Difference between revisions of "MANUELA"
Line 26: | Line 26: | ||
+ | Additionally, the distribution information | ||
+ | of meiofaunal taxa from 72 datasets was | ||
+ | transferred to the European node of the Ocean | ||
+ | Biogeographic Information System (EurOBIS) of | ||
+ | the Census of Marine Life. (Eur)OBIS is a distributed | ||
+ | system that allows simultaneous searching | ||
+ | of multiple datasets for biogeographic information | ||
+ | on marine organisms and this through an | ||
+ | online, dynamic and global atlas (Grassle 2000; | ||
+ | Costello et al. 2005). EurOBIS has been developed | ||
+ | within the MarBEF network; the contribution of | ||
+ | MANUELA represents some 100 000 distribution | ||
+ | records to date. | ||
+ | The benefits of sharing | ||
+ | data among scientists can be increased in severalways, for example by offering co-authorship to | ||
+ | data providers when their data are used in publications | ||
+ | resulting from an integrated analysis, and | ||
+ | by explicitly citing the used datasets. The principles | ||
+ | of data sharing and data use can be written | ||
+ | down in a data policy document, which is at the | ||
+ | basis of the trust relationship among scientists and | ||
+ | data managers. This policy has to be approved | ||
+ | by all participants. The MANUELA project has | ||
+ | followed this strategy, thus making data sharing | ||
+ | advantageous for every data contributo | ||
+ | Another important factor to consider is the | ||
+ | uniqueness of the data. Even if a survey would | ||
+ | be repeated today, it remains impossible to replicate | ||
+ | the original conditions from e.g. 1970. This | ||
+ | emphasizes the need for safeguarding historical | ||
+ | data and underlines their importance for longterm | ||
+ | studies. | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | Recently, all the MANUELA collaborators | ||
+ | have decided to begin a second phase of the | ||
+ | project. This involves the continuation of capturing, | ||
+ | standardising and integrating datasets. The | ||
+ | MANUELA database is undoubtedly the largest | ||
+ | integrated database on meiobenthos ever developed. | ||
+ | It is hoped that this initiative will attract | ||
+ | other scientists and data in the future. | ||
+ | At the time of finalising this manuscript (June | ||
+ | 2008), two additional datasets representing 7024 | ||
+ | distribution records have been submitted for | ||
+ | processing and integration into the MANUELA | ||
+ | database. | ||
Revision as of 13:36, 21 August 2009
Traditionally, marine researchers collect data in their own field of expertise, often with a confined temporal and spatial range. These data are then normally used in a rather limited context. The Marine Biodiversity and Ecosystem Functioning Network of Excellence (MarBEF) implemented besides 17 other research projects the MANUELA project. MANUELA – Meiobenthic and Nematode biodiversity: Unravelling Ecological and Latitudinal Aspects – aimed to integrate the scattered information on the dynamics and the functional role of meiofauna into one single database so that joint analyses could be performed.
Creating the MANUELA database
During 15 months (from December 2005 to February 2007) the data for the MANUELA project was collected. Twelve European institutes delivered 83 datasets containing data on the spatial distribution of meiofauna. Although the data covered a very wide geographical range – from the Arctic to the Antarctic – the focus was on European marine and estuarine habitats.
Upon arrival dataset was archived and described in detail at the data centre of the Flanders Marine Institute (VLIZ). Describing these datasets in a standardised way made it possible to create a searchable metadata inventory. This metadata - data about the data- helps scientists to discover desired data and also enables them to share their data with other scientists. Archiving the datasets prevents them from being lost by ensuring the long-term integrity of the data. All child databases can be found here
Before these datasets could be integrated to create the MANUELA database, they had to be standardised. This meant verifying whether the same taxonomy, geographical names, abiotic variables and the same methodology was used. To verify that all datasets used the same taxonomy, species lists were matched against the European Register for Marine Species (ERMS).
The MANUELA database
The MANUELA database contains data, collected between 1966 and 2006, from 1283 sampling sites from all over the world, although most samples were collected at The North-East Atlantic region, the North Sea and the Mediterranean. A total of 5638 samples, collected at these sites were included in the database and represent 139.426 distribution records. The depth of the sites varied from -0,8 m (samples above the low water mark) to 8380 m. The database contains a total of 1864 unique taxon names, ranging from phylum to subspecies level. As the database mainly focussed on nematodes and copepods, these were most strongly represented with respectively 954 and 269 unique species names. Furthermore, the MANUELA database also contains biometric information (length, width and biomass) and abiotic parameters (grain size, nutrients, temperature,...)
Data policy
Additionally, the distribution information of meiofaunal taxa from 72 datasets was transferred to the European node of the Ocean Biogeographic Information System (EurOBIS) of the Census of Marine Life. (Eur)OBIS is a distributed system that allows simultaneous searching of multiple datasets for biogeographic information on marine organisms and this through an online, dynamic and global atlas (Grassle 2000; Costello et al. 2005). EurOBIS has been developed within the MarBEF network; the contribution of MANUELA represents some 100 000 distribution records to date.
The benefits of sharing
data among scientists can be increased in severalways, for example by offering co-authorship to
data providers when their data are used in publications
resulting from an integrated analysis, and
by explicitly citing the used datasets. The principles
of data sharing and data use can be written
down in a data policy document, which is at the
basis of the trust relationship among scientists and
data managers. This policy has to be approved
by all participants. The MANUELA project has
followed this strategy, thus making data sharing
advantageous for every data contributo
Another important factor to consider is the uniqueness of the data. Even if a survey would be repeated today, it remains impossible to replicate the original conditions from e.g. 1970. This emphasizes the need for safeguarding historical data and underlines their importance for longterm studies.
Recently, all the MANUELA collaborators
have decided to begin a second phase of the
project. This involves the continuation of capturing,
standardising and integrating datasets. The
MANUELA database is undoubtedly the largest
integrated database on meiobenthos ever developed.
It is hoped that this initiative will attract
other scientists and data in the future.
At the time of finalising this manuscript (June
2008), two additional datasets representing 7024
distribution records have been submitted for
processing and integration into the MANUELA
database.
Results
The MANUELA project gave scientist the opportunity to perform large-scale analyses of the nematode and copepod communities on an European and even larger scale. Six mayor topic have been addressed:
- large scale patterns in meiobenthic diversity and community composition
- the universal response of meiobenthos to disturbance,
- patterns in marine nematode morphometry,
- patterns in deep-sea nematode communities,
- prediction of nematode biodiversity by using artificial neural networks
- large scale patterns in harpacticoid copepod community composition and diversity.
Publications!!!