifecycle.
Data are evidence supporting research and scholarship; better research is based on verifiable data, which may in turn lead to new knowledge. Observational, environmental and other data are unique and cannot be recaptured or reproduced.
Data may represent records and have associated legal requirements; curation will allow us to protect the data for the future, and manage risks.
Where data is created in the course of research that is publicly funded, a duty to manage is implied, including the provision of access to data and data reuse. Meeting this obligation will be enabled by good data stewardship.
Curation requires effort and resources. In principle, any digital object or database may be perceived as likely to be of sufficient value for the effort and expense of curation. Data may be curated in the short-term, but may not require long-term preservation.
There are cost barriers to both curation and preservation, so an effective appraisal and selection process is essential. It is important to build an appropriate robust, distributed infrastructure to support curation.
Components may include laboratory repositories, institutional repositories, subject or discipline repositories, databases and data centres. Co-ordinated strategies and policies at research funder level are required, together with sufficient investment for the future.
Curation applies throughout the research lifecycle, from before or at the point of data creation, through primary use to eventual disposal. The DCC Curation Lifecycle Model describes the processes involved in curation. The curation lifecycle may continue indefinitely and curation cannot be left to the end of primary use, for example at the end of a funded project.
Who should have responsibility?
A number of roles and responsibilities are involved in curation and preservation practice within the Curation Lifecycle. Curation should start with the individual or group that creates or captures the information.
Curation requires a significant amount of domain knowledge; data scientists and data curators may add value to the original data. Users, custodians and reusers of the data and the funding bodies have curation responsibilities. There is currently a shortage of experienced data scientists and curators with digital preservation experience.
How will curation be achieved?
The key is to follow good practice, including domain, national and international standards in the capture, management and archiving of data.
Processes and tools to assure easy discovery, control access and to facilitate data sharing and reuse are required. An infrastructure of data centres and trusted repositories, together with methodologies to demonstrate provenance and assure authenticity, are essential.
Curation practice in detail will depend on the domain or discipline. Data structure, scale and ownership must also be taken into account, as well as the diversity of cultures and research methodologies.
Curation can build on and fit in with current practices, for example, researchers' informal sharing of ongoing research with colleagues; or their training, or the need to comply with formal regulatory and ethical procedures.
The Digital Curation Centre has a commitment to:
Facilitate data creation, access, use and reuse in the short and longer term, together with global sharing, both within and across disciplines, sectors and communities.
Promote data sharing policies which include the production of a data management plan.
Advocate preservation and management models which provide an appropriate and established foundation for digital preservation activity, for example the OAIS Reference Model and ISO 15489: Information and Documentation - Records Management.
Promote the practice of creating documentation and metadata as a means of providing context for datasets, in order to facilitate the future discovery, access, use and reuse of data.
Support data creators to submit their data or other research materials to a trusted and sustainable repository, archive, data centre or other preservation service, for further curation and long-term preservation, in line with documented collecting policies and funder policy guidelines.
Advocate that repositories, archives, data centres and other preservation services, identify, collect and share the data and information structures (representation information), that will be needed to render archived data in a form understandable over the long-term to its user communities (for example, in a Representation Information Registry Repository such as RRORI).
Stress the requirement for persistent identification of a digital object, to facilitate discovery, linking and citation of a dataset.
Recommend that institutions perform a formal data audit to assess the scale and scope of curation activity and use a structured methodology, such as the Data Audit Framework.
Promote effective curation tools such as the DRAMBORA Interactive Toolkit, which provides an appropriate approach for the audit of institutional and subject repositories.
Provide quality training and resources, such as Digital Curation 101 and the DCC Digital Curation Manual, as a means of building capacity and skills within the education community.
- Digital curation
- About us
- Briefing Papers
- Introduction to Curation
- Appraisal and Selection
- Curating Emails
- Curating e-Science Data
- Curating Geospatial Data
- Data Accreditation
- Data Citation and Linking
- Data Protection
- Database Archiving
- Digital Repositories
- Freedom of Information
- Genre Classification
- Persistent Identifiers
- Trust Through Self Assessment
- Using OAIS for Curation
- Web 2.0
- What is Digital Curation?
- Common Directions in Research Data Policy
- 5 Steps to Research Data Readiness
- Citizen Science
- Making the Case for RDM
- Legal Watch Papers
- Standards Watch Papers
- Technology Watch Papers
- Introduction to Curation
- How-to Guides & Checklists
- Appraise & Select Research Data for Curation
- Cite Datasets and Link to Publications
- Develop RDM Services
- Develop a DMP
- Discover Requirements
- Five Steps to Decide What Data to Keep
- Five Things You Need to Know About RDM and the Law
- License Research Data
- Track Data Impact with Metrics
- Using RISE
- Where to keep research data
- Write a Lay Summary
- Developing RDM Services
- Reviewing research data platform capabilities at CISER
- Using EPrints to Build a Repository for UEL
- Assigning DOIs at Bristol
- DMPs in the Arts and Humanities
- Improving RDM at Monash
- Improving Research Visibility
- Increasing Participation in Training
- RDM Training for Librarians
- RDM strategy: moving from plans to action
- Storing and Sharing Data in Hull
- Curation Lifecycle Model
- Curation Reference Manual
- Peer review
- Editorial Board
- Completed chapters
- Appraisal and Selection
- Archival Metadata
- Archiving Web Resources
- Automated Metadata Generation
- Curating Emails
- File Formats
- Investment in an Intangible Asset
- Learning Object Metadata
- Open Source for Digital Curation
- Preservation Metadata
- Preservation Scenarios for Projects Producing Digital Resources
- Preservation Strategies
- Principles for Enabling Access to Engineering Design Information Through Life
- Scientific Metadata
- The Role of Microfilm in Digital Preservation
- Chapters in production
- Policy and legal
- Five Steps to Developing a Research Data Policy
- Overview of funders' data policies
- Funders' data policies
- Institutional data policies
- Policy tools and guidance
- RDM guidance webpages
- Roadmaps to EPSRC Expectations
- Freedom of information FAQ
- MRC data plan FAQ
- Open source FAQ
- Data Management Plans
- Case studies
- Repository audit and assessment
- Publications and presentations
- Curation journals
- Informatics research
- External resources
- Tools & Services
- Guidance, Reports and Directories
- Projects and Initiatives
- Organisations and Networks
- Standards and Specifications
- Resources of Historical Interest
- Online Store
- Briefing Papers
- Forthcoming training events
- Request a training session
- Previous training events
- Training and reference materials
- Career profiles and related data management skills
- DC 101 training materials
- Disciplinary RDM training
- RDM for librarians
- Skills frameworks
- Data management courses and training
- Research Data Management Forum (RDMF)
- Interviews: Setting the Scene
- Social media directory
- DCC Associates Network
- DCC blogs
- Survey: Budgeting for RDM
- Tailored support
Book: Managing Research Data
Published in January 2012, Managing Research Data aims to introduce the broader research community to such core issues of data management as, for example, the terms of compliance with funder expectations, the context and recommended approaches to individual and institutional data management planning and the roles and responsibilities of key players in the research data lifecycle.