Managing data locally to answer questions globally: The role of collaborative science in ecology. (3rd April 2020)
- Record Type:
- Journal Article
- Title:
- Managing data locally to answer questions globally: The role of collaborative science in ecology. (3rd April 2020)
- Main Title:
- Managing data locally to answer questions globally: The role of collaborative science in ecology
- Authors:
- Aubin, Isabelle
Cardou, Françoise
Boisvert‐Marsh, Laura
Garnier, Eric
Strukelj, Manuella
Munson, Alison D. - Editors:
- de Bello, Francesco
- Abstract:
- Abstract: Ecologists are increasingly asking large‐scale and/or broad‐scope questions that require vast datasets. In response, various top‐down efforts and incentives have been implemented to encourage data sharing and integration. However, despite general consensus on the critical need for more open ecological data, several roadblocks still discourage compliance and participation in these projects; as a result, ecological data remain largely unavailable. Grassroots initiatives (i.e. efforts initiated and led by cohesive groups of scientists focused on specific goals) have thus far been overlooked as a powerful means to meet these challenges. These bottom‐up collaborative data integration projects can play a crucial role in making high quality datasets available because they tackle the heterogeneity of ecological data at a scale where it is still manageable, all the while offering the support and structure to do so. These initiatives foster best practices in data management and provide tangible rewards to researchers who choose to invest time in sound data stewardship. By maintaining proximity between data generators and data users, grassroots initiatives improve data interpretation and ensure high‐quality data integration while providing fair acknowledgement to data generators. We encourage researchers to formalize existing collaborations and to engage in local activities that improve the availability and distribution of ecological data. By fostering communication andAbstract: Ecologists are increasingly asking large‐scale and/or broad‐scope questions that require vast datasets. In response, various top‐down efforts and incentives have been implemented to encourage data sharing and integration. However, despite general consensus on the critical need for more open ecological data, several roadblocks still discourage compliance and participation in these projects; as a result, ecological data remain largely unavailable. Grassroots initiatives (i.e. efforts initiated and led by cohesive groups of scientists focused on specific goals) have thus far been overlooked as a powerful means to meet these challenges. These bottom‐up collaborative data integration projects can play a crucial role in making high quality datasets available because they tackle the heterogeneity of ecological data at a scale where it is still manageable, all the while offering the support and structure to do so. These initiatives foster best practices in data management and provide tangible rewards to researchers who choose to invest time in sound data stewardship. By maintaining proximity between data generators and data users, grassroots initiatives improve data interpretation and ensure high‐quality data integration while providing fair acknowledgement to data generators. We encourage researchers to formalize existing collaborations and to engage in local activities that improve the availability and distribution of ecological data. By fostering communication and interaction among scientists, we are convinced that grassroots initiatives can significantly support the development of global‐scale data repositories. In doing so, these projects help address important ecological questions and support policy decisions. Abstract : Ecologists increasingly ask broad questions that require vast datasets. Despite strong mobilization to make ecological data more open, most datasets remain unavailable. We highlight the overlooked role of bottom‐up collaborative initiatives in making high‐quality datasets available. Crucially, such initiatives can improve data management practices, data interoperability and interpretation, while addressing many of the sociocultural barriers to sharing data. … (more)
- Is Part Of:
- Journal of vegetation science. Volume 31:Number 3(2020:May)
- Journal:
- Journal of vegetation science
- Issue:
- Volume 31:Number 3(2020:May)
- Issue Display:
- Volume 31, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 31
- Issue:
- 3
- Issue Sort Value:
- 2020-0031-0003-0000
- Page Start:
- 509
- Page End:
- 517
- Publication Date:
- 2020-04-03
- Subjects:
- data integration -- data management -- data sharing -- ecoinformatics -- ecological data
Plant ecology -- Periodicals
Plant communities -- Periodicals
Plant populations -- Periodicals
581.7 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1654-1103 ↗
http://onlinelibrary.wiley.com/ ↗
http://mclink.library.mcgill.ca/sfx?url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&rfr_id=info:sid/sfxit.com:opac_856&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&sfx.ignore_date_threshold=1&rft.object_id=954925610940&svc_val_fmt=info:ofi/fmt:kev:mtx:sch_svc& ↗
http://www.opuluspress.se ↗ - DOI:
- 10.1111/jvs.12864 ↗
- Languages:
- English
- ISSNs:
- 1100-9233
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5072.277000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13137.xml