Resources

HMTF programme – specific links

NERC website  

NERC – HMTF program information

Award details

NERC Data policy document

Guidance notes for Data policy

NERC data policy information page

NERC Data Catalogue service   – Searchable catalogue of NERC funded data held at all NERC data centres.

 

Environmental Information Data Centre (EIDC) 

 

The EIDC is the NERC data centre which will store HMTF datasets of long term value.

EIDC website

EIDC data catalogue:     View descriptions of currently available datasets from the EIDC and see what discovery metadata is required for the catalogue when your dataset is uploaded to EIDC.

Datasets held by the Environmental Information Data Centre can be found by searching or browsing the CEH Data Catalogue using a text search and/or map search option. Each data resource has its own page, providing a description, background information, digital object identifier (where available) and links from which the dataset can be downloaded or ordered. Datasets are available under the Open Government Licence where possible, and licences for each dataset are provided.

Amazonian stream dataset – example of available dataset

The deposit process can be viewed here.

 

Stability of Altered Forest Ecosystems (SAFE) project

Project website www.safeproject.net

 

Online databases

 

Research data management resources

Institution guidelines

As outlined in the HMTF data management plan, researchers in the BALI, ECOFOR and LOMBOK consortia are encouraged to follow the data management guidelines outlined by their institutions (e.g. backup, storage, policies and support).  Links to relevant website pages by institution are shown below:

UK

Cranfield University

Queen Mary University of London

University of Aberdeen

University of Bristol

University of Cambridge

University of Edinburgh

Imperial College London

University of Kent

University of Lancaster

University of Leeds

University of Liverpool

University of Oxford

University of York

Brazil

See general information for further advice.

Malaysia

ITBC, University of Malaysia

Other

James Cook University

National University of Singapore

Northern Arizona University

Mendel University in Brno

Other resources

The Digital Curation Centre (DCC) website has a wealth of information about all aspects of data management.  While it was set up to support UK research institutions, the majority of information is applicable to all research data management.

DataOne (www.dataone.org) is another good source of information for general guidelines on data management.  They list many resources and particularly useful are their summary sheets on various data management aspects.

  • Data management introduction – Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle
  • Data sharing – Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data
  • Data management planning – Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample
  • Data entry and manipulation Best practices for data entry, data entry and data manipulation tools.
  • Data quality control and assurance – Types of data errors, best practices for data quality assurance and control to prevent and correct errors.
  • Protecting your data – The difference between data protection, backup, archiving and preservation, best practices for backing up and preserving data.
  • Metadata – Metadata defined, information included in metadata, selection of metadata standards, the value and utility of metadata.
  • Writing quality metadata – Best practices for writing high quality metadata
  • Data citation – Data citation defined, benefits of data citation, examples and best practices for data citation
  • Data analysis and workflows Types of data analyses, introduction to reproducibility, provenance, and workflows, informal (conceptual) and formal (executable) workflows
  • Legal and policy issues – Legal and policy issues, copyright and licenses, data restrictions and ethical considerations.

Digital Object Identifiers