HMTF programme – specific links
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 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
- Information about new approach to uploading SAFE datasets
- SAFE data policy
- SAFE metadata protocols
- SAFE open datasets (e.g. Above-ground microclimate, SAFE experimental layout, sampling stations, LiDAR flight locations, stream networks)
- SAFE project Wiki pages – shared knowledge base for researchers working at SAFE
- Earthcape – platform for SAFE datasets
- ForestPlots – hosts information about over 2000 forest plots in 31 countries and networks including ECOFOR, AfriTRON, RAINFOR
- GEM – Global Ecosystems Monitoring
- TRY – TRY is a network of vegetation scientists headed by Future Earth and the Max Planck Institute for Biogeochemistry, providing a global archive of curated plant traits.
Research data management resources
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:
See general information for further advice.
ITBC, University of Malaysia
Mendel University in Brno
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.