Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Ecological research data and data sharing complexities in Uganda/SimonTakozekibiNampindo


Published on

Presented during Uganda Open Data/Open Science National Dialogue 25-26 April 2018.

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

Ecological research data and data sharing complexities in Uganda/SimonTakozekibiNampindo

  1. 1. Ecological research data and data sharing complexities in Uganda Simon Takozekibi Nampindo April 25th, 2018
  2. 2. Presentation flow • WCS Data • Products generated • Ecological and socioeconomic data sources in Uganda • Data access constraints and challenges • Strategies and best practices • Recommendations to government
  3. 3. VISION: WCS envisions a world where wildlife thrives in healthy lands and seas, valued by societies that embrace and benefit from the diversity and integrity of life on earth. MISSION: WCS saves wildlife and wild places worldwide through science, conservation action, education, and inspiring people to value nature. GOAL: The conservation of more than 50 percent of the world’s biological diversity while ensuring a positive impact on millions of people globally.
  4. 4. WCS has been supporting conservation in Uganda since 1957  Current focus : Greater Virunga Landscape, Murchison-Semliki Landscape and the Kidepo Landscape.
  5. 5. Primary/Raw Biological data
  6. 6. Taxa and sites with biological data Taxon Location Recent Survey period Partners Plants KVNP, Otzi and Agoro Agu FR, East Madi WR, QENP, and Murchison-Semliki Landscape (i.e. MFNP, Kabwoya, Kaiso-Tonya, Budongo, Bugungu, Karuma, Bugoma, Kagombe, Wambabya, Bujawe, Corridor forests), QENP, Kyambura, RMNP, Kasyoha- Kitomi, Kalinzu, Maramagambo (QECA), Semliki Forest, BINP, Echuya 2014-2017 UWA, NFA Makerere University (CONUS), NBDB Birds KVNP, East Madi WR, QENP, and Murchison-Semliki landscape, L. Albert, Edward, MGAHINGA, BINP, RMNP 2014-2017 NBDB, UWA, NFA Small mammals Murchison-Semliki landscape 2014-2015 CONUS, Field Museum, Chicago, UWA Amphibians and reptiles Murchison-Semliki landscape 2014-2015 CONUS, UWA TRENTO Butter flies and dragon flies Murchison-Semliki landscape 2014-2015 CONUS, UWA, NBDB Large and medium mammal surveys QECA, MFNP, KVNP, BINP, Budongo, Kabwoya, Kaiso-Tonya, Bugungu, Karuma, Bugoma, KNP, RMNP, EAST MADI 1957- 2015 UWA, NFA Fisheries L. George & Kazinga Channel (2007/8), L. Albert Catchment (2014) 2014 NaFIRRI
  7. 7. Species- specific surveys and sites Species Location Period of survey Partners Grey crowned crane Country-wide survey, forest corridors in Murchison-Semliki landscape 2006, 2016 NatureUganda Lions QENP, MFNP, KVNP 2010 UWA Crocodiles Crocodylus niloticus MFNP, KVNP 2009-2011 UWA, Mathias Behangana Chimpanzees Albertine Rift forests, KK, Kalinzu- Maramagambo CFRs, Corridor forests, 1999-2002; 2008, 2009 JGI, WCS, UWA Mountain Gorillas Bwindi, and Mgahinga UWA, IGCP Elephants KVNP, QENP, MFNP, Karenga WR, Lipan 2014 UWA, WCS
  8. 8. Landscape level data Data Type Location Period of survey Partners Long term ecological data Global Observation Research Initiative in Alpine Environments (GLORIA) ( Rwenzori Mountains NP, Mabira Central Forest Reserves 2008 ITFC TEAM ( Bwindi INP, Virunga Massif 2009 ITFC, CI Climate data – weather stations in AR MFNP, BINP, KVNP, QENP, SNP 2011 UWA, ASU Socioeconomic data AR 2003, 2006-2010 CARE int.,
  9. 9. AERIAL photos (2006-2010) & steel photos, videos
  10. 10. Telemetry: Behavioral Monitoring
  11. 11. Socioeconomic data
  12. 12. PRODUCTS
  13. 13. Key Biodiversity Areas A Global Standard for the Identification of Key Biodiversity Areas
  14. 14. Threatened Habitat of Uganda
  15. 15. Key sites of conservation importance for endemic and threatened species in Uganda National Red list assessment for Uganda (http://www.nati tegory/library/reg ion/africa/)
  16. 16. DATA SHARING: A COMPLEX SUBJECT AND VALUABLE COMMODITY • The senate committee on commerce and judiciary spent 2 days discussing data management, sharing and protection with Mark Zuckerberg, Founder and CEO, FACEBOOK
  17. 17. Data sharing starts here – get it right
  18. 18. Data sources • National data holders • Biomass data - (NFA) • Oil & Gas data (Petroleum Authority) • Citizens data - National Information Registration Authority (NIRA) • National Population and housing census data – UBOS • Biodiversity data (UWA) • NBDB, DEM, MAK • NEMA (EIAs, environmental data) • Public Universities and Research institutions • UNCST • UNRA • URA (export and import, revenue) • Uganda National Meteorology Authority • Uganda Police – crime data • Judiciary – cases in formal courts • Indigenous technical/ecological knowledge – indigenous peoples and Ugandans in general • NGOs, • Private companies
  19. 19. Challenges • Lengthy process, highly bureaucratic, costly • Most Data is not centrally managed – all over the place • Not standardized, varied scales (spatial and temporal) and formats • Citation/attribution inadequacies • Legalities and ethical issues – confidential and sensitive data • Donor conditions/restrictions/confidentiality terms • Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers ourselves • Restrictive Intellectual Property Rights (IPR) • Competition from researchers and institutions
  20. 20. Strategies/best practices • Some data is commercially available other data is by request • MoUs for data management and sharing plan • Data sharing agreements • Collaborations and Partnerships • Provision of data to NBDB & other databases at Museums, universities, herbaria, GBIF • Contracts with data holders • Purchase • IP negotiations with donors/sponsors
  21. 21. Recommendations • Government should create an open access policy to publically funded data • Government commit funding for data collection to increase • Develop and operationalize data sharing strategy, e.g. via an institutional repository, data centre, website • Data Handling Procedures in Government • Government develop a clear policy on data availability and access from donor sponsored data collection managing and sharing data that apply to projects or the centre • Relax the IPRs for data and information of national and global importance (e.g. IUCN red lists, GBIF) and protection of IPRs for sensitive information
  22. 22. Questions? the floor is yours