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GB20 Nodes training course
Module 3 – Knowledge exchange I
Supporting data digitization and publishing
Facilitator: Alberto González-Talaván
Senior Programme Officer for Training
GBIF Secretariat
4 October 2013
Summary
This is a discussion and knowledge exchange session on best
practices to support data digitization and publishing through
the GBIF network, which is one of the key functions of GBIF
Nodes, but it is also one of the most challenging.
In this session we will concentrate on addressing social and
cultural barriers to the publishing of valuable data.
With this presentation we just want to bring some ideas to the
table to start the discussions.
This presentation corresponds to
Module 3 of the GB20 Training
course for Nodes hold in October
2013 in Berlin, Germany.
Outline
1. Barriers to data publishing
2. Data restriction levels
3. Strategies to support data digitization and
publishing
4. Resources
Barriers
1. Lack of knowledge
2. Lack of understanding
3. Lack of will
4. Perceived data value
5. Privacy concerns
6. Lack of authorization
7. Lack of time / planning
8. Lack of capacity
9. Lack of funding
10. Lack of infrastructure
Psychological &
cultural
barriers
Practical
barriers
Capacity
barriers
Institutional
barriers
Data restriction levels
1. Refuse to share.
2. Refuse to share until they have
exhausted the planned use of the data.
3. Will only share their data for a fee.
4. Will only share data under specific
restrictions.
5. Agree to share data openly.
Strategies
1. Facilitate access to financial support.
2. Call upon commitments or legal mandates.
3. Call upon open access / moral principles.
4. Show the benefits of a better data management.
5. Show the benefit for their scientific careers.
6. Peer pressure.
7. Start / support big digitization programmes.
8. Start / support data repatriation efforts.
GB20 Nodes training course
Module 3 – Knowledge exchange I
Supporting data digitization and publishing
Facilitator: Alberto González-Talaván
Senior Programme Officer for Training
GBIF Secretariat
4 October 2013

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Module 3 - Knowledge exchange I: Supporting data digitizationa and publishing

  • 1. GB20 Nodes training course Module 3 – Knowledge exchange I Supporting data digitization and publishing Facilitator: Alberto González-Talaván Senior Programme Officer for Training GBIF Secretariat 4 October 2013
  • 2. Summary This is a discussion and knowledge exchange session on best practices to support data digitization and publishing through the GBIF network, which is one of the key functions of GBIF Nodes, but it is also one of the most challenging. In this session we will concentrate on addressing social and cultural barriers to the publishing of valuable data. With this presentation we just want to bring some ideas to the table to start the discussions. This presentation corresponds to Module 3 of the GB20 Training course for Nodes hold in October 2013 in Berlin, Germany.
  • 3. Outline 1. Barriers to data publishing 2. Data restriction levels 3. Strategies to support data digitization and publishing 4. Resources
  • 4. Barriers 1. Lack of knowledge 2. Lack of understanding 3. Lack of will 4. Perceived data value 5. Privacy concerns 6. Lack of authorization 7. Lack of time / planning 8. Lack of capacity 9. Lack of funding 10. Lack of infrastructure Psychological & cultural barriers Practical barriers Capacity barriers Institutional barriers
  • 5. Data restriction levels 1. Refuse to share. 2. Refuse to share until they have exhausted the planned use of the data. 3. Will only share their data for a fee. 4. Will only share data under specific restrictions. 5. Agree to share data openly.
  • 6. Strategies 1. Facilitate access to financial support. 2. Call upon commitments or legal mandates. 3. Call upon open access / moral principles. 4. Show the benefits of a better data management. 5. Show the benefit for their scientific careers. 6. Peer pressure. 7. Start / support big digitization programmes. 8. Start / support data repatriation efforts.
  • 7. GB20 Nodes training course Module 3 – Knowledge exchange I Supporting data digitization and publishing Facilitator: Alberto González-Talaván Senior Programme Officer for Training GBIF Secretariat 4 October 2013

Editor's Notes

  1. Template image composed from images by J amie Brelsford (United Kingdom) and anant12 (India), obtained trhough stock.xchng (http://www.sxc.hu/photo/604932, http://www.sxc.hu/photo/1426670)
  2. On these points: Lack of knowledge: The holder may not be aware how sharing on the internet works, and the existence of initiatives such as GBIF. Lack of understanding: the holder may have heard about GBIF and data publishing, but thinks it must be complicated, bureaucratic, very technical… Lack of will: The holder understand the process but does not want to go through it because of cultural issues, perceived sensitivity of the data, Perceived data value: the holder thinks that the data has economic or intrinsic value that (s)he wants to exploit. Privacy concerns: Lack of authorization: The holder would like to share the data, but institutional policies prevent it. Lack of time / planning: The holder never finds an appropriate moment to start the digitization, data transformation or publishing. Or got discouraged after not properly planned attempts. Lack of capacity: the holder would like to digitize and share the data, but (s)he doesn’t know what is the best (or any) way to do it. Lack of resources/funding: the holder would like to digitize and share the data, but there is no spare capacity in the institution to carry out such tasks. Lack of infrastructure: the holder would like to digitize and share the data, but (s)he does not have the technical infrastructure to do it.
  3. On these points: Facilitate access to financial support: provide digitization grants or help the data holders to obtain funding that funds directly or indirectly the digitization. Call upon commitments or legal mandates: Try to use commitments or legal mandates that apply to the institution or the country as a way to convince the data holder. Call upon open access / moral principles: the results of publicly funded research should be made public, access to science should not be restricted, etc. Show the benefits of a better data management: management of digital information can facilitate the data holder’s daily work. Show the benefit for their scientific careers: publishing data can provide scientific credit through data papers, citations and data usage indexes. Peer pressure: competing/fellow institutions are already sharing data and the holder’s institution is being left behind. Start / support big digitization programmes: promote the start of big digitization programmes that will benefit many holders at the same time. Start / support data repatriation efforts: start programmes that will allow the return of digital data describing your county’s biodiversity.
  4. Template image composed from images by J amie Brelsford (United Kingdom) and anant12 (India), obtained trhough stock.xchng (http://www.sxc.hu/photo/604932, http://www.sxc.hu/photo/1426670)